-
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 25 -
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 58 -
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
Paper • 2403.09704 • Published • 31 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 69
Collections
Discover the best community collections!
Collections including paper arxiv:2403.12173
-
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 54 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 40 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
-
TnT-LLM: Text Mining at Scale with Large Language Models
Paper • 2403.12173 • Published • 20 -
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Paper • 2309.07430 • Published • 27 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 33
-
Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset
Paper • 2403.09029 • Published • 55 -
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 25 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 69 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 76