Papers
GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models
Zhaohan Zhang, Ziquan Liu, Ioannis Patras
MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring
Tengchao Yang, Sichen Guo, Mengzhao Jia et al.
Learning What to Ignore: Mitigating Negative Transfer in Medical Knowledge Fusion via Clinical Task-Adaptive Selection
Xinyan Deng, Shoubin Dong, Xiaorou Zheng
BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook
Hao Gu, Lujun Li, Hao Wang et al.
PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCR
Yao Yao, Manwen Liao, Weitian Zhang et al.
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
Minsung Kim, Dong-Kyum Kim, Jea Kwon et al.
From Synthesis to Clinical Assistance: A Strategy-Aware Agent Framework for Autism Intervention based on Real Clinical Dataset
Junhong Lai, Shuzhong Lai, Yanhao Yu et al.
Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward Modeling
Jiaxuan Wang, Yulan Hu, Wenjin Yang et al.
Automated Creativity Evaluation of Language Models Across Open-Ended Tasks
Tan Min Sen, Zachary Choy Kit Chun, Syed Ali Redha Alsagoff et al.
PEAP: Proactive Embodied Action Sequence Planning with Joint Understanding of Vision and Audio Perception
Tianwei Lan, Jiaqi Wu, Zeming Liu et al.
BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning
Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora et al.
MUR: Momentum Uncertainty guided Reasoning for Large Language Models
Hang Yan, Fangzhi Xu, Rongman Xu et al.
FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean
Jordan Meadows, Lan Zhang, Andre Freitas
Make LLMs See Like Investigators, Not Just Think More: The Role of Structured Analysis in Investigative Reasoning
Jaewook Lee, Myeong-Cheol Kang, Jong-hun Shin
CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution
Shidong Yang, Ziyu Ma, Tongwen Huang et al.
DVCQR: Dual-View Conversational Query Rewriting with Stage-wise Reinforcement Learning
Chenyi Li, Xinhui Tu, Zaixiang Wang
MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits
Yixin Xiang, Yunshan Ma, Xiaoyu Du et al.
PROMPRINT: Prompt Fingerprinting via First-Token Response for LLM App Cloning Detection
Jungmin Lee, Peizhuo Lv, Yeonjoon Lee
Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions
Minda Zhao, Yilun Du, Mengyu Wang
CamoQuery: Language-Guided Reasoning Camouflaged Object Segmentation
Tianxin Han, Qing Dong, Xingwei Wang et al.
Nested Browser-Use Learning for Agentic Information Seeking
Baixuan Li, Jialong Wu, Wenbiao Yin et al.
The Proxy Presumption: From Semantic Embeddings to Valid Social Measures
Baishi Li, Ta Yu, Kelvin J.l. Koa et al.
Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models
Wei Wu, Liyi Chen, Congxi Xiao et al.
SADA: Bridging In-Context Learning and Fine-Tuning via State-Aligned Distillation Adapters
Wenhao Gao, Tianlong Wang, Wei Jia et al.
A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
Zhiyin Yu, Yuchen Mou, Juncheng Yan et al.