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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 • 8
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 91
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 • 103

Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 45
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15 • 55
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 46
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 91

Diffusion World Model

Paper • 2402.03570 • Published Feb 5 • 7
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF

Paper • 2401.16335 • Published Jan 29 • 1
Towards Efficient and Exact Optimization of Language Model Alignment

Paper • 2402.00856 • Published Feb 1
ODIN: Disentangled Reward Mitigates Hacking in RLHF

Paper • 2402.07319 • Published Feb 11 • 13

Scaling Laws for Downstream Task Performance of Large Language Models

Paper • 2402.04177 • Published Feb 6 • 16
Offline Actor-Critic Reinforcement Learning Scales to Large Models

Paper • 2402.05546 • Published Feb 8 • 4
SaulLM-7B: A pioneering Large Language Model for Law

Paper • 2403.03883 • Published Mar 6 • 68
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 568

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30 • 15
Transforming and Combining Rewards for Aligning Large Language Models

Paper • 2402.00742 • Published Feb 1 • 11
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Paper • 2402.03300 • Published Feb 5 • 63
Specialized Language Models with Cheap Inference from Limited Domain Data

Paper • 2402.01093 • Published Feb 2 • 45

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 50
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28 • 17
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23 • 18
Linear Transformers are Versatile In-Context Learners

Paper • 2402.14180 • Published Feb 21 • 5

Somethin to read

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4 • 60
TinyLlama: An Open-Source Small Language Model

Paper • 2401.02385 • Published Jan 4 • 81
Simple and Scalable Strategies to Continually Pre-train Large Language Models

Paper • 2403.08763 • Published Mar 13 • 48
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15 • 55

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Paper • 2312.11514 • Published Dec 12, 2023 • 253
3D-LFM: Lifting Foundation Model

Paper • 2312.11894 • Published Dec 19, 2023 • 13
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 55
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Paper • 2312.16862 • Published Dec 28, 2023 • 28

mistralai/Mistral-7B-Instruct-v0.2

Text Generation • Updated Mar 24 • 1.56M • 2.36k
mistralai/Mixtral-8x7B-Instruct-v0.1

Text Generation • Updated Feb 29 • 365k • 3.88k
mistralai/Mixtral-8x7B-v0.1

Text Generation • Updated Jan 21 • 326k • 1.56k
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15 • 55

Deep Reinforcement Learning

Features implementations and paces of popular RL algorithms and new paradigms on a variety of environments.

Ryukijano/rl_course_vizdoom_health_gathering_supreme

Reinforcement Learning • Updated Mar 21, 2023
Ryukijano/Mujoco_rl_halfcheetah_Decision_Trasformer

Reinforcement Learning • Updated Jul 22, 2023 • 5
Ryukijano/poca-SoccerTwos

Reinforcement Learning • Updated Jul 18, 2023 • 93
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning

Paper • 2308.03526 • Published Aug 7, 2023 • 24

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