Tootfinder

visualizeus: vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.
This network has 577437 nodes and 2298816 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph

Tagging @… ❣️

This https://arxiv.org/abs/2312.17188 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Development of a new CEDAR for kaon identification at the NA62 experiment at CERN
The NA62 experiment at CERN utilises a differential Cherenkov counter with achromatic ring focus (CEDAR) for tagging kaons within an unseparated monochromatic beam of charged hadrons. The CEDAR-H detector was developed to minimise the amount of material in the path of the beam by using hydrogen gas as the radiator medium. The detector was shown to satisfy the kaon tagging requirements in a test-beam before installation and commissioning at the experiment. The CEDAR-H performance was measured us…

visualizeus: vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.
This network has 577437 nodes and 2298816 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph

"Turtle tagging project is helping protect leatherback migratory routes"
#Turtles #Animals #Conservation

Turtle tagging project is helping protect leatherback migratory routes
Conservationists in Panama's Pearl Islands are fitting leatherback turtles with satellite tags, helping scientists understand and protect their migratory routes

HMTRace: Hardware-Assisted Memory-Tagging based Dynamic Data Race Detection
Jaidev Shastri, Xiaoguang Wang, Basavesh Ammanaghatta Shivakumar, Freek Verbeek, Binoy Ravindran
https://arxiv.org/abs/2404.19139

HMTRace: Hardware-Assisted Memory-Tagging based Dynamic Data Race Detection
Data race, a category of insidious software concurrency bugs, is often challenging and resource-intensive to detect and debug. Existing dynamic race detection tools incur significant execution time and memory overhead while exhibiting high false positives. This paper proposes HMTRace, a novel Armv8.5-A memory tag extension (MTE) based dynamic data race detection framework, emphasizing low compute and memory requirements while maintaining high accuracy and precision. HMTRace supports race detect…

Inferring flavor mixtures in multijet events
Ezequiel Alvarez, Yuling Yao
https://arxiv.org/abs/2404.01387 https://arxiv.org/pdf/2404…

Inferring flavor mixtures in multijet events
Multijet events with heavy-flavors are of central importance at the LHC since many relevant processes -- such as $t\bar t$, $hh$, $t\bar t h$ and others -- have a preferred branching ratio for this final state. Current techniques for tackling these processes use hard-assignment selections through $b$-tagging working points, and suffer from systematic uncertainties because of the difficulties in Monte Carlo simulations. We develop a flexible Bayesian mixture model approach to simultaneously infe…

Chiefs plan on franchise tagging L’Jarius Sneed unless long-term deal is reached: Sources https://theathletic.com/5300334/2024/02/27/ljarius-sneed-franchise-tag-chiefs/

Chiefs plan on franchise tagging L’Jarius Sneed unless long-term deal is reached: Sources
Sneed tallied two interceptions and 14 pass breakups in 16 regular-season games with the Chiefs in 2023.

Did you know that #Windows (with #NTFS) has native file #tagging built-in?
I describe how it's working and why you will not use it on

This https://arxiv.org/abs/2402.18101 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Assessing the Efficacy of Grammar Error Correction: A Human Evaluation Approach in the Japanese Context
In this study, we evaluated the performance of the state-of-the-art sequence tagging grammar error detection and correction model (SeqTagger) using Japanese university students' writing samples. With an automatic annotation toolkit, ERRANT, we first evaluated SeqTagger's performance on error correction with human expert correction as the benchmark. Then a human-annotated approach was adopted to evaluate Seqtagger's performance in error detection using a subset of the writing dataset. Results in…

Don't you love complaining about something/someone on Fedi and not tagging them because you know they're gonna lie about it or be disengenuous, and then someone comes in and tags them anyway...?
Thanks, you must be fun at parties, inviting the ones who weren't invited...🤦‍♂️

NFC East team a landing spot for Derrick Henry? https://www.yardbarker.com/nfl/articles/nfc_east_team_a_landing_spot_for_derrick_henry/s1_13132_40036799

