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Collections including paper arxiv:2412.17256

RL Fine-tuning Reasoning

A Collection of Papers on Using Reinforcement Learning to Enhance Reasoning

Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 75
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding

Paper • 2411.04282 • Published Nov 6, 2024 • 33
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
MALT: Improving Reasoning with Multi-Agent LLM Training

Paper • 2412.01928 • Published Dec 2, 2024 • 40

Code&Math&Reasoning

Evaluating and Aligning CodeLLMs on Human Preference

Paper • 2412.05210 • Published Dec 6, 2024 • 47
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 45
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Paper • 2412.21187 • Published 29 days ago • 36
HUNYUANPROVER: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving

Paper • 2412.20735 • Published 29 days ago • 11

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 20
Top-nσ: Not All Logits Are You Need

Paper • 2411.07641 • Published Nov 12, 2024 • 20
Adaptive Decoding via Latent Preference Optimization

Paper • 2411.09661 • Published Nov 14, 2024 • 10
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training

Paper • 2411.13476 • Published Nov 20, 2024 • 15

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 • 54

The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines

Paper • 2408.01050 • Published Aug 2, 2024 • 8
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 54
Towards a Unified View of Preference Learning for Large Language Models: A Survey

Paper • 2409.02795 • Published Sep 4, 2024 • 72
Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance

Paper • 2409.04593 • Published Sep 6, 2024 • 24

about 1 month ago

ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Paper • 2406.04325 • Published Jun 6, 2024 • 73
SF-V: Single Forward Video Generation Model

Paper • 2406.04324 • Published Jun 6, 2024 • 24
I4VGen: Image as Stepping Stone for Text-to-Video Generation

Paper • 2406.02230 • Published Jun 4, 2024 • 17
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation

Paper • 2412.18176 • Published Dec 24, 2024 • 15

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023 • 1
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7, 2024 • 15
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 6

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