Tootfinder

Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance
Rachith Aiyappa, Shruthi Senthilmani, Jisun An, Haewoon Kwak, Yong-Yeol Ahn
https://arxiv.org/abs/2403.00236

Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance
We investigate the performance of LLM-based zero-shot stance detection on tweets. Using FlanT5-XXL, an instruction-tuned open-source LLM, with the SemEval 2016 Tasks 6A, 6B, and P-Stance datasets, we study the performance and its variations under different prompts and decoding strategies, as well as the potential biases of the model. We show that the zero-shot approach can match or outperform state-of-the-art benchmarks, including fine-tuned models. We provide various insights into its performa…

A Self-explaining Neural Architecture for Generalizable Concept Learning
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
https://arxiv.org/abs/2405.00349 https…

A Self-explaining Neural Architecture for Generalizable Concept Learning
With the wide proliferation of Deep Neural Networks in high-stake applications, there is a growing demand for explainability behind their decision-making process. Concept learning models attempt to learn high-level 'concepts' - abstract entities that align with human understanding, and thus provide interpretability to DNN architectures. However, in this paper, we demonstrate that present SOTA concept learning approaches suffer from two major problems - lack of concept fidelity wherein the model…

Sota vai rauha, Mihail Siskin
#kirjat #Venäjä #Ukraina #YleATalk

Valhe ja totuus eivät ole samanlaisia Venäjällä ja lännessä – Mihail Šiškinin Sota vai rauha - Kulttuuritoimitus
KIRJAT | Venäjän merkittävimpiin kuuluva nykykirjailija piirtää kiinnostavaa ja syvää kuvaa venäläisestä mielenlaadusta ja ravistelee siinä sivussa länsimaita hereille ruususen unestaan.

Festnahmen bei Protest von Soldatenangehörigen in Moskau
Bei einer Protestaktion von Angehörigen russischer Soldaten am zweiten Jahrestag der russischen Offensive in der Ukraine sind in Moskau mehrere Menschen festgenommen worden, darunter auch Journalisten. In Videos der unabhängigen Medien Sota und Sotavision war im Onlinedienst Telegram zu sehen, wie Polizisten die Menschen abführten. Zwei der Fes…
📷

A Self-explaining Neural Architecture for Generalizable Concept Learning
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
https://arxiv.org/abs/2405.00349 https…

A Self-explaining Neural Architecture for Generalizable Concept Learning
With the wide proliferation of Deep Neural Networks in high-stake applications, there is a growing demand for explainability behind their decision-making process. Concept learning models attempt to learn high-level 'concepts' - abstract entities that align with human understanding, and thus provide interpretability to DNN architectures. However, in this paper, we demonstrate that present SOTA concept learning approaches suffer from two major problems - lack of concept fidelity wherein the model…

Accurate and precise quantum computation of valence two-neutron systems
Sota Yoshida, Takeshi Sato, Takumi Ogata, Tomoya Naito, Masaaki Kimura
https://arxiv.org/abs/2404.01694

Accurate and precise quantum computation of valence two-neutron systems
Developing methods to solve nuclear many-body problems with quantum computers is an imperative pursuit within the nuclear physics community. Here, we introduce a quantum algorithm to accurately and precisely compute the ground state of valence two-neutron systems leveraging presently available Noisy Intermediate-Scale Quantum devices. Our focus lies on the nuclei having a doubly-magic core plus two valence neutrons in the $ p $, $ sd $, and $ pf $ shells, i.e. ${}^6$He, ${}^{18}$O, and ${}^{42}…

Minnesota State Senator Nicole Mitchell Arrested On Suspicion Of Burglary (Steve Karnowski/Associated Press)
https://www.huffpost.com/entry/ap-us-minnesota-state-senator-arrested_n_6626ed5ae4b06e0c2709ae2c
http://www.memeorandum.com/240422/p68#a240422p68

"Tarvitaan hetkiä, jolloin emme enää suostu nöyryytyksiin, vaan lähdemme kaduille puolustamaan ihmisarvoamme. »Valta olemme me»,huusimme taas. Kreml oli toista mieltä."
Mihail Siskin, Sota vai rauha
#valta #ihmisoikeudet

Tekniikka ja talous ilmoittaa, että Patria on tekemässä läpimurron. Näin sota-aikana voisi kielikuvia ehkä vähän säätää - sotateollisuuden toimittaja ei sentään toimi itse rintamalla
https://www.