NFC East team a landing spot for Derrick Henry?
The Dallas Cowboys ground attack disappointed in 2023, finishing 14th in the league in rushing yards (112.9). Adding a former first-team All-Pro could rejuvenate the run game. Per ESPN's Adam Schefter, the Tennessee Titans will let running back Derrick Henry enter free agency instead of franchise tagging him. CBS Sports' Cody Benjamin named the Cowboys as a potential landing spot. "The Cowboys are well-positioned to pivot away from the expensive big-name back after a so-so year of Tony Pollard …

AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response
Govind Mittal, Arthur Jakobsson, Kelly O. Marshall, Chinmay Hegde, Nasir Memon
https://arxiv.org/abs/2402.18085

AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response
Scammers are aggressively leveraging AI voice-cloning technology for social engineering attacks, a situation significantly worsened by the advent of audio Real-time Deepfakes (RTDFs). RTDFs can clone a target's voice in real-time over phone calls, making these interactions highly interactive and thus far more convincing. Our research confidently addresses the gap in the existing literature on deepfake detection, which has largely been ineffective against RTDF threats. We introduce a robust chal…

Facebook is tagging videos of the Key Bridge collapse in Baltimore as "False information".
Has Meta turned "fact checking" over to AI, or to Alex Jones?
[edit: "False information" tag removed a few hours later. I suspect I was not the only one who complained.]
https://www.

Chiefs plan to franchise tag L’Jarius Sneed unless long-term deal is reached: Sources https://theathletic.com/5300334/2024/02/27/ljarius-sneed-franchise-tag-chiefs-2/

Chiefs plan on franchise tagging L’Jarius Sneed unless long-term deal is reached: Sources
If the Chiefs can't sign their star cornerback to a contract extension, they would be comfortable trading him before the NFL Draft.

I still think we should add an extra layer of #tagging to #SocialMedia in general but to #Mastodon and the

In the future, we all work for next to nothing tagging and annotating videos, so rich people will sit catatonic watching videos for longer, doing nothing.
#TikTok
https://www.youtube.com/watch?v=hQJ9aHuLU3<…

@… is still looking for a student to work on a Google Open Summer of Code proposal for the #OpenStreetMap iD editor:
Mapping widget for real world access restrictions

Adobe updates Frame.io, adding new workflow and tagging capabilities for project management, in beta for Free and Pro customers on the web, iOS, and iPadOS (Jess Weatherbed/The Verge)
https://www.theverge.com/2024/4/9/24125318/ad…

Adobe overhauls Frame.io with creative new project management tools
Adobe has introduced the Frame.io V4 beta, overhauling the cloud-based media collaboration service with oodles of new workflow and tagging capabilities for content creators.

Chiefs GM Brett Veach: Retaining Chris Jones ‘at the top of the list’ of offseason priorities https://theathletic.com/5303190/2024/02/27/chris-jones-contract-chiefs-gm-franchise-tag/

Chiefs GM Brett Veach: Retaining Chris Jones ‘at the top of the list’ of offseason priorities
Franchise tagging Jones would cost the Chiefs $32.16 million, while tagging L'Jarius Sneed would cost just over $19 million.

Is location tagging on @… a guess-and-check kind of thing?
Maybe location needs to include states as well?
#pixelfed

Raiders' plans for former All-Pro revealed https://www.yardbarker.com/nfl/articles/raiders_plans_for_former_all_pro_revealed/s1_13132_40021280

Raiders' plans for former All-Pro revealed
Las Vegas Raiders running back Josh Jacobs underperformed last season, but the Raiders want to give him another chance. Per ESPN's Adam Schefter, the Raiders will try to re-sign the former first-team All-Pro — who enters free agency in March — to a multiyear deal instead of using the franchise tag (a fully guaranteed one-year contract with a non-negotiable salary).  Schefter added tagging him again would cost $14.14M, resulting in a higher cap hit that would devour cap space. According to …

Assessing the Efficacy of Grammar Error Correction: A Human Evaluation Approach in the Japanese Context
Qiao Wang, Zheng Yuan
https://arxiv.org/abs/2402.18101

