Papers
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint
Qianli Ma, Dongrui Liu, Qian Chen et al.
LegalAgentBench: Evaluating LLM Agents in Legal Domain
Haitao Li, Junjie Chen, Jingli Yang et al.
LegalCore: A Dataset for Event Coreference Resolution in Legal Documents
Kangda Wei, Xi Shi, Jonathan Tong et al.
LegalReasoner: Step-wised Verification-Correction for Legal Judgment Reasoning
Weijie Shi, Han Zhu, Jiaming Ji et al.
LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation
Fei Yuan, Yinquan Lu, Lei Li et al.
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
Zhuoshi Pan, Yu Li, Honglin Lin et al.
Lemmas Matter, But Not Like That: Predictors of Lemma-Based Generalization in Morphological Inflection
Sarah Payne, Jordan Kodner
Lemmatisation & Morphological Analysis of Unedited Greek: Do Simple Tasks Need Complex Solutions?
Colin Swaelens, Ilse De Vos, Els Lefever
LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World
Sina Semnani, Pingyue Zhang, Wanyue Zhai et al.
Length Controlled Generation for Black-box LLMs
Yuxuan Gu, Wenjie Wang, Xiaocheng Feng et al.
Length-Induced Embedding Collapse in PLM-based Models
Yuqi Zhou, Sunhao Dai, Zhanshuo Cao et al.
LESA: Learnable LLM Layer Scaling-Up
Yifei Yang, Zouying Cao, Xinbei Ma et al.
Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts
Xue Zhang, Yunlong Liang, Fandong Meng et al.
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation
Dimitris Gkoumas, Maria Liakata
Less is More: Explainable and Efficient ICD Code Prediction with Clinical Entities
James C. Douglas, Yidong Gan, Ben Hachey et al.
Less Mature is More Adaptable for Sentence-level Language Modeling
Abhilasha Sancheti, David Dale, Artyom Kozhevnikov et al.
Lessons Learned in Assessing Student Reflections with LLMs
Mohamed Elaraby, Diane Litman
Let’s Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models
Kangyang Luo, Zichen Ding, Zhenmin Weng et al.
LETS-C: Leveraging Text Embedding for Time Series Classification
Rachneet Kaur, Zhen Zeng, Tucker Balch et al.
Let’s Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR
Chan-Jan Hsu, Yi-Chang Chen, Feng-Ting Liao et al.
Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation
Sadaf Md Halim, Chen Zhao, Xintao Wu et al.
Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration
Shao Zhang, Xihuai Wang, Wenhao Zhang et al.
Leveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests
Stefan Dascalescu, Marius Dumitran, Mihai Alexandru Vasiluta