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Collections including paper arxiv:2403.12968

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15 • 57
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

Paper • 2403.09704 • Published Mar 8 • 31
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 67

Token Compression

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24
Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings

Paper • 2403.07750 • Published Mar 12 • 21

Papers - Prompt

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24
Improving Text-to-Image Consistency via Automatic Prompt Optimization

Paper • 2403.17804 • Published Mar 26 • 16
The Unreasonable Effectiveness of Eccentric Automatic Prompts

Paper • 2402.10949 • Published Feb 9 • 3
Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Paper • 2306.02707 • Published Jun 5, 2023 • 46

Papers - Prompt - Prompt Compression - Report

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Paper • 2403.09029 • Published Mar 14 • 54
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 67
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 72

Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment

Paper • 2401.12474 • Published Jan 23 • 33
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Paper • 2310.00746 • Published Oct 1, 2023 • 1
LESS: Selecting Influential Data for Targeted Instruction Tuning

Paper • 2402.04333 • Published Feb 6 • 3

Foundation AI Papers

Curated List of Must-Reads on LLM reasoning at Temus AI team

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 99
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization

Paper • 2402.09320 • Published Feb 14 • 6
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6 • 109

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 20
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 64

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