Assessing the Efficacy of Grammar Error Correction: A Human Evaluation Approach in the Japanese Context
In this study, we evaluated the performance of the state-of-the-art sequence tagging grammar error detection and correction model (SeqTagger) using Japanese university students' writing samples. With an automatic annotation toolkit, ERRANT, we first evaluated SeqTagger's performance on error correction with human expert correction as the benchmark. Then a human-annotated approach was adopted to evaluate Seqtagger's performance in error detection using a subset of the writing dataset. Results in…

Facebook is tagging videos of the Key Bridge collapse in Baltimore as "False information".
Has Meta turned "fact checking" over to AI, or to Alex Jones?
[edit: "False information" tag removed a few hours later. I suspect I was not the only one who complained.]
https://www.

visualizeus: vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.
This network has 577437 nodes and 2298816 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph

Giants will consider using this uncommon NFL tagging tactic they haven't utilized in 28 years, per report

https://www.cbssports.com/nfl/news/g…

Giants will consider using this uncommon NFL tagging tactic they haven't utilized in 28 years, per report
The Giants haven't gone this route with a player since 1996

Fast Inclusive Flavour Tagging at LHCb
Claire Prouve, Niklas Nolte, Christoph Hasse
https://arxiv.org/abs/2404.14145 https://arxiv.or…

Fast Inclusive Flavour Tagging at LHCb
The task of identifying B meson flavor at the primary interaction point in the LHCb detector is crucial for measurements of mixing and time-dependent CP violation. Flavour tagging is usually done with a small number of expert systems that find important tracks to infer the B meson flavour from. Recent advances show that replacing all of those expert systems with one ML algorithm that considers all tracks in an event yields an increase in tagging power. However, training the current classifier t…

Towards auditory attention decoding with noise-tagging: A pilot study
H. A. Scheppink, S. Ahmadi, P. Desain, M. Tangermann, J. Thielen
https://arxiv.org/abs/2403.15523

Towards auditory attention decoding with noise-tagging: A pilot study
Auditory attention decoding (AAD) aims to extract from brain activity the attended speaker amidst candidate speakers, offering promising applications for neuro-steered hearing devices and brain-computer interfacing. This pilot study makes a first step towards AAD using the noise-tagging stimulus protocol, which evokes reliable code-modulated evoked potentials, but is minimally explored in the auditory modality. Participants were sequentially presented with two Dutch speech stimuli that were amp…

“As a result [patient] EVR is incapable of making a decision about trivial matters like where he should go for dinner for he becomes overwhelmed by irrelevant information. He is incapable of tagging and prioritising informational criteria as relevant or irrelevant for all criteria carry the same emotional weight.” This perfectly describes me trying to make travel arrangements. 😬

visualizeus: vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.
This network has 577437 nodes and 2298816 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph

Corrected the tagging of the newly added cycleway due to a review comment. I love #openstreetmap

This https://arxiv.org/abs/2312.11234 has been replaced.
link: https://scholar.google.com/scholar?q=a

Perceptual Musical Features for Interpretable Audio Tagging
In the age of music streaming platforms, the task of automatically tagging music audio has garnered significant attention, driving researchers to devise methods aimed at enhancing performance metrics on standard datasets. Most recent approaches rely on deep neural networks, which, despite their impressive performance, possess opacity, making it challenging to elucidate their output for a given input. While the issue of interpretability has been emphasized in other fields like medicine, it has n…

visualizeus: vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.
This network has 577437 nodes and 2298816 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph

Turns out I'm not done.
Damnit. It was supposed to be just a January project.
I'm adding another app along side the Mood-log and Monolith-Face for my Pinetime running WaspOS.
The plan is tagging the time of every meal or snack or drink or toke, tracking when you take your meds, or do your exercise, or whatever. User-configured categories.
The screen divides into four so my experimental hierarchy is:
* Food / Drink / Meds / Fun
* Food
* Meal
* Snack
* Sweets
* Cheese
* Drink
* Water
* Sugar
* Caffine
* Alcohol
* Medic
* Allergy
* Pain
* Vitamin
* ??
* Other
* Cigarette
* MJ
* ???
* ???
When the app is triggered it shows the time of last-milestone for each.
The ??? are empty for now. Tempted to put like LSD and MDMA in there but I've done them so infrequently it'd be not really worth tracking.
One day in and I'm liking knowing when I last fetched a glass of water or ate a snack with confidence. Not even importing into the daily graph yet.
What should it be called? "Level Up" seemed like it might encourage alcoholism given "tracking the number of drinks you actually drink" was part of the plan.
Working title is "milestone" mostly just for the alliteration of "Mood" and "Monolith" and "Milestone".
If you had a 2x2 menu of buttons to mark time-stamps that you could program into your watch, with as much recursion into sub-menus as you needed, how would you set yours up?

