Papers
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
Mihir Parmar, Nisarg Patel, Neeraj Varshney et al.
LOGIC-LM++: Multi-Step Refinement for Symbolic Formulations
Shashank Kirtania, Priyanshu Gupta, Arjun Radhakrishna
LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP
Danlu Chen, Freda Shi, Aditi Agarwal et al.
Loneliness Episodes: A Japanese Dataset for Loneliness Detection and Analysis
Naoya Fujikawa, Quang Toan Nguyen, Kazuhiro Ito et al.
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Yushi Bai, Xin Lv, Jiajie Zhang et al.
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models
Longze Chen, Ziqiang Liu, Wanwei He et al.
Long-Context Language Modeling with Parallel Context Encoding
Howard Yen, Tianyu Gao, Danqi Chen
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo et al.
Long Unit Word Tokenization and Bunsetsu Segmentation of Historical Japanese
Hiroaki Ozaki, Kanako Komiya, Masayuki Asahara et al.
LooGLE: Can Long-Context Language Models Understand Long Contexts?
Jiaqi Li, Mengmeng Wang, Zilong Zheng et al.
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
Hanqing Wang, Bowen Ping, Shuo Wang et al.
LoRA Meets Dropout under a Unified Framework
Sheng Wang, Liheng Chen, Jiyue Jiang et al.
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
Shihan Dou, Enyu Zhou, Yan Liu et al.
LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
Mingyang Zhang, Hao Chen, Chunhua Shen et al.
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
Ziyu Zhao, Leilei Gan, Guoyin Wang et al.
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
Xu Huang, Zhirui Zhang, Xiang Geng et al.
Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models
Gyutae Park, Seojin Hwang, Hwanhee Lee
Low Resource ICD Coding of Hospital Discharge Summaries
Ashton Williamson, David de Hilster, Amnon Meyers et al.
LPNL: Scalable Link Prediction with Large Language Models
Baolong Bi, Shenghua Liu, Yiwei Wang et al.
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.