Papers
Large Language Models Can Self-Correct with Key Condition Verification
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang et al.
Large Language Models for Data Annotation and Synthesis: A Survey
Zhen Tan, Dawei Li, Song Wang et al.
Large Language Models for Propaganda Span Annotation
Maram Hasanain, Fatema Ahmad, Firoj Alam
Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA
Pu Jian, Donglei Yu, Jiajun Zhang
Large Language Models Know What To Say But Not When To Speak
Muhammad Umair, Vasanth Sarathy, Jan Ruiter
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
Zifan Xu, Haozhu Wang, Dmitriy Bespalov et al.
Latent Concept-based Explanation of NLP Models
Xuemin Yu, Fahim Dalvi, Nadir Durrani et al.
LawBench: Benchmarking Legal Knowledge of Large Language Models
Zhiwei Fei, Xiaoyu Shen, Dawei Zhu et al.
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
Zheng Zhao, Yftah Ziser, Shay B Cohen
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
Kai Yao, Penglei Gao, Lichun Li et al.
Leading Whitespaces of Language Models’ Subword Vocabulary Pose a Confound for Calculating Word Probabilities
Byung-Doh Oh, William Schuler
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Zhihan Zhang, Tao Ge, Zhenwen Liang et al.
Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models
Yunsheng Ma, Xu Cao, Wenqian Ye et al.
Learning Dynamic Multi-attribute Interest for Personalized Product Search
Yutong Bai, Zhicheng Dou, Ji-Rong Wen
Learning, Forgetting, Remembering: Insights From Tracking LLM Memorization During Training
Danny D. Leybzon, Corentin Kervadec
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
Qihuang Zhong, Kunfeng Chen, Liang Ding et al.
Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues
Dominic Petrak, Thy Thy Tran, Iryna Gurevych
Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training
Xinyan Chen, Jiaxin Ge, Tianjun Zhang et al.
Learning from Natural Language Explanations for Generalizable Entity Matching
Somin Wadhwa, Adit Krishnan, Runhui Wang et al.
Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems
Magdalena Kaiser, Patrick Ernst, György Szarvas
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
Chenlong Deng, Kelong Mao, Zhicheng Dou
Learning Musical Representations for Music Performance Question Answering
Xingjian Diao, Chunhui Zhang, Tingxuan Wu et al.
Learning Personalized Alignment for Evaluating Open-ended Text Generation
Danqing Wang, Kevin Yang, Hanlin Zhu et al.
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing
Fangkai Jiao, Chengwei Qin, Zhengyuan Liu et al.
Learning Semantic Structure through First-Order-Logic Translation
Akshay Chaturvedi, Nicholas Asher