The extent of the absolutely stunning tagging on this abandoned condo project in downtown Los Angeles and the skills on display are just incredible!
H/T @PaperFrank on Twitter for the video
https://hyperallergic.com/870121/artis

Offline tagging of radon-induced backgrounds in XENON1T and applicability to other liquid xenon detectors
E. Aprile, J. Aalbers, K. Abe, S. Ahmed Maouloud, L. Althueser, B. Andrieu, E. Angelino, J. R. Angevaare, D. Ant\'on Martin, F. Arneodo, L. Baudis, A. L. Baxter, M. Bazyk, L. Bellagamba, R. Biondi, A. Bismark, E. J. Brookes, A. Brown, G. Bruno, R. Budnik, T. K. Bui, J. M. R. Cardoso, A. P. Cimental Chavez, A. P. Colijn, J. Conrad, J. J. Cuenca-Garc\'ia, V. D'Andrea, L. …

Offline tagging of radon-induced backgrounds in XENON1T and applicability to other liquid xenon detectors
This paper details the first application of a software tagging algorithm to reduce radon-induced backgrounds in liquid noble element time projection chambers, such as XENON1T and XENONnT. The convection velocity field in XENON1T was mapped out using $^{222}\text{Rn}$ and $^{218}\text{Po}$ events, and the root-mean-square convection speed was measured to be $0.30 \pm 0.01$ cm/s. Given this velocity field, $^{214}\text{Pb}$ background events can be tagged when they are followed by $^{214}\text{Bi…

Improving the low-energy muon beam quality of the LEM beamline at PSI: Characterisation of ultra-thin carbon foils
Gianluca Janka, Maria Mendes Martins, Xiaojie Ni, Zaher Salman, Andreas Suter, Thomas Prokscha
https://arxiv.org/abs/2402.15254

Improving the low-energy muon beam quality of the LEM beamline at PSI: Characterisation of ultra-thin carbon foils
The Low-Energy Muon beamline (LEM) at the Paul Scherrer Institute currently stands as the world's only facility providing a continuous beam of low-energy muons with keV energies for conducting muon spin rotation experiments on a nanometer depth scale in heterostructures and near a sample's surface. As such, optimizing the beam quality to reach its full potential is of paramount importance. One of the ongoing efforts is dedicated to improving the already applied technique of single muon tagging …

X adds blue checks to some accounts, including journalists, as part of its plan to give free Premium status to those with 2,500 "verified subscriber followers" (Amrita Khalid/The Verge)
https://www.theverge.com/2024/4/3/24120602/x-free-…

X’s ‘complimentary’ Premium push gives people blue checks they didn’t ask for
Tagging X Premium subscriptions to accounts with enough paying followers is re-applying the “verified” checkmark logo on some accounts that don’t pay for it.

This https://arxiv.org/abs/2309.08630 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions
Jet tagging is a classification problem in high-energy physics experiments that aims to identify the collimated sprays of subatomic particles, jets, from particle collisions and tag them to their emitter particle. Advances in jet tagging present opportunities for searches of new physics beyond the Standard Model. Current approaches use deep learning to uncover hidden patterns in complex collision data. However, the representation of jets as inputs to a deep learning model have been varied, and …

visualizeus: vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.
This network has 577437 nodes and 2298816 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph

Nice overview about LLMs for data annotation including paper references of papers with open source code & data.
Zhen Tan et al, Large Language Models for Data Annotation: A Survey, https://arxiv.org/abs/2402.13446

