Papers
SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs
Zhiqiang Liu, Enpei Niu, Yin Hua et al.
Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models
Youan Cong, Pritom Saha Akash, Cheng Wang et al.
Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark
Zekun Fei, Biao Yi, Jianing Geng et al.
Chain-of-Interactions: Multi-step Iterative ICL Framework for Abstractive Task-Oriented Dialogue Summarization of Conversational AI Interactions
Jason Lucas, John Chen, Ali Al-Lawati et al.
Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation
Xiaohu Zhu, Qian Li, Lizhen Cui et al.
Enhancing Hate Speech Classifiers through a Gradient-assisted Counterfactual Text Generation Strategy
Michael Van Supranes, Shaowen Peng, Shoko Wakamiya et al.
LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models
Ruijie Hou, Yueyang Jiao, Hanxu Hu et al.
DocAssistant: Integrating Key-region Reading and Step-wise Reasoning for Robust Document Visual Question Answering
Jinxu Zhang, Qiyuan Fan, Yu Zhang
SafeConf: A Confidence-Calibrated Safety Self-Evaluation Method for Large Language Models
Bo Zhang, Cong Gao, Linkang Yang et al.
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.