Papers
Recognizing Limits: Investigating Infeasibility in Large Language Models
Wenbo Zhang, Zihang Xu, Hengrui Cai
RecombiText: Compositional Data Augmentation for Enhancing LLM Pre-Training Datasets in Low-Resource Scenarios
Alexander Tampier, Lukas Thoma, Loris Schoenegger et al.
Recon, Answer, Verify: Agents in Search of Truth
Satyam Shukla, Himanshu Dutta, Pushpak Bhattacharyya
Recontextualizing Revitalization: A Mixed Media Approach to Reviving the Nüshu Language
Ivory Yang, Xiaobo Guo, Yuxin Wang et al.
Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation
Devleena Das, Rajeev Patwari, Ashish Sirasao
ReCoVeR the Target Language: Language Steering without Sacrificing Task Performance
Hannah Sterz, Fabian David Schmidt, Goran Glavaš et al.
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
Grgur Kovač, Jérémy Perez, Rémy Portelas et al.
ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
Zhensheng Jin, Xinze Li, Yifan Ji et al.
ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media
Aakash Kumar Agarwal, Saprativa Bhattacharjee, Mauli Rastogi et al.
RedHerring Attack: Testing the Reliability of Attack Detection
Jonathan Rusert
RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services
Fei Zhao, Chonggang Lu, Wangyue et al.
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
Jiahui Li, Lin Li, Tai-Wei Chang et al.
ReEvalMed: Rethinking Medical Report Evaluation by Aligning Metrics with Real-World Clinical Judgment
Ruochen Li, Jun Li, Bailiang Jian et al.
Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form QA
Sher Badshah, Hassan Sajjad
Referential ambiguity and clarification requests: comparing human and LLM behaviour
Chris Madge, Matthew Purver, Massimo Poesio
REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting
Nannan Huang, Haytham M. Fayek, Xiuzhen Zhang
Refined Assessment for Translation Evaluation: Rethinking Machine Translation Evaluation in the Era of Human-Level Systems
Dmitry Popov, Vladislav Negodin, Ekaterina Enikeeva et al.
Refining Attention for Explainable and Noise-Robust Fact-Checking with Transformers
Jean-Flavien Bussotti, Paolo Papotti
Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization
Manato Tajiri, Michimasa Inaba
ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
Jeonghye Kim, Sojeong Rhee, Minbeom Kim et al.
Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction
Fatemeh Haji, Mazal Bethany, Cho-Yu Jason Chiang et al.
Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
Frederic Kirstein, Sonu Kumar, Terry Ruas et al.
Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models
Yi Feng, Jiaqi Wang, Wenxuan Zhang et al.
Refusal-Aware Red Teaming: Exposing Inconsistency in Safety Evaluations
Yongkang Chen, Xiaohu Du, Xiaotian Zou et al.