Towards auditory attention decoding with noise-tagging: A pilot study
H. A. Scheppink, S. Ahmadi, P. Desain, M. Tangermann, J. Thielen
https://arxiv.org/abs/2403.15523

Towards auditory attention decoding with noise-tagging: A pilot study
Auditory attention decoding (AAD) aims to extract from brain activity the attended speaker amidst candidate speakers, offering promising applications for neuro-steered hearing devices and brain-computer interfacing. This pilot study makes a first step towards AAD using the noise-tagging stimulus protocol, which evokes reliable code-modulated evoked potentials, but is minimally explored in the auditory modality. Participants were sequentially presented with two Dutch speech stimuli that were amp…

Offline tagging of radon-induced backgrounds in XENON1T and applicability to other liquid xenon detectors
E. Aprile, J. Aalbers, K. Abe, S. Ahmed Maouloud, L. Althueser, B. Andrieu, E. Angelino, J. R. Angevaare, D. Ant\'on Martin, F. Arneodo, L. Baudis, A. L. Baxter, M. Bazyk, L. Bellagamba, R. Biondi, A. Bismark, E. J. Brookes, A. Brown, G. Bruno, R. Budnik, T. K. Bui, J. M. R. Cardoso, A. P. Cimental Chavez, A. P. Colijn, J. Conrad, J. J. Cuenca-Garc\'ia, V. D'Andrea, L. …

Offline tagging of radon-induced backgrounds in XENON1T and applicability to other liquid xenon detectors
This paper details the first application of a software tagging algorithm to reduce radon-induced backgrounds in liquid noble element time projection chambers, such as XENON1T and XENONnT. The convection velocity field in XENON1T was mapped out using $^{222}\text{Rn}$ and $^{218}\text{Po}$ events, and the root-mean-square convection speed was measured to be $0.30 \pm 0.01$ cm/s. Given this velocity field, $^{214}\text{Pb}$ background events can be tagged when they are followed by $^{214}\text{Bi…

Jerry Jones ‘confident’ about Dak Prescott ending Cowboys’ Super Bowl drought https://www.yardbarker.com/nfl/articles/jerry_jones_confident_about_dak_prescott_ending_cowboys_super_bowl_drought/s1_17325_…

Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning
Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu
https://arxiv.org/abs/2403.07342

Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning
Aspect Sentiment Triplet Extraction (ASTE) is a burgeoning subtask of fine-grained sentiment analysis, aiming to extract structured sentiment triplets from unstructured textual data. Existing approaches to ASTE often complicate the task with additional structures or external data. In this research, we propose a novel tagging scheme and employ a contrastive learning approach to mitigate these challenges. The proposed approach demonstrates comparable or superior performance in comparison to state…

visualizeus: vi.sualize.us picture tagging network
Three bipartite networks of tag-picture, user-picture, and user-tag linkages that represent the folksonomy of the picture tagging network of vi.sualize.us. The date of this snapshot is uncertain.
This network has 577437 nodes and 2298816 edges.
Tags: Informational, Folksonomy, Unweighted, Multigraph

X adds blue checks to some large accounts as part of its plan to give free Premium memberships to those with at least 2,500 "verified subscriber followers" (Amrita Khalid/The Verge)
https://www.theverge.com/2024/4/3/24120602/x-free-premi…

X’s ‘complimentary’ Premium push gives people blue checks they didn’t ask for
Tagging X Premium subscriptions to accounts with enough paying followers is re-applying the “verified” checkmark logo on some accounts that don’t pay for it.

Corrected the tagging of the newly added cycleway due to a review comment. I love #openstreetmap

@… hope you don't mind me tagging you for Fedi help on Threads. I'm sure you're way more knowledgeable than me with instance suggestions and such.🤷‍♂️

This https://arxiv.org/abs/2306.03204 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

ChatGPT as a mapping assistant: A novel method to enrich maps with generative AI and content derived from street-level photographs
This paper explores the concept of leveraging generative AI as a mapping assistant for enhancing the efficiency of collaborative mapping. We present results of an experiment that combines multiple sources of volunteered geographic information (VGI) and large language models (LLMs). Three analysts described the content of crowdsourced Mapillary street-level photographs taken along roads in a small test area in Miami, Florida. GPT-3.5-turbo was instructed to suggest the most appropriate tagging f…

