Papers
Safety in Large Reasoning Models: A Survey
Cheng Wang, Yue Liu, Baolong Bi et al.
PAMN: Multi-phase Correlation Modeling for Contrast-Enhanced 3D Medical Image Retrieval
Haonan Tong, Ke Liu, Chuang Zhang et al.
Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity
Zihao Li, Feihao Fang, Xitong Zhang et al.
Instance-level Randomization: Toward More Stable LLM Evaluations
Yiyang Li, Yonghuang Wu, Ying Luo et al.
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
Zihan Chen, Song Wang, Xingbo Fu et al.
SLIM: Subtrajectory-Level Elimination for More Effective Reasoning
Xifeng Yao, Chengyuan Ma, Dongyu Lang et al.
Rust-doctor: Enhanced Feature for Rust Ownership and Lifetime Repair with Balanced Training Data Generation
Wenzhang Yang, Xiaoning Ren, Cuifeng Gao et al.
Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models
Jinwen Chen, Hainan Zhang, Fei Sun et al.
ThinkAnswer Loss: Balancing Semantic Similarity and Exact Matching for LLM Reasoning Enhancement
Shan Yang, Kun Wu, Zeju Li et al.
LMUNIT: Fine-grained Evaluation with Natural Language Unit Tests
Jon Saad-Falcon, Rajan Pathe Vivek, William Berrios et al.
AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
Runchuan Zhu, Bowen Jiang, Lingrui Mei et al.
AdaTP: Attention-Debiased Token Pruning for Video Large Language Models
Fengyuan Sun, Leqi Shen, Hui Chen et al.
FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
Minghao Hu, Junzhe Wang, Weisen Zhao et al.
Distill Visual Chart Reasoning Ability from LLMs to MLLMs
Wei He, Zhiheng Xi, Wanxu Zhao et al.
Multimodal Document-level Triple Extraction via Dynamic Graph Enhancement and Relation-Aware Reflection
Xiang Li, Runhai Jiao, Zhou Changyu et al.
Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision
Dawei Zhu, Xiyu Wei, Guangxiang Zhao et al.
TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data
Changjiang Jiang, Fengchang Yu, Haihua Chen et al.
CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
Feiyang Li, Peng Fang, Zhan Shi et al.
MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering
Siyue Zhang, Yuxiang Xue, Yiming Zhang et al.
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation
Tianjiao Li, Mengran Yu, Chenyu Shi et al.
PreGenie: An Agentic Framework for High-quality Visual Presentation Generation
Xiaojie Xu, Xinli Xu, Sirui Chen et al.
ICLER: Intent CLassification with Enhanced Reasoning
Dezheng Gao, Dong Xiaozheng, SHuangtao Yang et al.
NeighXLM: Enhancing Cross-Lingual Transfer in Low-Resource Languages via Neighbor-Augmented Contrastive Pretraining
Sicheng Wang, Wenyi Wu, Zibo Zhang
Visual Program Distillation with Template-Based Augmentation
Michal Shlapentokh-Rothman, Yu-Xiong Wang, Derek Hoiem
Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment
Jiahuan Pei, Fanghua Ye, Xin Sun et al.