Papers
Learning API Functionality from In-Context Demonstrations for Tool-based Agents
Bhrij Patel, Ashish Jagmohan, Aditya Vempaty
Learning Contextual Retrieval for Robust Conversational Search
Seunghan Yang, Juntae Lee, Jihwan Bang et al.
Learning from Diverse Reasoning Paths with Routing and Collaboration
Zhenyu Lei, Zhen Tan, Song Wang et al.
Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation
Haijian Ma, Daizong Liu, Xiaowen Cai et al.
Learning from LLM Agents: In-Context Generative Models for Text Casing in E-Commerce Ads
Yingxue Zhou, Tan Zhu, Tao Zeng et al.
Learning Is Not A Race: Improving Retrieval in Language Models via Equal Learning
Wanqian Yang, Aahlad Manas Puli, Rajesh Ranganath
Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation
Enci Zhang, Xingang Yan, Wei Lin et al.
Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation
Xiaohu Zhu, Qian Li, Lizhen Cui et al.
Learning Subjective Label Distributions via Sociocultural Descriptors
Mohammed Fayiz Parappan, Ricardo Henao
Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition
Panagiotis Kaliosis, John Pavlopoulos
Learning to Ask: When LLM Agents Meet Unclear Instruction
Wenxuan Wang, Shi Juluan, Zixuan Ling et al.
Learning to Describe Implicit Changes: Noise-robust Pre-training for Image Difference Captioning
Zixin Guo, Jiayang Sun, Tzu-Jui Julius Wang et al.
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
Yunzhe Qi, Jinjin Tian, Tianci Liu et al.
Learning to See through Sound: From VggCaps to Multi2Cap for Richer Automated Audio Captioning
Sangyeon Cho, Mingi Kim, Jinkwon Hwang et al.
Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits
Nathaniel Berger, Johannes Eschbach-Dymanus, Miriam Exel et al.
Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction
Tobias Groot, Salo Lacunes, Evgenia Ilia
Learning Trajectories of Figurative Language for Pre-Trained Language Models
Nicola Arici, Luca Putelli, Ejdis Gjinika et al.
Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models
S M Rafiuddin, Muntaha Nujat Khan
Learning Word Embeddings from Glosses: A Multi-Loss Framework for Arabic Reverse Dictionary Tasks
Engy Ibrahim, Farhah Adel, Marwan Torki et al.
LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop
Runcong Zhao, Artem Bobrov, Jiazheng Li et al.
Legal Fact Prediction: The Missing Piece in Legal Judgment Prediction
Junkai Liu, Yujie Tong, Hui Huang et al.
Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning
Kepu Zhang, Guofu Xie, Weijie Yu et al.
LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation
Chaeeun Kim, Jinu Lee, Wonseok Hwang
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors
Rao Ma, Tongzhou Chen, Kartik Audhkhasi et al.