Papers
From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation
Qingchuan Li, Mingyue Cheng, Zirui Liu et al.
From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization
Peiyu Hu, Wayne Lu, Jia Wang
From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks
Changpeng Yang, Jinyang Wu, Yuchen Liu et al.
From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation
Ke Niu, Haiyang Yu, Zhuofan Chen et al.
From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning
Haoyu Li, Xuhong Li, Yiming Dong et al.
From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling
Zhengyu Chen, Yudong Wang, Teng Xiao et al.
From Natural Language to Executable ETL Flows: The IBM DataStage Assistant
Nitin Gupta, Thomas Gschwind, Shramona Chakraborty et al.
From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging
Jialin Wu, Jian Yang, Handing Wang et al.
From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations
Zhiqing Guo, Dongdong Xi, Songlin Li et al.
From Pixels to Logic: A Perception-Reasoning Decomposition Framework for Open-World Referring Expression Comprehension
Lihong Huang, Sheng-hua Zhong, Zhi Zhang et al.
From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples
Canran Xiao, Jiabao Dou, Zhiming Lin et al.
From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge
Hui Lu, Yi Yu, Song Xia et al.
From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration
Hao Li, Tao He, Jiafeng Liang et al.
From Scene to Object: Enhancing Open-Vocabulary Object Detection via Foreground-Background Context Reasoning
Yanqi Li, Jianwei Niu, Ningbo Gu et al.
From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy
Xiangping Zheng, Xiuxin Hao, Bo Wu et al.
From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback
Xinyu Wang, Jinxiao Du, Yiyang Peng et al.
From Single to Societal: Analyzing Persona-Induced Bias in Multi-Agent Interactions
Jiayi Li, Xiao Liu, Yansong Feng
From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench
Weikang Shi, Houxing Ren, Junting Pan et al.
From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning
Weiran Liao, Jielong Lu, Yuhong Chen et al.
From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
Yichao Feng, Haoran Luo, Lang Feng et al.
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
Luzhi Wang, Xuanshuo Fu, He Zhang et al.
From Text to Simulation: A Multi-Agent LLM Workflow for Automated Chemical Process Design
Xufei Tian, Wenli Du, Shaoyi Yang et al.
From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning
Meiju Li, Ruixiang Sun, Xin Li et al.