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Collections including paper arxiv:2305.10601

OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Paper • 2404.14619 • Published Apr 22 • 122
Multi-Head Mixture-of-Experts

Paper • 2404.15045 • Published Apr 23 • 55
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22 • 239
Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15 • 80

LM Prompt Engineering

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

Paper • 2310.04406 • Published Oct 6, 2023 • 8
Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Paper • 2305.10601 • Published May 17, 2023 • 7
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 46
Voyager: An Open-Ended Embodied Agent with Large Language Models

Paper • 2305.16291 • Published May 25, 2023 • 8

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 36
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 12
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 11
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 10

First_Collection

Things I find interesting.

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Paper • 2305.10601 • Published May 17, 2023 • 7

Papers - Tree of Thoughts

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Paper • 2305.10601 • Published May 17, 2023 • 7
Hydragen: High-Throughput LLM Inference with Shared Prefixes

Paper • 2402.05099 • Published Feb 7 • 17

Papers - Chain of Thought

Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 37
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 91
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Paper • 2403.14624 • Published Mar 21 • 50
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20 • 2

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 • 104

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Paper • 2305.10601 • Published May 17, 2023 • 7
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models

Paper • 2310.14491 • Published Oct 23, 2023

Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 69
Learning From Mistakes Makes LLM Better Reasoner

Paper • 2310.20689 • Published Oct 31, 2023 • 24
Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 3
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Paper • 2308.00436 • Published Aug 1, 2023 • 20

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 6
Self-Consistency Improves Chain of Thought Reasoning in Language Models

Paper • 2203.11171 • Published Mar 21, 2022 • 1
MemGPT: Towards LLMs as Operating Systems

Paper • 2310.08560 • Published Oct 12, 2023 • 6
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Paper • 2310.06117 • Published Oct 9, 2023 • 3

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