Papers
Synthetic Data Generation for Training Diversified Commonsense Reasoning Models
Tianhui Zhang, Bei Peng, Danushka Bollegala
RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic Evaluation
Bingxian Wu, Yu Zhang, Zonghao Guo et al.
Multimodal Large Language Models for Multi-Subject In-Context Image Generation
Yucheng Zhou, Dubing Chen, Huan Zheng et al.
Enhanced Reasoning for Biomedical Document-Level Relation Extraction via a Novel Cascade Language Model Framework
Haohua Song, Wenhao Gu, Zhijing Li et al.
Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning
Zekai Lin, Chao Xue, Di Liang et al.
A Multi-Agent Framework for High-Interaction Terminal Simulation
Kai Wei, Yuwen Cui, Kehan Shen et al.
Diagnosing Spatial Consistency across Perspectives and Viewpoints in Large Vision-Language Models
Yoonji Kim, Jieun Kim, Yujin Jeong et al.
Schoenfeld’s Anatomy of Mathematical Reasoning by Language Models
Ming Li, Chenrui Fan, Yize Cheng et al.
SimPBL: A Multi-Agent Framework for Project-Based Learning
Daniel Zhang-Li, Joy Jia Yin Lim, Binglin Liu et al.
Quantifying and Understanding Uncertainty in Large Reasoning Models
Yangyi Li, Chenxu Zhao, Mengdi Huai
Vocabulary Shapes Cross-Lingual Variation of Word-Order Learnability in Language Models
Jonas Mayer Martins, Jaap Jumelet, Viola Priesemann et al.
TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation
Quoc Phong Dao, Hoang Son Nguyen, Pham Khanh Chi et al.
Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance
Parker Seegmiller, Sarah Masud Preum
MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation
Pham Khanh Chi, Quoc Phong Dao, Thuat Nguyen et al.
MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics
Yuxing Lu, Xukai Zhao, J. Ben Tamo et al.
How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting
Parker Seegmiller, Joseph Gatto, Sarah E. Greer et al.
Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future
Sihong Wu, Owen Jiang, Yilun Zhao et al.
Alexandria: A Multi-Domain Dialectal Arabic Machine Translation Dataset for Culturally Inclusive and Linguistically Diverse LLMs
Abdellah EL Mekki, Samar M. Magdy, Houdaifa Atou et al.
Diagnosing Hidden Instabilities in Model Editing via Uncertainty Quantification
Zihan Gu, TianYi Zhang, Xinyan Zhang et al.
SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator
Xueyang Zhou, Weidong Wang, Lin Lu et al.
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
Hongxin Ding, Baixiang Huang, Yue Fang et al.
Injecting Context via Situation Working Memory for Logical Reasoning with LLMs
Jieun Kim, Seoha Lim, YoungHae Choi et al.
Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection
Tianyi Niu, Justin Chen, Genta Indra Winata et al.
Bayesian Social Deduction with Graph-Informed Language Models
Shahab Rahimirad, Guven Gergerli, Lucia Romero et al.
Self-SoftCoT: A Self-Consistent Framework via Position-Aware Latent Space Reinforcement Learning
Liangliang Dong, Lianlei Shan, Shuaimin Li