Papers
Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification
Qisheng Hu, Quanyu Long, Wenya Wang
Thinking beyond the anthropomorphic paradigm benefits LLM research
Lujain Ibrahim, Myra Cheng
Splits! Flexible Sociocultural Linguistic Investigation at Scale
Eylon Caplan, Tania Chakraborty, Dan Goldwasser
SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes
Wenxuan Xie, Yaxun Dai, Wenhao Jiang
Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning
Yanrui Du, Fenglei Fan, Sendong Zhao et al.
MMSearch-R1: Incentivizing LMMs to Search
Jinming Wu, Zihao Deng, Wei Li et al.
MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training
Biao Wu, Yutong Xie, Zeyu Zhang et al.
Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
Yuhang Zhou, Mingrui Zhang, Ke Li et al.
Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation
Tianyi Hu, Andrea Morales-Garzón, Jingyi Zheng et al.
DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing
Yage Zhang, Yukun Jiang, Michael Backes et al.
Identifying Bias in Machine-generated Text Detection
Kevin Stowe, Svetlana Afanaseva, Rodolfo C. Raimundo et al.
CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
Jingwei Shi, Xinxiang Yin, Jing Huang et al.
GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
Xi Chen, Chuan Qin, Jinpeng Li et al.
TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models
Yuxuan Gu, Wuyang Zhou, Giorgos Iacovides et al.
MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation
Mehul Agarwal, Aditya Aggarwal, Arnav Goel et al.
Think in Sentences: Explicit Sentence Boundaries Enhance Language Model’s Capabilities
Zhichen Liu, Yongyuan Li, Yang Xu
ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas
CARES: Context-Aware Resolution Selector for VLMs
Moshe Kimhi, Nimrod Shabtay, Raja Giryes et al.
From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization
Xinjie Chen, Minpeng Liao, Guoxin Chen et al.
EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning
Jiawei Liu, Qisi Chen, Jianshu Zhang et al.
Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders
Xiangchen Song, Aashiq Muhamed, Yujia Zheng et al.
ReContraster: Making Your Posters Stand Out with Regional Contrast
Peixuan Zhang, Zijian Jia, Ziqi Cai et al.
Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation
Xi Xiao, Chenrui Ma, Yunbei Zhang et al.
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Yanxiao Zhao, Yaqian Li, Zi-Hao Bo et al.
Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence
Jinseok Chung, Minkyoung Song, Hyunji Jung et al.