Papers
R-PRM: Reasoning-Driven Process Reward Modeling
Shuaijie She, Junxiao Liu, Yifeng Liu et al.
AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning
Yujie Feng, Jian Li, Xiaoyu Dong et al.
A Generative Pre-Trained Language Model for Channel Prediction in Wireless Communications Systems
Bo Lin, Huanming Zhang, Yuhua Jiang et al.
GeoEdit: Geometric Knowledge Editing for Large Language Models
Yujie Feng, Li-Ming Zhan, Zexin Lu et al.
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana et al.
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
Minglai Yang, Ethan Huang, Liang Zhang et al.
LightThinker: Thinking Step-by-Step Compression
Jintian Zhang, Yuqi Zhu, Mengshu Sun et al.
Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents
Yejin Yoon, Yuri Son, Namyoung So et al.
CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement
Jiyuan Liu, Jielin Song, Yunhe Pang et al.
Neural Topic Modeling via Contextual and Graph Information Fusion
Jiyuan Liu, Jiaxing Yan, Chunjiang Zhu et al.
Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility
Brendan Murphy, Dillon Bowen, Shahrad Mohammadzadeh et al.
Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values
Hongbo Zhang, Han Cui, Guangsheng Bao et al.
Answering Narrative-Driven Recommendation Queries via a Retrieve–Rank Paradigm and the OCG-Agent
Yunxiao Shi, Haoning Shang, Xing Zi et al.
Graceful Forgetting in Generative Language Models
Chunyang Jiang, Chi-Min Chan, Yiyang Cai et al.
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs
Dingkun Zhang, Shuhan Qi, Xinyu Xiao et al.
Syntax-Aware Retrieval Augmentation for Neural Symbolic Regression
Canmiao Zhou, Han Huang
EvolveSearch: An Iterative Self-Evolving Search Agent
Ding-Chu Zhang, Yida Zhao, Jialong Wu et al.
SimVBG: Simulating Individual Values by Backstory Generation
Bangde Du, Ziyi Ye, Zhijing Wu et al.
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories
Mohammad Beigi, Ying Shen, Parshin Shojaee et al.
From A and B to A+B: Can Large Language Models Solve Compositional Math Problems?
Xisheng Xiao, Hanlin Zhao
Coarse-to-Fine Grounded Memory for LLM Agent Planning
Wei Yang, Jinwei Xiao, Hongming Zhang et al.
Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification
Weiyi Yang, Richong Zhang, Junfan Chen et al.
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
Nakyeong Yang, Minsung Kim, Seunghyun Yoon et al.
SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages?
Senyu Li, Jiayi Wang, Felermino D. M. A. Ali et al.
CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability
Han Peng, Jinhao Jiang, Zican Dong et al.