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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 • 9
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 105
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization

Paper • 2402.09320 • Published Feb 14, 2024 • 6
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 115

Transformer^2: Self-adaptive LLMs

Paper • 2501.06252 • Published Jan 9 • 53
s1: Simple test-time scaling

Paper • 2501.19393 • Published Jan 31 • 111
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Paper • 2502.06703 • Published Feb 10 • 142
Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

Paper • 2501.12370 • Published Jan 21 • 11

PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 58

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

Paper • 2403.12968 • Published Mar 19, 2024 • 25
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 58
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

Paper • 2403.09704 • Published Mar 8, 2024 • 32
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 70

Reinforcement Learning (RL / RLHF)

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13, 2024 • 68
Understanding and Diagnosing Deep Reinforcement Learning

Paper • 2406.16979 • Published Jun 23, 2024 • 9
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4, 2024 • 61
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning

Paper • 2407.00617 • Published Jun 30, 2024 • 7

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6, 2024 • 186
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 58

some paper for learn

PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 58
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Paper • 2402.14905 • Published Feb 22, 2024 • 128

Parameter Efficient - LLMs

PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 58
ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4, 2024 • 94
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11, 2024 • 32
Zephyr: Direct Distillation of LM Alignment

Paper • 2310.16944 • Published Oct 25, 2023 • 123

PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 58

Fine-tuning LLM

PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15, 2024 • 58
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Paper • 2403.13447 • Published Mar 20, 2024 • 18
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 115
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 70

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