Papers
Learning Fair Graph Representations via Probability of Necessity and Sufficiency
Chuxun Liu, Qingfeng Chen, Debo Cheng et al.
Learning Fair Representations with Kolmogorov-Arnold Networks
Amisha Priyadarshini, Sergio Gago-Masague
Learning Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization
Gunjan Balde, Soumyadeep Roy, Mainack Mondal et al.
Learning from Answer Sets via Single-Shot Disjunctive ASP Encoding
Roberto Borelli, Agostino Dovier
Learning from Child-directed Speech in Two-language Scenarios: A French-English Case-Study
Liel Binyamin, Elior Sulem
Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement
Zexu Sun, Yongcheng Zeng, Erxue Min et al.
Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories
Peiyang Liu, Zhirui Chen, Xi Wang et al.
Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration
Hang Lv, Hongchao Gu, Ruiqing Yang et al.
Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training
Mengxiang Zhang, Lingyuan Liu
Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks
Wenliang Zhong, Haiqing Li, Thao M. Dang et al.
Learning from Human Gaze: Human-like Robot Social Navigation in Dense Crowds
Zhecheng Yu, Yan Lyu, Chen Yang et al.
Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model
Hyunwoo Cho, Hyeontae Jo, Hyung Ju Hwang
Learning from Long-Term Engagement: Adaptive Tutoring Dialogue Planning for Personalized Education
Zhiang Dong, Zhenlong Dai, Xiangwei Lv et al.
Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization
Tian Xueyun, MingHua Ma, Bingbing Xu et al.
Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula
Zhihao Shuai, Yiyun Chen, Maolin Ma et al.
Learning from Reasoning Failures via Synthetic Data Generation
Gabriela Ben Melech Stan, Estelle Aflalo, Avinash Madasu et al.
Learning from Scarcity: Building and Benchmarking Speech Technology for Sukuma.
Macton Mgonzo, Kezia Oketch, Naome A Etori et al.
Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment
Lei Chen, Tengteng Cheng, BoYu Gao et al.
Learning from Synthetic Data: Limitations of ERM
Kareem Amin, Alex Bie, Weiwei Kong et al.
Learning from Textual Radiology Reports: A Benchmark Dataset for Coronary CT Angiography
Sudharshan Balaji, Zhiyu Liu, Zhengyuan Jiang et al.
Learning from the Irrecoverable: Error-Localized Policy Optimization for Tool-Integrated LLM Reasoning
Qiao Liang, Yuke Zhu, Chao Ge et al.
Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting
Yunhun Nam, Jaehyung Kim, Jongheon Jeong
Learning from Unknown for Open-Set Test-Time Adaptation
Taki Hasan Rafi, Amit Agarwal, Hitesh L. Patel et al.
Learning Group Actions In Disentangled Latent Image Representations
Farhana Hossain Swarnali, Miaomiao Zhang, Tonmoy Hossain