Papers
Steering Pretrained Drafters During Speculative Decoding
Frédéric Berdoz, Peer Rheinboldt, Roger Wattenhofer
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim et al.
Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model
Rong Bao, Bo Wang, Xiao Wang et al.
IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization
Yuzhuo Bai, Shitong Duan, Muhua Huang et al.
Identifying and Analyzing Performance-Critical Tokens in Large Language Models
Yu Bai, Heyan Huang, Cesare Spinoso-Di Piano et al.
Towards Effective Code-Integrated Reasoning
Fei Bai, Yingqian Min, Beichen Zhang et al.
HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarios
Bingsong Bai, Yizhong Geng, Fengping Wang et al.
Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning
Thong Bach, Dung Nguyen, Thao Minh Le et al.
ViDia2Std: A Parallel Corpus and Methods for Low-Resource Vietnamese Dialect-to-Standard Translation
Khoa Anh Ta, Nguyen Van Dinh, Kiet Van Nguyen
MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes
Siddhant Agarwal, Adya Dhuler, Polly Ruhnke et al.
Where Norms and References Collide: Evaluating LLMs on Normative Reasoning
Mitchell Abrams, Kaveh Eskandari Miandoab, Felix Gervits et al.
DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors
Tazeek Bin Abdur Rakib, Ambuj Mehrish, Lay-Ki Soon et al.
LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning
Liutao, Xutao Mao, Dixuan Zhang et al.
More than Irrational: Modeling Belief-Biased Agents
Yifan Zhu, Sammie Katt, Samuel Kaski
Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation
Yuxiang Zhou, Jichang Li, Yanhao Zhang et al.
A²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators
Mingming Zhao, Xiaokang Wei, Yuanqi Shao et al.
Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning
Wenchuan Zhang, Jingru Guo, Hengzhe Zhang et al.
Dynamic Agent Grouping ECBS: Scaling Windowed Multi-Agent Path Finding with Completeness Guarantees
Tiannan Zhang, Rishi Veerapaneni, Shao-Hung Chan et al.
RetouchAgent: Towards Interactive and Explainable Image Retouching with MLLM Agents
Shuo Zhang, Xinyu Yang
SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
Ruijia Zhang, Xinyan Zhao, Ruixiang Wang et al.
Key Decision-Makers in Multi-Agent Debates: Who Holds the Power?
Qian Zhang, Jinyi Liu, Yan Zheng et al.
VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning
Qian Zhang, Zhuo Sun, Yao Zhang et al.
Enhancing PIBT via Multi-Action Operations
Egor Yukhnevich, Anton Andreychuk
MPAS: Breaking Sequential Constraints of Multi-Agent Communication Topologies via Individual-Epistemic Message Propagation
Jingxuan Yu, Ju Jia, Simeng Qin et al.