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Collections including paper arxiv:2406.06592

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs

Paper • 2407.00653 • Published Jun 30 • 11
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Paper • 2406.18629 • Published Jun 26 • 38
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities

Paper • 2406.14562 • Published Jun 20 • 27
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Paper • 2406.04271 • Published Jun 6 • 27

Papers - Monte Carlo Tree Search (MCTS) - Math Reasoning

Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Paper • 2406.06592 • Published Jun 5 • 17

Papers - RL - Monte Carlo Tree Search (MCTS)

Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Paper • 2406.06592 • Published Jun 5 • 17

Papers - Training - Process Reward Model

Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Paper • 2406.06592 • Published Jun 5 • 17

Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning

Paper • 2406.06469 • Published Jun 10 • 23
Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7 • 53
CRAG -- Comprehensive RAG Benchmark

Paper • 2406.04744 • Published Jun 7 • 40
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Paper • 2406.04325 • Published Jun 6 • 71

DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23 • 31
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18 • 52
Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Paper • 2406.06592 • Published Jun 5 • 17
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Paper • 2406.07394 • Published Jun 11 • 17

Foundation AI Papers (II)

Iterative Reasoning Preference Optimization

Paper • 2404.19733 • Published Apr 30 • 45
Better & Faster Large Language Models via Multi-token Prediction

Paper • 2404.19737 • Published Apr 30 • 73
ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12 • 59
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30 • 106

Papers - Math - Reasoning

Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 42
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline

Paper • 2404.02893 • Published Apr 3 • 19
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18
Premise Order Matters in Reasoning with Large Language Models

Paper • 2402.08939 • Published Feb 14 • 24

Papers - Google

Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23 • 85
Long-form factuality in large language models

Paper • 2403.18802 • Published Mar 27 • 23
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Paper • 2403.18818 • Published Mar 27 • 23
TC4D: Trajectory-Conditioned Text-to-4D Generation

Paper • 2403.17920 • Published Mar 26 • 15

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 • 94
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

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