Papers
DCTR: Dual-Constraint Subgraph Optimization for Knowledge Graph-based Retrieval-Augmented Generation
Yukun Cao, Zirui Xu, Dongyang Li et al.
TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models
Yi Cao, Weijie Shi, Wei-Jie Xu et al.
On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models
Ding Cao, Yuchen Cai, Yuqing Huang et al.
Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation
Boxi Cao, Ruotong Pan, Hongyu Lin et al.
ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking
Yuzheng Cai, Yanzhao Zhang, Dingkun Long et al.
RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability
Kaitong Cai, Jusheng Zhang, Yijia Fan et al.
Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models
Yixin Bu, Guanyun Zou, Renzhi Wang et al.
Do LLMs Really Struggle at NL-FOL Translation? Revealing Their Strengths via a Novel Benchmarking Strategy
Andrea Brunello, Luca Geatti, Michele Mignani et al.
OptiHive: Ensemble Selection for LLM-Based Optimization via Statistical Modeling
Maxime Bouscary, Saurabh Amin
JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation
Zhenyu Bi, Gaurav Srivastava, Yang Li et al.
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.