Papers
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
Leveraging Graph Structural Knowledge to Improve Argument Relation Prediction in Political Debates
Deborah Dore, Stefano Faralli, Serena Villata
Leveraging Human Production-Interpretation Asymmetries to Test LLM Cognitive Plausibility
Suet-Ying Lam, Qingcheng Zeng, Jingyi Wu et al.
Leveraging In-Context Learning for Political Bias Testing of LLMs
Patrick Haller, Jannis Vamvas, Rico Sennrich et al.