Papers
Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data
Shiping Yang, Jie Wu, Wenbiao Ding et al.
Ranking Reasoning LLMs under Test-Time Scaling
Mohsen Hariri, Michael Hinczewski, Jing Ma et al.
NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution Policy
Jiye Wang, Yu Wang, Jianbin Li et al.
Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization
Yu Fu, Chen Luo, Josef Valvoda et al.
AdabNER: Arabic Digital Archive Books with Nested Entity Recognition
Aya Mourad, Mustafa Jarrar
Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
Ming Li, Pei Chen, Zhenhao Zhang et al.
LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation
Caiqi Zhang, Xiaochen Zhu, Chengzu Li et al.
MARS2: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation
Pengfei Li, Shijie Wang, Fangyuan Li et al.
Tailored Primitive Initialization is the Secret Key to Reinforcement Learning
Yihang Yao, Guangtao Zeng, Raina Wu et al.
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients
Ming Li, Yanhong Li, Ziyue Li et al.
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.