Saquon Barkley landing spots: Giants not tagging running back ahead of 2024 NFL free agency

https://www.cbssports.com/nfl/news/saquon-

Saquon Barkley landing spots: Giants not tagging running back ahead of 2024 NFL free agency
Barkley is slated to be an unrestricted free agent

Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning
Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu
https://arxiv.org/abs/2403.07342

Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning
Aspect Sentiment Triplet Extraction (ASTE) is a burgeoning subtask of fine-grained sentiment analysis, aiming to extract structured sentiment triplets from unstructured textual data. Existing approaches to ASTE often complicate the task with additional structures or external data. In this research, we propose a novel tagging scheme and employ a contrastive learning approach to mitigate these challenges. The proposed approach demonstrates comparable or superior performance in comparison to state…

Captions Are Worth a Thousand Words: Enhancing Product Retrieval with Pretrained Image-to-Text Models
Jason Tang, Garrin McGoldrick, Marie Al-Ghossein, Ching-Wei Chen
https://arxiv.org/abs/2402.08532

Captions Are Worth a Thousand Words: Enhancing Product Retrieval with Pretrained Image-to-Text Models
This paper explores the usage of multimodal image-to-text models to enhance text-based item retrieval. We propose utilizing pre-trained image captioning and tagging models, such as instructBLIP and CLIP, to generate text-based product descriptions which are combined with existing text descriptions. Our work is particularly impactful for smaller eCommerce businesses who are unable to maintain the high-quality text descriptions necessary to effectively perform item retrieval for search and recomm…

Implementation of a Low-Cost, Distributed, Absolute Time Reference in an application dedicated to damage detection
Vincent Le Cam (I4S, COSYS-SII), Daniel-Marc Ducros (LCPC), Louis-Marie Cottineau (IFSTTAR/COSYS/SII)
https://arxiv.org/abs/2404.08645

Implementation of a Low-Cost, Distributed, Absolute Time Reference in an application dedicated to damage detection
Typical structural health monitoring configuration implies sensors and supervisor installations connected by electric cable for communication. As done in other wireless projects, this one aim at reducing installation and maintenance costsby designing a wireless sensor network. One of the problem when designing wireless sensors, is data tagging: an event has to be correctly dated by many sensors. This problem increases when a precise time stamping is required. What distinguishes this project is …

Topological heavy-flavor tagging and intrinsic bottom at the Electron-Ion Collider
Thomas Boettcher
https://arxiv.org/abs/2402.11344 https://

Topological heavy-flavor tagging and intrinsic bottom at the Electron-Ion Collider
Heavy-flavor hadron production, in particular bottom hadron production, is difficult to study in deep-inelastic scattering (DIS) experiments due to small production rates and branching fractions. To overcome these limitations, a method for identifying heavy-flavor DIS events based on event topology is proposed. Based on a heavy-flavor jet tagging strategy developed for the LHCb experiment, this algorithm uses displaced vertices to identify decays of heavy-flavor hadrons. The algorithm's perform…

This https://arxiv.org/abs/2403.05428 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMM_…

Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition
In real-world conversations, the diversity and ambiguity of stickers often lead to varied interpretations based on the context, necessitating the requirement for comprehensively understanding stickers and supporting multi-tagging. To address this challenge, we introduce StickerTAG, the first multi-tag sticker dataset comprising a collected tag set with 461 tags and 13,571 sticker-tag pairs, designed to provide a deeper understanding of stickers. Recognizing multiple tags for stickers becomes pa…

This https://arxiv.org/abs/2404.13569 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

Musical Word Embedding for Music Tagging and Retrieval
Word embedding has become an essential means for text-based information retrieval. Typically, word embeddings are learned from large quantities of general and unstructured text data. However, in the domain of music, the word embedding may have difficulty understanding musical contexts or recognizing music-related entities like artists and tracks. To address this issue, we propose a new approach called Musical Word Embedding (MWE), which involves learning from various types of texts, including b…

