Tootfinder

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/2]:
- Learning Evaluation Models from Large Language Models for Sequence Generation
Wang, Zhou, Chang, Liu, Zhang, Du, Xiao, Zhang, Zhu
https://arxiv.org/abs/2308.04386 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/110858347619335772
- MockLLM: A Multi-Agent Behavior Collaboration Framework for Online Job Seeking and Recruiting
Hongda Sun, Hongzhan Lin, Haiyu Yan, Yang Song, Xin Gao, Rui Yan
https://arxiv.org/abs/2405.18113
- Capturing Style in Author and Document Representation
Enzo Terreau, Antoine Gourru, Julien Velcin
https://arxiv.org/abs/2407.13358 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/112811825734411424
- Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Perso...
Alireza Salemi, Hamed Zamani
https://arxiv.org/abs/2409.09510
- Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
Alireza Salemi, Hamed Zamani
https://arxiv.org/abs/2410.09942 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/113311129163471763
- A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns
Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
https://arxiv.org/abs/2410.16155 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/113350851853547191
- SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
Xiao Xia, Dan Zhang, Zibo Liao, Zhenyu Hou, Tianrui Sun, Jing Li, Ling Fu, Yuxiao Dong
https://arxiv.org/abs/2410.21909 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/113395761808224082
- Prompting with Phonemes: Enhancing LLMs' Multilinguality for Non-Latin Script Languages
Nguyen, Mahajan, Yadav, Salazar, Yu, Hashemi, Maheshwary
https://arxiv.org/abs/2411.02398 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/113429970773753104
- CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement
Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan Rossi, Yixuan Li, Saayan Mitra
https://arxiv.org/abs/2411.05199 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/113463056002627712
- OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50 Languages
Chester Palen-Michel, Maxwell Pickering, Maya Kruse, Jonne S\"alev\"a, Constantine Lignos
https://arxiv.org/abs/2412.09587 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/113644218384986889
- Do Large Language Models Advocate for Inferentialism?
Yuzuki Arai, Sho Tsugawa
https://arxiv.org/abs/2412.14501 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/113683825673436379
- Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Liao, Xu, Dong, Li, Monz, Savarese, Sahoo, Xiong
https://arxiv.org/abs/2501.19324 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/113938656684817759
- Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
Borkar, Jagielski, Lee, Mireshghallah, Smith, Choquette-Choo
https://arxiv.org/abs/2502.15680 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/114057719598830407
- Evaluating Large Language Models for Automated Clinical Abstraction in Pulmonary Embolism Registr...
Alwakeel, Buck, Martin, Aslam, Rajagopal, Pei, Podgoreanu, Lindsell, Wong
https://arxiv.org/abs/2503.21004 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/114238829015127676
- LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey
Zou, Huang, Wu, Chen, Miao, Nguyen, Zhou, Zhang, Fang, He, Li, Li, Jiang, Liu, Yu
https://arxiv.org/abs/2505.00753 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/114453994824459151
- Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMs
Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, Xiang Wang
https://arxiv.org/abs/2505.11277 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/114533276160074683
- A3 : an Analytical Low-Rank Approximation Framework for Attention
Wong, Zhang, Cao, Gimenes, Constantinides, Luk, Zhao
https://arxiv.org/abs/2505.12942 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/114539100871221308
- Thinkless: LLM Learns When to Think
Gongfan Fang, Xinyin Ma, Xinchao Wang
https://arxiv.org/abs/2505.13379 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/114539110987186123
- Explainability of Large Language Models using SMILE: Statistical Model-agnostic Interpretability ...
Zeinab Dehghani, Mohammed Naveed Akram, Koorosh Aslansefat, Adil Khan
https://arxiv.org/abs/2505.21657 initial toot: https://mastoxiv.page/@arXiv_csCL_bot/114589890676312038
toXiv_bot_toot

@… and partners are launching the "Security Project for QGIS": a mutual effort to increase @… cybersecurity
Join to learn more:

Datenschutzgutachten zum Praxisregister Schmerz offenbart fragwürdige Praktiken
Das Netzwerk Datenschutzexpertise übt scharfe Kritik am Praxisregister Schmerz. Daten würden intransparent fragwürdigen Auswertungen der Pharmaindustrie dienen.

Projektoren von Epson kriegen HomeKit und AirPlay 2
Nutzer verschiedener Epson-Projektormodelle können die Geräte nun per Update zu Apples Ökosystemen kompatibel machen.
https://www.

Hey @…, how’s this for a CC signal for AI, you clowns?
🖕
https://creativecommons.org/2025/06/25

Introducing CC Signals: A New Social Contract for the Age of AI - Creative Commons
CC Signals © 2025 by Creative Commons is licensed under CC BY 4.0 Creative Commons (CC) today announces the public kickoff of the CC signals project, a new preference signals framework designed to increase reciprocity and sustain a creative commons in the age of AI. The development of CC signals represents a major step forward…

Strategische Umsetzung beginnt: IT-Planungsrat beschließt erste Projektvorhaben der föderalen Digitalstrategie
https://www.it-planungsrat.de/aktuelles/details/strategisc…

Projection Cascades of models of log del Pezzo surfaces
Muhammad Imran Qureshi
https://arxiv.org/abs/2506.19970 https://arxiv.org/pdf…

Projection Cascades of models of log del Pezzo surfaces
We introduce the notion of type-I projection cascade for a biregular model (infinite series) of log del Pezzo surfaces. We study the existence of type-I projection cascades for known classes of models of log del Pezzo surfaces, such that their images under their anti-canonical embeddings in some weighted projective space, can be described as codimension 4 and codimension 3 varieties. We obtain two cascades of length three and four cascades of length two, where each projection gives rise to a we…

Ever wondered how Kubernetes runs on a tractor? At Berlin Buzzwords 2025, join Wieneke Keller & Sebastian Lenartowicz from Aurea Imaging to explore their innovative AgTech journey! Discover how they built an edge device with Python microservices and K3s for precision farming, tackling unique rural challenges. 
Learn more:

Precision farming powered by K3s and TensorRT
Aurea Imaging is an AgTech scaleup focusing on precision farming in orchards. By retrofitting our TreeScout sensor package to their tractors, farmers are able to collect data about their orchard down to the tree level as they perform other tasks. Using onboard stereo cameras, the tractor’s high-precision GPS, a machine-vision pipeline running in real time on the device, and cloud-based analytics, this data is turned into maps used by other agricultural machines that enable the grower to utili…

Our urban #MobilityAnalytics project EMERALDS hosts its next webinar tomorrow:
🗓️ 27 June | ⏰ 14:30 CEST | 📍Online
How The Hague is using data to manage urban risks.
Register 👉

New 3 year #phdPosition in our department on building Trustworthy AI
#AI

PhD Thesis "Scalable Process Patterns and Decision Frameworks for Trustworthy AI Engineering"