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Collections including paper arxiv:2501.07301

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 42
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 55

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Paper • 2405.08748 • Published May 14, 2024 • 22
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Paper • 2405.10300 • Published May 16, 2024 • 28
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 130
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Paper • 2405.11143 • Published May 20, 2024 • 36

FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

Paper • 2312.08344 • Published Dec 13, 2023 • 10
Diffusion Priors for Dynamic View Synthesis from Monocular Videos

Paper • 2401.05583 • Published Jan 10, 2024 • 10
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

Paper • 2401.14405 • Published Jan 25, 2024 • 13
The Lessons of Developing Process Reward Models in Mathematical Reasoning

Paper • 2501.07301 • Published 24 days ago • 89

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 52
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

Paper • 2306.01693 • Published Jun 2, 2023 • 3
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
Secrets of RLHF in Large Language Models Part II: Reward Modeling

Paper • 2401.06080 • Published Jan 11, 2024 • 27

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