Report: Cowboys running back Tony Pollard expected to sign with Tennessee Titans in free agency https://www.yardbarker.com/nfl/articles/report_cowboys_running_back_tony_pollard_expec…

Report: Cowboys running back Tony Pollard expected to sign with Tennessee Titans in free agency
Dallas Cowboys running back Tony Pollard is reportedly signing a deal to head to the Tennessee Titans ahead of the free agency window on Wednesday, according to NFL reporter Aaron Wilson. He served as the team’s starting running back for the second straight season after the departure of Ezekiel Elliott but Dallas made it clear they’d be willing to let him walk after tagging him for 2023. In 2023, the former Memphis standout was coming off of a high-ankle sprain, which required surgery, and …

Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition
Bingbing Wang, Bin Liang, Chun-Mei Feng, Wangmeng Zuo, Zhixin Bai, Shijue Huang, Kam-Fai Wong, Ruifeng Xu
https://arxiv.org/abs/2403.05428

Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition
In real-world conversations, the diversity and ambiguity of stickers often lead to varied interpretations based on the context, necessitating the requirement for comprehensively understanding stickers and supporting multi-tagging. To address this challenge, we introduce StickerTAG, the first multi-tag sticker dataset comprising a collected tag set with 461 tags and 13,571 sticker-tag pairs, designed to provide a deeper understanding of stickers. Recognizing multiple tags for stickers becomes pa…

This https://arxiv.org/abs/2310.06608 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Gadolinium concentration measurement with an atomic absorption spectrophotometer
Because gadolinium (Gd) has the highest thermal neutron capture cross section, resulting in an 8 MeV gamma cascade upon capture, it has been proposed for dissolution in water Cherenkov detectors to achieve efficient neutron tagging capabilities. While metallic Gd is insoluble in water, several compounds are very easy to dissolve. Gadolinium sulfate, Gd$_2$(SO$_4$)$_3$, has been thoroughly tested and proposed as the best candidate. Accurate measurement of its concentration, free of doubt from im…

This https://arxiv.org/abs/2311.15867 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Constraining models of hadronic showers using proton-Oxygen collisions at the LHC involving proton/neutron tagging
The study of hadronic showers, which are produced by cosmic rays penetrating the Earth's atmosphere, is essential for shedding light on the origins and characteristics of high-energy particles originating from space and reaching our planet. At the Large Hadron Collider at CERN, there are plans to conduct a short run of proton--oxygen collisions in 2025 to refine the modeling of hadronic showers. This work explores the potential impact on constraining models of hadronic showers by measuring inte…

This https://arxiv.org/abs/2401.06790 has been replaced.
link: https://scholar.google.com/scholar?q=a

Using Zero-shot Prompting in the Automatic Creation and Expansion of Topic Taxonomies for Tagging Retail Banking Transactions
This work presents an unsupervised method for automatically constructing and expanding topic taxonomies using instruction-based fine-tuned LLMs (Large Language Models). We apply topic modeling and keyword extraction techniques to create initial topic taxonomies and LLMs to post-process the resulting terms and create a hierarchy. To expand an existing taxonomy with new terms, we use zero-shot prompting to find out where to add new nodes, which, to our knowledge, is the first work to present such…

This https://arxiv.org/abs/2404.01387 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Inferring flavor mixtures in multijet events
Multijet events with heavy-flavors are of central importance at the LHC since many relevant processes -- such as $t\bar t$, $hh$, $t\bar t h$ and others -- have a preferred branching ratio for this final state. Current techniques for tackling these processes use hard-assignment selections through $b$-tagging working points, and suffer from systematic uncertainties because of the difficulties in Monte Carlo simulations. We develop a flexible Bayesian mixture model approach to simultaneously infe…

'We should be throwing another boat parade': What Mayfield, Evans' returns mean for Bucs https://www.espn.com/nfl/story/_/id/39702389/baker-mayfield-mike-evans-return-buccaneers

What Baker Mayfield's return means for the Buccaneers - ESPN
Tampa Bay was able to re-sign Baker Mayfield and Mike Evans to multi-year deals to go along with franchise tagging Antoine Winfield Jr.

