Papers
LDIR: Low-Dimensional Dense and Interpretable Text Embeddings with Relative Representations
Yile Wang, Zhanyu Shen, Hui Huang
LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models
Yan Wang, Ling Ding, Tien N Nguyen et al.
LEAP & LEAN: Look-ahead Planning and Agile Navigation for LLM Agents
Nikhil Verma, Manasa Bharadwaj
Learning and Enforcing Context-Sensitive Control for LLMs
Mohammad Albinhassan, Pranava Madhyastha, Mark Law et al.
Learning and Evaluating Factual Clarification Question Generation Without Examples
Matthew Toles, Yukun Huang, Zhou Yu
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation
Chengwei Qin, Wenxuan Zhou, Karthik Abinav Sankararaman et al.
Learning First-Order Logic Rules for Argumentation Mining
Yang Sun, Guanrong Chen, Hamid Alinejad-Rokny et al.
Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review
Zhuochun Li, Yuelyu Ji, Rui Meng et al.
Learning from Disagreement: Entropy-Guided Few-Shot Selection for Toxic Language Detection
Tommaso Caselli, Flor Miriam Plaza-del-Arco
Learning from Litigation: Graphs for Retrieval and Reasoning in eDiscovery
Sounak Lahiri, Sumit Pai, Tim Weninger et al.
Learning from Negative Samples in Biomedical Generative Entity Linking
Chanhwi Kim, Hyunjae Kim, Sihyeon Park et al.
Learning Sparsity for Effective and Efficient Music Performance Question Answering
Xingjian Diao, Tianzhen Yang, Chunhui Zhang et al.
Learning Task Representations from In-Context Learning
Baturay Saglam, Xinyang Hu, Zhuoran Yang et al.
Learning to Align Multi-Faceted Evaluation: A Unified and Robust Framework
Kaishuai Xu, Tiezheng Yu, Yi Cheng et al.
Learning to Generate Structured Output with Schema Reinforcement Learning
Yaxi Lu, Haolun Li, Xin Cong et al.
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia et al.
Learning to Insert [PAUSE] Tokens for Better Reasoning
Eunki Kim, Sangryul Kim, James Thorne
Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention
Zhaoxin Feng, Jianfei Ma, Emmanuele Chersoni et al.
Learning to Play Like Humans: A Framework for LLM Adaptation in Interactive Fiction Games
Jinming Zhang, Yunfei Long
Learning to Reason from Feedback at Test-Time
Yanyang Li, Michael R. Lyu, Liwei Wang
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models
Adrián Bazaga, Rexhina Blloshmi, Bill Byrne et al.
Learning to Rewrite: Generalized LLM-Generated Text Detection
Wei Hao, Ran Li, Weiliang Zhao et al.
Learning to Select In-Context Demonstration Preferred by Large Language Model
Zheng Zhang, Shaocheng Lan, Lei Song et al.
Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory
Guangyue Peng, Tao Ge, Wen Luo et al.
LECTURE4ALL: A Lightweight Approach to Precise Timestamp Detection in Online Lecture Videos
Torben Hannemann, Frank Hammerschmidt, Simon Kazemi et al.