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Collections including paper arxiv:2404.19733

Papers - CoT - 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 • 96
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 • 12

BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 96
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 592
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

Paper • 2402.17485 • Published Feb 27 • 185
Iterative Reasoning Preference Optimization

Paper • 2404.19733 • Published Apr 30 • 46

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 96
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 46
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15 • 56
MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Paper • 2403.02884 • Published Mar 5 • 15

Symbolic LLM Reasoning

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Paper • 2401.03065 • Published Jan 5 • 10
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Paper • 2401.14196 • Published Jan 25 • 46
WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation

Paper • 2312.14187 • Published Dec 20, 2023 • 49
On the Effectiveness of Large Language Models in Domain-Specific Code Generation

Paper • 2312.01639 • Published Dec 4, 2023 • 1

Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 70
Learning From Mistakes Makes LLM Better Reasoner

Paper • 2310.20689 • Published Oct 31, 2023 • 28
Let's Verify Step by Step

Paper • 2305.20050 • Published May 31, 2023 • 9
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Paper • 2308.00436 • Published Aug 1, 2023 • 21

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Paper • 2311.13231 • Published Nov 22, 2023 • 26
Nash Learning from Human Feedback

Paper • 2312.00886 • Published Dec 1, 2023 • 14
Secrets of RLHF in Large Language Models Part II: Reward Modeling

Paper • 2401.06080 • Published Jan 11 • 24
MusicRL: Aligning Music Generation to Human Preferences

Paper • 2402.04229 • Published Feb 6 • 16

Super Alignment

Trusted Source Alignment in Large Language Models

Paper • 2311.06697 • Published Nov 12, 2023 • 10
Diffusion Model Alignment Using Direct Preference Optimization

Paper • 2311.12908 • Published Nov 21, 2023 • 47
SuperHF: Supervised Iterative Learning from Human Feedback

Paper • 2310.16763 • Published Oct 25, 2023 • 1
Enhancing Diffusion Models with Text-Encoder Reinforcement Learning

Paper • 2311.15657 • Published Nov 27, 2023 • 2

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