Patria tekemässä läpimurron ja toimittamassa jopa 1000 panssariajoneuvoa Bundeswehrille, kertoo saksalaislehti
Patria, Defence Service Logistics ja Flensburger Fahrzeugbau Gesellschaft ovat sopineet yhteistyöstä. Tuotanto tapahtuisi lähinnä Saksassa.

This https://arxiv.org/abs/2402.16671 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Structured data sources, such as tables, graphs, and databases, are ubiquitous knowledge sources. Despite the demonstrated capabilities of large language models (LLMs) on plain text, their proficiency in interpreting and utilizing structured data remains limited. Our investigation reveals a notable deficiency in LLMs' ability to process structured data, e.g., ChatGPT lags behind state-of-the-art (SoTA) model by an average of 35%. To augment the Structured Knowledge Grounding (SKG) capabilities …

Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment
Zhaoyang Wang, Bo Hu, Mingyang Zhang, Jie Li, Leida Li, Maoguo Gong, Xinbo Gao
https://arxiv.org/abs/2402.14401

Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment
Existing free-energy guided No-Reference Image Quality Assessment (NR-IQA) methods still suffer from finding a balance between learning feature information at the pixel level of the image and capturing high-level feature information and the efficient utilization of the obtained high-level feature information remains a challenge. As a novel class of state-of-the-art (SOTA) generative model, the diffusion model exhibits the capability to model intricate relationships, enabling a comprehensive und…

Festnahmen bei Protest von Soldatenangehörigen in Moskau
Bei einer Protestaktion von Angehörigen russischer Soldaten am zweiten Jahrestag der russischen Offensive in der Ukraine sind in Moskau mehrere Menschen festgenommen worden, darunter auch Journalisten. In Videos der unabhängigen Medien Sota und Sotavision war im Onlinedienst Telegram zu sehen, wie Polizisten die Menschen abführten. Zwei der Fes…
📷

Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors
Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
https://arxiv.org/abs/2402.08695

Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors
We propose and analyze an adaptive adversary that can retrain a Trojaned DNN and is also aware of SOTA output-based Trojaned model detectors. We show that such an adversary can ensure (1) high accuracy on both trigger-embedded and clean samples and (2) bypass detection. Our approach is based on an observation that the high dimensionality of the DNN parameters provides sufficient degrees of freedom to simultaneously achieve these objectives. We also enable SOTA detectors to be adaptive by allowi…

This https://arxiv.org/abs/2309.17189 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSD_…

RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
Audio-visual speech separation methods aim to integrate different modalities to generate high-quality separated speech, thereby enhancing the performance of downstream tasks such as speech recognition. Most existing state-of-the-art (SOTA) models operate in the time domain. However, their overly simplistic approach to modeling acoustic features often necessitates larger and more computationally intensive models in order to achieve SOTA performance. In this paper, we present a novel time-frequen…

$M$-TF equivalences in the real Grothendieck groups
Sota Asai, Osamu Iyama
https://arxiv.org/abs/2404.13232 https://arxiv.org/pdf/240…

$M$-TF equivalences in the real Grothendieck groups
For an abelian length category $\mathcal{A}$ with only finitely many isoclasses of simple objects, we have the wall-chamber structure and the TF equivalence in the dual real Grothendeick group $K_0(\mathcal{A})_\mathbb{R}^*=\operatorname{Hom}_\mathbb{R}(K_0(\mathcal{A})_\mathbb{R},\mathbb{R})$, which are defined by semistable subcategories and semistable torsion pairs in $\mathcal{A}$ associated to elements $θ\in K_0(\mathcal{A})_\mathbb{R}^*$. In this paper, we introduce the $M$-TF equivalenc…

This https://arxiv.org/abs/2306.00605 has been replaced.
link: https://scholar.google.com/scholar?q=a

Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction
Predicting the future motion of observed vehicles is a crucial enabler for safe autonomous driving. The field of motion prediction has seen large progress recently with state-of-the-Art (sotA) models achieving impressive results on large-scale public benchmarks. However, recent work revealed that learning-based methods are prone to predict off-road trajectories in challenging scenarios. These can be created by perturbing existing scenarios with additional turns in front of the target vehicle wh…

Assessing Economic Viability: A Comparative Analysis of Total Cost of Ownership for Domain-Adapted Large Language Models versus State-of-the-art Counterparts in Chip Design Coding Assistance
Amit Sharma, Teodor-Dumitru Ene, Kishor Kunal, Mingjie Liu, Zafar Hasan, Haoxing Ren
https://arxiv.org/abs/2404.08850

Assessing Economic Viability: A Comparative Analysis of Total Cost of Ownership for Domain-Adapted Large Language Models versus State-of-the-art Counterparts in Chip Design Coding Assistance
This paper presents a comparative analysis of total cost of ownership (TCO) and performance between domain-adapted large language models (LLM) and state-of-the-art (SoTA) LLMs , with a particular emphasis on tasks related to coding assistance for chip design. We examine the TCO and performance metrics of a domain-adaptive LLM, ChipNeMo, against two leading LLMs, Claude 3 Opus and ChatGPT-4 Turbo, to assess their efficacy in chip design coding generation. Through a detailed evaluation of the acc…

HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
Changkun Liu, Shuai Chen, Yukun Zhao, Huajian Huang, Victor Prisacariu, Tristan Braud
https://arxiv.org/abs/2402.14371

HR-APR: APR-agnostic Framework with Uncertainty Estimation and Hierarchical Refinement for Camera Relocalisation
Absolute Pose Regressors (APRs) directly estimate camera poses from monocular images, but their accuracy is unstable for different queries. Uncertainty-aware APRs provide uncertainty information on the estimated pose, alleviating the impact of these unreliable predictions. However, existing uncertainty modelling techniques are often coupled with a specific APR architecture, resulting in suboptimal performance compared to state-of-the-art (SOTA) APR methods. This work introduces a novel APR-agno…

🔊 #NowPlaying on BBCRadio1's #Radio1sDrumAndBassShow
SOTA:
🎵 Pray For Me
#BBCR1 #SOTA
https://open.spotify.com/track/1bDyUuOtKXNAF4WQV6ZH9k

Enhanced interlayer electron transfer by surface treatments in mixed-dimensional van der Waals semiconductor heterostructures
Takeshi Odagawa, Sota Yamamoto, Chaoliang Zhang, Kazuki Koyama, Jun Ishihara, Giacomo Mariani, Yoji Kunihashi, Haruki Sanada, Junsaku Nitta, Makoto Kohda
https://arxiv.org/abs/2404.12787

Enhanced interlayer electron transfer by surface treatments in mixed-dimensional van der Waals semiconductor heterostructures
We investigate the excitonic species in WS$_{2}$ monolayers transferred onto III-V semiconductor substrates with different surface treatments. When the III-V substrates were covered with amorphous native oxides, negatively charged excitons dominate the spectral weight in low-temperature near-resonance photoluminescence (PL) measurements. However, when the native oxides of the III-V substrates were reduced, neutral excitons begin to dominate the spectral weight, indicating a reduction in the ele…

This https://arxiv.org/abs/2303.10611 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific design from the perspective of the receptive field
Undersampled MRI reconstruction is crucial for accelerating clinical scanning. Dual-domain reconstruction network is performant among SoTA deep learning methods. In this paper, we rethink dual-domain model design from the perspective of the receptive field, which is needed for image recovery and K-space interpolation problems. Further, we introduce domain-specific modules for dual-domain reconstruction, namely k-space global initialization and image-domain parallel local detail enhancement. We …

This https://arxiv.org/abs/2404.13327 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Comparative Analysis on Snowmelt-Driven Streamflow Forecasting Using Machine Learning Techniques
The rapid advancement of machine learning techniques has led to their widespread application in various domains including water resources. However, snowmelt modeling remains an area that has not been extensively explored. In this study, we propose a state-of-the-art (SOTA) deep learning sequential model, leveraging the Temporal Convolutional Network (TCN), for snowmelt-driven discharge modeling in the Himalayan basin of the Hindu Kush Himalayan Region. To evaluate the performance of our propose…