This https://arxiv.org/abs/2308.00716 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Performance and calibration of quark/gluon-jet taggers using 140 fb$^{-1}$ of $pp$ collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector
The identification of jets originating from quarks and gluons, often referred to as quark/gluon tagging, plays an important role in various analyses performed at the Large Hadron Collider, as Standard Model measurements and searches for new particles decaying to quarks often rely on suppressing a large gluon-induced background. This paper describes the measurement of the efficiencies of quark/gluon taggers developed within the ATLAS Collaboration, using $\sqrt{s} = 13$ TeV proton-proton collisi…

This https://arxiv.org/abs/2401.16589 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
Prompt-based methods have been successfully applied to multilingual pretrained language models for zero-shot cross-lingual understanding. However, most previous studies primarily focused on sentence-level classification tasks, and only a few considered token-level labeling tasks such as Named Entity Recognition (NER) and Part-of-Speech (POS) tagging. In this paper, we propose Token-Level Prompt Decomposition (ToPro), which facilitates the prompt-based method for token-level sequence labeling ta…

This https://arxiv.org/abs/2401.16589 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
Prompt-based methods have been successfully applied to multilingual pretrained language models for zero-shot cross-lingual understanding. However, most previous studies primarily focused on sentence-level classification tasks, and only a few considered token-level labeling tasks such as Named Entity Recognition (NER) and Part-of-Speech (POS) tagging. In this paper, we propose Token-Level Prompt Decomposition (ToPro), which facilitates the prompt-based method for token-level sequence labeling ta…

MRL Parsing Without Tears: The Case of Hebrew
Shaltiel Shmidman, Avi Shmidman, Moshe Koppel, Reut Tsarfaty
https://arxiv.org/abs/2403.06970 https://…

MRL Parsing Without Tears: The Case of Hebrew
Syntactic parsing remains a critical tool for relation extraction and information extraction, especially in resource-scarce languages where LLMs are lacking. Yet in morphologically rich languages (MRLs), where parsers need to identify multiple lexical units in each token, existing systems suffer in latency and setup complexity. Some use a pipeline to peel away the layers: first segmentation, then morphology tagging, and then syntax parsing; however, errors in earlier layers are then propagated …

This https://arxiv.org/abs/2312.07605 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Study of High-Transverse-Momentum Higgs Boson Production in Association with a Vector Boson in the $qqbb$ Final State with the ATLAS Detector
This Letter presents the first study of Higgs boson production in association with a vector boson (V = W or Z) in the fully hadronic $qqbb$ final state using data recorded by the ATLAS detector at the LHC in proton-proton collisions at $\sqrt{s}=13$ TeV and corresponding to an integrated luminosity of 137 fb$^{-1}$. The vector bosons and Higgs bosons are each reconstructed as large-radius jets and tagged using jet substructure techniques. Dedicated tagging algorithms exploiting $b$-tagging prop…

This https://arxiv.org/abs/2312.08276 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Neural networks for boosted di-$τ$ identification
We train several neural networks and boosted decision trees to discriminate fully-hadronic boosted di-$τ$ topologies against background QCD jets, using calorimeter and tracking information. Boosted di-$τ$ topologies consisting of a pair of highly collimated $τ$-leptons, arise from the decay of a highly energetic Standard Model Higgs or Z boson or from particles beyond the Standard Model. We compare the tagging performance for different neural-network models and a boosted decision tree, the l…

This https://arxiv.org/abs/2310.03440 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Jet origin identification and measurement of rare hadronic decays of Higgs boson at $e^+e^-$ collider
To enhance the scientific discovery power of high-energy collider experiments, we propose and realize the concept of jet origin identification that categorizes jets into 5 quark species $(b,c,s,u,d)$, 5 anti-quarks $(\bar{b},\bar{c},\bar{s},\bar{u},\bar{d})$, and gluon. Using state-of-the-art algorithms and simulated $ν\barνH, H\rightarrow jj$ events at 240~GeV center-of-mass energy at the electron-positron Higgs factory, the jet origin identification simultaneously reaches jet flavor tagging…