Papers
ChemReason-Bench: Benchmarking Large Language Models for Procedural Reasoning in Experimental Chemistry
Jinwei Zhang, Xucheng Liang, Yu Zhang et al.
Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal
Sathvik Nair, Byung-Doh Oh
PIArena: A Platform for Prompt Injection Evaluation
Runpeng Geng, Chenlong Yin, Yanting Wang et al.
Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models
Mehrzad Samadi, Aleksander Ficek, Sean Narenthiran et al.
RedCoder: Automated Multi-Turn Red Teaming for Code LLMs
Wenjie Jacky Mo, Qin Liu, Xiaofei Wen et al.
SSSD: Simply-Scalable Speculative Decoding
Michele Marzollo, Jiawei Zhuang, Niklas Roemer et al.
LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model
Wei Shao, Zheng Lingchao, Pengyu Wang et al.
Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning
Bowen Ding, Yuhan Chen, Jiayang Lyu et al.
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett et al.
Neuron-Aware Active Few-Shot Learning for LLMs
Zhuowei Chen, Liwei Chen, Christian Schunn et al.
Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning
Hengwei Liu, Haoyuan Ma, Qingqing Lyu et al.
Behavior Knowledge Merge in Reinforced Agentic Models
Xiangchi Yuan, Dachuan Shi, Chunhui Zhang et al.
The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations
Pierre-Antoine Lequeu, Léo Labat, Laurène Cave et al.
SRA: Span Representation Alignment for Large Language Model Distillation
Quoc Phong Dao, Hoang Son Nguyen, Pham Khanh Chi et al.
Discourse Realization of Generics in Human and LLM-generated Texts
Søren Kirkegaard Fomsgaard, Martial Pastor, Gaël Dias et al.
Synthetic Data Generation for Training Diversified Commonsense Reasoning Models
Tianhui Zhang, Bei Peng, Danushka Bollegala
RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic Evaluation
Bingxian Wu, Yu Zhang, Zonghao Guo et al.
Multimodal Large Language Models for Multi-Subject In-Context Image Generation
Yucheng Zhou, Dubing Chen, Huan Zheng et al.
Enhanced Reasoning for Biomedical Document-Level Relation Extraction via a Novel Cascade Language Model Framework
Haohua Song, Wenhao Gu, Zhijing Li et al.
Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning
Zekai Lin, Chao Xue, Di Liang et al.
A Multi-Agent Framework for High-Interaction Terminal Simulation
Kai Wei, Yuwen Cui, Kehan Shen et al.
Diagnosing Spatial Consistency across Perspectives and Viewpoints in Large Vision-Language Models
Yoonji Kim, Jieun Kim, Yujin Jeong et al.
Schoenfeld’s Anatomy of Mathematical Reasoning by Language Models
Ming Li, Chenrui Fan, Yize Cheng et al.
SimPBL: A Multi-Agent Framework for Project-Based Learning
Daniel Zhang-Li, Joy Jia Yin Lim, Binglin Liu et al.
Quantifying and Understanding Uncertainty in Large Reasoning Models
Yangyi Li, Chenxu Zhao, Mengdi Huai