This https://arxiv.org/abs/2305.13915 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

DAPR: A Benchmark on Document-Aware Passage Retrieval
The work of neural retrieval so far focuses on ranking short texts and is challenged with long documents. There are many cases where the users want to find a relevant passage within a long document from a huge corpus, e.g. Wikipedia articles, research papers, etc. We propose and name this task \emph{Document-Aware Passage Retrieval} (DAPR). While analyzing the errors of the State-of-The-Art (SoTA) passage retrievers, we find the major errors (53.5\%) are due to missing document context. This dr…

Decentralized Lifelong Path Planning for Multiple Ackerman Car-Like Robots
Teng Guo, Jingjin Yu
https://arxiv.org/abs/2402.11767 https://

Decentralized Lifelong Path Planning for Multiple Ackerman Car-Like Robots
Path planning for multiple non-holonomic robots in continuous domains constitutes a difficult robotics challenge with many applications. Despite significant recent progress on the topic, computationally efficient and high-quality solutions are lacking, especially in lifelong settings where robots must continuously take on new tasks. In this work, we make it possible to extend key ideas enabling state-of-the-art (SOTA) methods for multi-robot planning in discrete domains to the motion planning o…

MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage
Hao Hao Tan, Kin Wai Cheuk, Taemin Cho, Wei-Hsiang Liao, Yuki Mitsufuji
https://arxiv.org/abs/2403.10024

MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage
This paper presents enhancements to the MT3 model, a state-of-the-art (SOTA) token-based multi-instrument automatic music transcription (AMT) model. Despite SOTA performance, MT3 has the issue of instrument leakage, where transcriptions are fragmented across different instruments. To mitigate this, we propose MR-MT3, with enhancements including a memory retention mechanism, prior token sampling, and token shuffling are proposed. These methods are evaluated on the Slakh2100 dataset, demonstratin…

Solution space and storage capacity of fully connected two-layer neural networks with generic activation functions
Sota Nishiyama, Masayuki Ohzeki
https://arxiv.org/abs/2404.13404

Solution space and storage capacity of fully connected two-layer neural networks with generic activation functions
The storage capacity of a binary classification model is the maximum number of random input-output pairs per parameter that the model can learn. It is one of the indicators of the expressive power of machine learning models and is important for comparing the performance of various models. In this study, we analyze the structure of the solution space and the storage capacity of fully connected two-layer neural networks with general activation functions using the replica method from statistical p…

Theoretical Analysis of the Three-Dimensional CAC Considering Connection and Communication Quality
Sota Narikiyo, Sumiko Miyata, Ken-ichi Baba, Katsunori Yamaoka
https://arxiv.org/abs/2404.04894

Theoretical Analysis of the Three-Dimensional CAC Considering Connection and Communication Quality
In emergencies such as disasters, the number of voice calls (VoIP sessions) increases rapidly for a variety of purposes. Thus, a control server near a disaster area may not be able to connect to VoIP sessions due to congestion. To solve this problem, a Call Admission Control (CAC) is needed to determine whether a VoIP session requesting a connection can be accepted or rejected. A CAC has the purpose of guaranteeing the connection quality and communication quality of VoIP sessions. One conventio…

This https://arxiv.org/abs/2404.07518 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Remembering Transformer for Continual Learning
Neural networks encounter the challenge of Catastrophic Forgetting (CF) in continual learning, where new task knowledge interferes with previously learned knowledge. We propose Remembering Transformer, inspired by the brain's Complementary Learning Systems (CLS), to tackle this issue. Remembering Transformer employs a mixture-of-adapters and a generative model-based routing mechanism to alleviate CF by dynamically routing task data to relevant adapters. Our approach demonstrated a new SOTA perf…

Spin and charge dynamics of doped one-dimensional Mott insulators
Takami Tohyama, Hiroki Maeda, Kenji Tsutsui, Shigetoshi Sota, Seiji Yunoki
https://arxiv.org/abs/2404.11412

