Models
Datasets
Spaces
Buckets new
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2511.20347

Papers reimplemented

List of research papers, architectures, and techniques reimplemented in LLM-quest or Hugging Face's TRL. Missing: Qwen3.5, Qwen3-Next, GPT-2

VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training

Paper • 2602.10693 • Published Feb 11 • 220
Reinforced Attention Learning

Paper • 2602.04884 • Published Feb 4 • 29
Learning to Reason in 13 Parameters

Paper • 2602.04118 • Published Feb 4 • 6
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Paper • 2405.17604 • Published May 27, 2024 • 3

GigaWorld-0: World Models as Data Engine to Empower Embodied AI

Paper • 2511.19861 • Published Nov 25, 2025 • 30
Soft Adaptive Policy Optimization

Paper • 2511.20347 • Published Nov 25, 2025 • 43
GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms

Paper • 2511.17592 • Published Nov 17, 2025 • 121

Reinforcement learning

Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning

Paper • 2407.20798 • Published Jul 30, 2024 • 24
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 104
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25, 2025 • 75

Proximal Policy Optimization Algorithms

Paper • 1707.06347 • Published Jul 20, 2017 • 11
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 64
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Paper • 2402.03300 • Published Feb 5, 2024 • 145
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22, 2025 • 447

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Paper • 2504.20571 • Published Apr 29, 2025 • 98
One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23, 2025 • 62
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20, 2025 • 52
Performance Trade-offs of Optimizing Small Language Models for E-Commerce

Paper • 2510.21970 • Published Oct 24, 2025 • 3

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Papers reimplemented

List of research papers, architectures, and techniques reimplemented in LLM-quest or Hugging Face's TRL. Missing: Qwen3.5, Qwen3-Next, GPT-2

VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training

Paper • 2602.10693 • Published Feb 11 • 220
Reinforced Attention Learning

Paper • 2602.04884 • Published Feb 4 • 29
Learning to Reason in 13 Parameters

Paper • 2602.04118 • Published Feb 4 • 6
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Paper • 2405.17604 • Published May 27, 2024 • 3

Proximal Policy Optimization Algorithms

Paper • 1707.06347 • Published Jul 20, 2017 • 11
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 64
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Paper • 2402.03300 • Published Feb 5, 2024 • 145
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22, 2025 • 447

GigaWorld-0: World Models as Data Engine to Empower Embodied AI

Paper • 2511.19861 • Published Nov 25, 2025 • 30
Soft Adaptive Policy Optimization

Paper • 2511.20347 • Published Nov 25, 2025 • 43
GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms

Paper • 2511.17592 • Published Nov 17, 2025 • 121

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Paper • 2504.20571 • Published Apr 29, 2025 • 98
One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23, 2025 • 62
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20, 2025 • 52
Performance Trade-offs of Optimizing Small Language Models for E-Commerce

Paper • 2510.21970 • Published Oct 24, 2025 • 3

Reinforcement learning

Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning

Paper • 2407.20798 • Published Jul 30, 2024 • 24
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 104
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25, 2025 • 75

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Company

TOS Privacy About Careers

Website

Models Datasets Spaces Pricing Docs