Papers
Learning When to Personalize: LLM Based Playlist Generation via Query Taxonomy and Classification
Fedor Buzaev, Ivan Sukharev, Rinat Mullahmetov et al.
Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models
Hao Wang, Hao Gu, Hongming Piao et al.
Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering
Hang Gao, Zuosong Cai, Yuze Li et al.
Learning with Monotone Adversarial Corruptions
Kasper Green Larsen, Chirag Pabbaraju, Abhishek Shetty
Learning with Preserving for Continual Multitask Learning
Hanchen David Wang, Siwoo Bae, Zirong Chen et al.
Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs
Aritra Banik, Mano Prakash Parthasarathi, Venkatesh Raman et al.
Learn Like Humans: Use Meta-cognitive Reflection for Efficient Self-Improvement
Xinmeng Hou, Bohao Qu, Wuqi Wang et al.
Learn to Relax with Large Language Models: Solving Constraint Optimization Problems via Bidirectional Coevolution
Beidan Liu, Zhengqiu Zhu, Chen Gao et al.
LEASH: Adaptive Length Penalty and Reward Shaping for Efficient Large Reasoning Model
Yanhao Li, Lu Ma, Jiaran Zhang et al.
Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection
Zedian Shao, Hongbin Liu, Yuepeng Hu et al.
LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation
Weikang Yuan, Kaisong Song, Zhuoren Jiang et al.
LEDOM: Reverse Language Model
Xunjian Yin, Sitao Cheng, Yuxi Xie et al.
LegalChainReasoner: Grounding Criminal Judicial Opinion Generation via Structured Legal Chains
Weizhe Shi, Qiqi Wang, Yihong Pan et al.
LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models
Tianchun Li, Haochen Liu, Vishwa Pardeshi et al.
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
Zerui Chen, Qinggang Zhang, Zhishang Xiang et al.
Legal Judgment Prediction: A Reflection on the State of the Art
Yi Feng, Chuanyi Li, Vincent Ng
Leibniz: Theory-of-Mind Driven Neuro-Symbolic Logical Reasoning via Multi-Agent Collaboration
Yue Fan, Hu Zhang, Yunxiao Zhao et al.
LeLoRA: Learnable Low-Rank Adaptation of Large Language Models
Xiaoling Zhou, Mingjie Zhang, Zhemg Lee et al.
LEMUR: A Corpus for Robust Fine-Tuning of Multilingual Law Embedding Models for Retrieval
Narges Baba Ahmadi, Jan Strich, Martin Semmann et al.
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
Zhicheng Zhang, Zhaocheng Du, Jieming Zhu et al.
LENS: Learning to Segment Anything with Unified Reinforced Reasoning
Lianghui Zhu, Bin Ouyang, Yuxuan Zhang et al.
LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models
Wenxuan Xu, Arvind Pillai, Subigya Nepal et al.
LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset
Manjushree Aithal, Rosaura G VidalMata, Manikandtan Kartha et al.
LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues
Fanyu Wang, Xiaoxi Kang, Paul Burgess et al.
Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection
Shiwan DI, Jupeng LI, Yuxuan YANG et al.