Spin and charge dynamics of doped one-dimensional Mott insulators
Recent angle-resolved photoemission spectroscopy (ARPES) for a newly discovered doped one-dimensional (1D) Mott insulator Ba$_{2-x}$Sr$_x$CuO$_{3+δ}$ proposed the presence of attractive charge interactions between neighboring sites if an 1D Hubbard model is employed to describe the material. On the other hand, long-range repulsive charge interactions were proposed to be crucial for understanding optical excitations of undoped 1D Mott insulators. Motivated by these contrasting proposals, we per…

Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News Detection
Sheetal Harris, Jinshuo Liu, Hassan Jalil Hadi, Yue Cao
https://arxiv.org/abs/2403.14037 h…

Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News Detection
Misinformation can seriously impact society, affecting anything from public opinion to institutional confidence and the political horizon of a state. Fake News (FN) proliferation on online websites and Online Social Networks (OSNs) has increased profusely. Various fact-checking websites include news in English and barely provide information about FN in regional languages. Thus the Urdu FN purveyors cannot be discerned using factchecking portals. SOTA approaches for Fake News Detection (FND) cou…

FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
Soumen Basu, Mayuna Gupta, Chetan Madan, Pankaj Gupta, Chetan Arora
https://arxiv.org/abs/2403.08848

FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
In recent years, automated Gallbladder Cancer (GBC) detection has gained the attention of researchers. Current state-of-the-art (SOTA) methodologies relying on ultrasound sonography (US) images exhibit limited generalization, emphasizing the need for transformative approaches. We observe that individual US frames may lack sufficient information to capture disease manifestation. This study advocates for a paradigm shift towards video-based GBC detection, leveraging the inherent advantages of spa…

Chondrule Destruction via Dust Collisions in Shock Waves
Yuji Matsumoto, Kosuke Kurosawa, Sota Arakawa
https://arxiv.org/abs/2404.05954 https://

Chondrule Destruction via Dust Collisions in Shock Waves
A leading candidate for the heating source of chondrules and igneous rims is shock waves. This mechanism generates high relative velocities between chondrules and dust particles. We have investigated the possibility of the chondrule destruction in collisions with dust particles behind a shock wave using a semianalytical treatment. We find that the chondrules are destroyed during melting in collisions. We derive the conditions for the destruction of chondrules and show that the typical size of t…

EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, Mohit Bansal
https://arxiv.org/abs/2403.12014

EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
Recent SOTA approaches for embodied learning via interaction directly employ large language models (LLMs) as agents to determine the next steps in an environment. Due to their world knowledge and reasoning capabilities, LLM agents achieve stronger performance than previous smaller agents based on reinforcement learning (RL); however, frequently calling LLMs is slow and expensive. Instead of directly employing LLMs as agents, can we use LLMs' reasoning capabilities to adaptively create training …

#Ukraina #EU #USA #Kiina

Maailma liikkeessä ja vanha valta horjuu | Maailmanpolitiikan arkipäivää
Venäjän suurhyökkäys Ukrainassa alkoi kaksi vuotta sitten. Sota on muuttanut maailmaa entistä epävakaammaksi. Lännen valta horjuu. Maailman maat etsivät liittolaisuuksia ilman vanhoja sitoumuksia ja riippuvuuksia. Yhdysvaltain tulevat presidentinvaalit väijyvät kaiken taustalla - muuttuko Yhdysvaltain ja Euroopan Nato-suhde. Maailma liikkeessä ja vanha valta horjuu -ohjelma pohtii maailman tilaa. Toimittajana on Sampo Vaarakallio ja äänitarkkailijana Juha Hjelm.

Chondrule Destruction via Dust Collisions in Shock Waves
Yuji Matsumoto, Kosuke Kurosawa, Sota Arakawa
https://arxiv.org/abs/2404.05954 https://

Chondrule Destruction via Dust Collisions in Shock Waves
A leading candidate for the heating source of chondrules and igneous rims is shock waves. This mechanism generates high relative velocities between chondrules and dust particles. We have investigated the possibility of the chondrule destruction in collisions with dust particles behind a shock wave using a semianalytical treatment. We find that the chondrules are destroyed during melting in collisions. We derive the conditions for the destruction of chondrules and show that the typical size of t…