Papers
E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial Intelligence
Junbo Qi, Yi Zhang, Hanchu Ni et al.
Afri-MCQA: Multimodal Cultural Question Answering for African Languages
Atnafu Lambebo Tonja, Srija Anand, Emilio Villa-Cueva et al.
TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference
Nishanth Sridhar Nakshatri, Eylon Caplan, Rajkumar Pujari et al.
UrbanGeoEval: A City-Scale Benchmark for Evaluating Large Language Models in Geospatial Reasoning
Mutian Bao, Qiuyi Qi, Tian Liang et al.
From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan
Lei Yang, Leiyu Pan, Bojian Xiong et al.
Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric Study
Kensuke Okada, Yui Furukawa, Kyosuke Bunji
AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters
Hao Luo, Xiao Yan, Xinyan Li et al.
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
Changyu Liu, Yiyang Liu, Taowen Wang et al.
Learning Uncertainty from Sequential Internal Dispersion in Large Language Models
Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen et al.
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models
Woody Haosheng Gan, Deqing Fu, Julian Asilis et al.
Assessing the Belief Consistency of Large Language Models on the Logical Conversation Process
Tomoki Tsujimura, Matīss Rikters, Masaki Asada et al.
GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMs
Weidong Tang, Jierui Li, Yueling Hou et al.
KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks
Zhangqi Duan, Nigel Fernandez, Andrew Lan
Measuring Social Bias in Vision-Language Models with Face-Only Counterfactuals from Real Photos
Haodong Chen, Qiang Huang, Jiaqi Zhao et al.
Too Long, Do Re-weighting for Efficient LLM Reasoning Compression
Zhong-Zhi Li, Xiao Liang, Zihao Tang et al.
HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learning
Yangfan Wang, Tianyang Sun, Chen Tang et al.
Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats
Manyi Zhang, Ji-Fu Li, Zhongao Sun et al.
Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition
Yushuo Zheng, Huiyu Duan, Zicheng Zhang et al.
Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching
Bo Lv, Jingbo Sun, Jianwei Lv et al.
Global Adaptive Momentum Meets Local Personalized Perturbation: Efficient Federated LLM Fine-Tuning with Zeroth-Order Gradients
Zihan Chen, Howard Hao Yang, Tony Quek et al.
Decoding-Unlearning: Fact Forgetting via Entropy-Guided Inference
Jingwen Pu, Mingjun Shi, Xinrui Ren et al.
Language Statistics and False Belief Reasoning: Evidence from 41 Open-Weight LMs
Sean Trott, Samuel M. Taylor, Cameron Robert Jones et al.
Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System
Yifei Wei, Linqing Zhong, Yi Liu et al.
MedEinst: Benchmarking the Einstellung Effect in Medical LLMs through Counterfactual Differential Diagnosis
Wenting Chen, Guolin Huang, Wenxuan Wang et al.
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
Sunil Kumar Maurya, Xin Liu