Papers
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models
Jiaqi Zhao, Miao Zhang, Chao Zeng et al.
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
Haoxin Liu, Zhiyuan Zhao, Jindong Wang et al.
LT4SG@SMM4H’24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models
Dasun Athukoralage, Thushari Atapattu, Menasha Thilakaratne et al.
M3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset
Zhe Chen, Heyang Liu, Wenyi Yu et al.
M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
Qiguang Chen, Libo Qin, Jin Zhang et al.
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Jianlyu Chen, Shitao Xiao, Peitian Zhang et al.
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
Yuxia Wang, Jonibek Mansurov, Petar Ivanov et al.
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models
Wai-Chung Kwan, Xingshan Zeng, Yufei Wang et al.
MA at AraFinNLP2024: BERT-based Ensemble for Cross-dialectal Arabic Intent Detection
Asmaa Ramadan, Manar Amr, Marwan Torki et al.
Machine-Generated Text Localization
Zhongping Zhang, Wenda Qin, Bryan Plummer
Machine Translation Through Cultural Texts: Can Verses and Prose Help Low-Resource Indigenous Models?
Antoine Cadotte, Nathalie André, Fatiha Sadat
Machine Unlearning of Pre-trained Large Language Models
Jin Yao, Eli Chien, Minxin Du et al.
MAGE: Machine-generated Text Detection in the Wild
Yafu Li, Qintong Li, Leyang Cui et al.
MAIRA at RRG24: A specialised large multimodal model for radiology report generation
Shaury Srivastav, Mercy Ranjit, Fernando Pérez-García et al.
Make-A-Voice: Revisiting Voice Large Language Models as Scalable Multilingual and Multitask Learners
Rongjie Huang, Chunlei Zhang, Yongqi Wang et al.
Making Harmful Behaviors Unlearnable for Large Language Models
Xin Zhou, Yi Lu, Ruotian Ma et al.
Making Long-Context Language Models Better Multi-Hop Reasoners
Yanyang Li, Shuo Liang, Michael Lyu et al.
MAMKit: A Comprehensive Multimodal Argument Mining Toolkit
Eleonora Mancini, Federico Ruggeri, Stefano Colamonaco et al.
ManWav: The First Manchu ASR Model
Jean Seo, Minha Kang, SungJoo Byun et al.
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez
MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation
Jiaqi Chen, Bingqian Lin, Ran Xu et al.
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models
Divyanshu Aggarwal, Ashutosh Sathe, Ishaan Watts et al.
MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference Optimization
Shuaijie She, Wei Zou, Shujian Huang et al.
MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy
Davis Yoshida, Kartik Goyal, Kevin Gimpel
Marathon: A Race Through the Realm of Long Context with Large Language Models
Lei Zhang, Yunshui Li, Ziqiang Liu et al.