Papers
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.
Less Is Better: Sparse Instance Learning for Cross-Domain Few-Shot Object Detection
Yali Huang, Jie Mei, Ziyi Wu et al.
Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data
Zaruhi Navasardyan, Bagratuni Minsayan, Spartak Bughdaryan et al.
Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
Zhen Yang, Mingyang Zhang, Feng Chen et al.
Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective
Tianqi Jiang, Liu Yang, Xi-Le Zhao et al.
Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks
Keke Tang, Tianyu Hao, Xiaofei Wang et al.
Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models
Yucheng Zhou, Jihai Zhang, Guanjie Chen et al.
Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework
Chenyuan Zhang, Qiguang Chen, Xie Chen et al.
Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization
Kushal Chawla, Chenyang Zhu, Pengshan Cai et al.