Papers
Learning to Ask: When LLM Agents Meet Unclear Instruction
Wenxuan Wang, Shi Juluan, Zixuan Ling et al.
TIDES: Technical Information Discovery and Extraction System
Jihee Kim, Subeen Park, Hakyung Lee et al.
CREPE: Rapid Chest X-ray Report Evaluation by Predicting Multi-category Error Counts
Gihun Cho, Seunghyun Jang, Hanbin Ko et al.
Puzzled by Puzzles: When Vision-Language Models Can’t Take a Hint
Heekyung Lee, Jiaxin Ge, Tsung-Han Wu et al.
RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations
Haihua Xie, Yinzhu Cheng, Yaqing Wang et al.
Memorization or Reasoning? Exploring the Idiom Understanding of LLMs
Jisu Kim, Youngwoo Shin, Uiji Hwang et al.
Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon
Nurit Cohen Inger, Yehonatan Elisha, Bracha Shapira et al.
Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers
Yukun Zhang, Xueqing Zhou
FuseChat: Knowledge Fusion of Chat Models
Fanqi Wan, Longguang Zhong, Ziyi Yang et al.
s3: You Don’t Need That Much Data to Train a Search Agent via RL
Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin et al.
Look Beyond Feeling: Unveiling Latent Needs from Implicit Expressions for Proactive Emotional Support
Xing Fu, Haozhen Li, Bichen Wang et al.
Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs
Abhinav Arabelly, Jagrut Nemade, Robert D Nowak et al.
Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens
Sohee Kim, Soohyun Ryu, Joonhyung Park et al.
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
Seongmin Lee, Aeree Cho, Grace C. Kim et al.
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
Jianguo Zhang, Thai Hoang, Ming Zhu et al.
AMACE: Automatic Multi-Agent Chart Evolution for Iteratively Tailored Chart Generation
Hyuk Namgoong, Jeesu Jung, Hyeonseok Kang et al.
Semantic Inversion, Identical Replies: Revisiting Negation Blindness in Large Language Models
Jinsung Kim, Seonmin Koo, Heuiseok Lim
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
Mihir Parmar, Palash Goyal, Xin Liu et al.
zFLoRA: Zero-Latency Fused Low-Rank Adapters
Dhananjaya Gowda, Seoha Song, Harshith Goka et al.
Reinforcement Learning for Large Language Models via Group Preference Reward Shaping
Huaisheng Zhu, Siyuan Xu, Hangfan Zhang et al.
Supervised Attention Mechanism for Low-quality Multimodal Data
Sijie Mai, Shiqin Han, Haifeng Hu
Nullspace Disentanglement for Red Teaming Language Models
Yi Han, Yuanxing Liu, Weinan Zhang et al.
“I’ve Decided to Leak”: Probing Internals Behind Prompt Leakage Intents
Jianshuo Dong, Yutong Zhang, Liu Yan et al.
EnAnchored-X2X: English-Anchored Optimization for Many-to-Many Translation
Sen Yang, Yu Bao, Yu Lu et al.
MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models
Siyu Yan, Long Zeng, Xuecheng Wu et al.