Papers
LLM-Supported Natural Language to Bash Translation
Finnian Westenfelder, Erik Hemberg, Stephen Moskal et al.
LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?
Jan Cegin, Jakub Simko, Peter Brusilovsky
LLM’s Weakness in NER Doesn’t Stop It from Enhancing a Stronger SLM
Weilu Xu, Renfei Dang, Shujian Huang
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Kaichen Zhang, Bo Li, Peiyuan Zhang et al.
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models
Zhenyue Qin, Yu Yin, Dylan Campbell et al.
LM-Pub-Quiz: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models
Max Ploner, Jacek Wiland, Sebastian Pohl et al.
Local Prompt Optimization
Yash Jain, Vishal Chowdhary
LOFT: Scalable and More Realistic Long-Context Evaluation
Jinhyuk Lee, Anthony Chen, Zhuyun Dai et al.
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
Tongxuan Liu, Wenjiang Xu, Weizhe Huang et al.
Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning
Zixiao Zhu, Zijian Feng, Hanzhang Zhou et al.
LogRules: Enhancing Log Analysis Capability of Large Language Models through Rules
Xin Huang, Ting Zhang, Wen Zhao
LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios
Pei Chen, Hongye Jin, Cheng-Che Lee et al.
Long-Tail Crisis in Nearest Neighbor Language Models
Yuto Nishida, Makoto Morishita, Hiroyuki Deguchi et al.
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding
Sukmin Cho, Sangjin Choi, Taeho Hwang et al.
Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models
Lovish Madaan, David Esiobu, Pontus Stenetorp et al.
Lost in Overlap: Exploring Logit-based Watermark Collision in LLMs
Yiyang Luo, Ke Lin, Chao Gu et al.
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge
Meiyun Wang, Takeshi Kojima, Yusuke Iwasawa et al.
Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair
Maksim Borisov, Zhanibek Kozhirbayev, Valentin Malykh
Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service
Raphael Merx, Adérito José Guterres Correia, Hanna Suominen et al.
Low-Resource Transliteration for Roman-Urdu and Urdu Using Transformer-Based Models
Umer Butt, Stalin Varanasi, Günter Neumann
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
Jung Hyun Lee, Jeonghoon Kim, June Yong Yang et al.
LSDC: An Efficient and Effective Large-Scale Data Compression Method for Supervised Fine-tuning of Large Language Models
Zhaoguang Long, Yuhao Zhou, Shangqing Zhao et al.