Papers
DSCodeBench: A Realistic Benchmark for Data Science Code Generation
Shuyin Ouyang, Dong HUANG, Jingwen Guo et al.
SERL: Self-Examining Reinforcement Learning on Open-Domain
Weixuan Ou, Yanzhao Zheng, Shuoshuo Sun et al.
GateRA: Token-aware Modulation for Parameter-Efficient Fine-tuning
Jie Ou, Shuaihong Jiang, Yingjun Du et al.
GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning
Wolfgang Otto, Lu Gan, Sharmila Upadhyaya et al.
Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning
Jungsuk Oh, Jay-Yoon Lee
TokenPowerBench: Benchmarking the Power Consumption of LLM Inference
Chenxu Niu, Wei Zhang, Jie Li et al.
Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
Yunfeng Ning, Mayi Xu, Jintao Wen et al.
GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging
Ziyi Ni, Huacan Wang, Shuo Zhang et al.
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
Vy Nguyen, Ziqi Xu, Jeffrey Chan et al.
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
Manh Nguyen, Sunil Gupta, Hung Le
Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting
Yunhun Nam, Jaehyung Kim, Jongheon Jeong
A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis
Wenxuan Mu, Jinzhong Ning, Di Zhao et al.
Hearing More with Less: Multi-Modal Retrieval-and-Selection Augmented Conversational LLM-Based ASR
Bingshen Mu, Hexin Liu, Hongfei Xue et al.
Textual Self-Attention Network: Test-Time Preference Optimization Through Textual Gradient-Based Attention
Shibing Mo, Haoyang Ruan, Kai Wu et al.
QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
Sahil Mishra, Avi Patni, Niladri Chatterjee et al.
MindVote: When AI Meets the Wild West of Social Media Opinion
Xutao Mao, Ezra Xuanru Tao, Leyao Wang
BhashaKritika: Building Synthetic Pretraining Data at Scale for Indic Languages
Guduru Manoj, Neel Prabhanjan Rachamalla, Ashish Kulkarni et al.
Confidence Estimation for Text-to-SQL in Large Language Models
Sepideh Entezari Maleki, Mohammadreza Pourreza, Davood Rafiei
RefRea: Reference-Guided Reasoning with Meta-Cognition for Accurate Language Model Agents
Yuxiang Mai, Qiyue Yin, Wancheng Ni et al.
Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models
Saaduddin Mahmud, Mason Nakamura, Kyle Hollins Wray et al.
QueryAligner: Customizing User Query to Match LLMs Preferences for Better Intent Recognition
Yunlong Ma, Bo Wang, Yihong Tang et al.
Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing
Shichao Ma, Yunhe Guo, Jiahao Su et al.
Large Language Models Struggle with Unreasonability in Math Problems
Jingyuan Ma, Damai Dai, Zihang Yuan et al.
ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models
Huipeng Ma, Luan Zhang, Dandan Song et al.
Cueing Without Gapping: Cuer-Independent Cued Speech Recognition Powered by Cross-Cuer Invariant Modeling
Fengji Ma, Chenxing Li, Li Liu