Papers
Refining and Reusing Annotation Guidelines for LLM Annotation
Kon Woo Kim, Jin-Dong Kim, Akiko Aizawa
Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
Eric Hanchen Jiang, Weixuan Ou, Run Liu et al.
AdaDPI: Document-level Translation Adaptive Agent via Dynamic Parametric Internalization
Hong Ren, Liting Deng, Shaolin Zhu et al.
FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation
Jinhee Jang, Juhwan Choi, Dongjin Lee et al.
Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives
Changgeon Ko, Jisu Shin, Hoyun Song et al.
StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason
Kaiyi Zhang, Ang Lv, Jinpeng Li et al.
Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient Organization
Jia Liu, Jiaxin Luo, Weiwen Xu et al.
Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation
Jiawei Zhou, Chi Zhang, Xiang Feng et al.
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
Zhenpeng Su, Leiyu Pan, Minxuan Lv et al.
Can Compact Language Models Search Like Agents? Distillation-Guided Policy Optimization for Preserving Agentic RAG Capabilities
Rikuto Kotoge, Mai Nishimura, Jiaxin Ma
Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards
Tianhao Niu, Ziyu Han, Qiguang Chen et al.
MARD: Module-Aware Reasoning Distillation for Language Models with Adaptive Supervision
Wenqi Yang, Jianjun Li, Zhibo Zhang et al.
Zero-Shot Detection of LLM-Generated Text using Temperature Sensitivity
Shixuan Ma, Jiahao Li, Zhendong Mao et al.
Execution as Verification: Fine-Grained Self-Correcting Reasoning for Complex KBQA
Minghan Zhang, Zhen Yang, Haodong Zou et al.
River-LLM: Large Language Model Seamless Exit Based on KV Share
Yingtao Shen, An Zou
R3: End-to-End Reasoning-based Planning for Multi-step Retrosynthesis via Reinforcement Learning
YiFei Wang, Qizhi Pei, Jiangtao Feng et al.
Efficient Process Reward Modeling via Contrastive Mutual Information
Nakyung Lee, Sangwoo Hong, Jungwoo Lee
Impatient Users Confuse AI Agents: High-fidelity Simulations of Human Traits for Testing Agents
Muyu He, Anand Kumar, Soumyadeep Bakshi et al.
DiVE: Decoupling Intra-layer Visual Evidence for Mitigating Hallucinations in Large Vision-Language Models
Xinwei Li, Li Lin, Hui Jiao et al.
Beyond Static Benchmarks: Synthesizing Harmful Content via Persona-based Simulation for Robust Evaluation
Huije Lee, Jisu Shin, Hoyun Song et al.
TH-RAG : Topic-Based Hierarchical Knowledge Graphs for Robust Multi-hop Reasoning in Graph-based RAG Systems
JungHyoun Kim, Soohyeong Kim, Seok Jun Hwang et al.
Characterizing the Expressivity of Local Attention in Transformers
Jiaoda Li, Ryan Cotterell
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
Zerui Chen, Qinggang Zhang, Zhishang Xiang et al.
From TDMA to CDMA: A Multi-bit Watermark for Diffusion Language Models
Baizhou Huang, Xiaojun Wan
ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution
Shouzheng Huang, Meishan Zhang, Baotian Hu et al.