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Collections including paper arxiv:2509.09372

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

Paper • 2510.15869 • Published Oct 17 • 45

Continual Learning - VLA

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models

Paper • 2510.01623 • Published Oct 2 • 10
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Paper • 2511.09515 • Published 24 days ago • 17

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 210
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 193

VLA-Adapter-Pro Models

The models of VLA-Adapter-Pro (The underlying architecture is the same, but the implementation has been improved, resulting in significantly improved)

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
VLA-Adapter/LIBERO-Spatial-Pro

Robotics • 1B • Updated Sep 21 • 90 • 3
VLA-Adapter/LIBERO-Long-Pro

Robotics • 1B • Updated Sep 21 • 38 • 5
VLA-Adapter/CALVIN-ABC-Pro

Robotics • 1B • Updated Sep 21 • 55 • 2

Multimodal Agent

Gemini Robotics: Bringing AI into the Physical World

Paper • 2503.20020 • Published Mar 25 • 29
Magma: A Foundation Model for Multimodal AI Agents

Paper • 2502.13130 • Published Feb 18 • 58
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 51
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Paper • 2410.23218 • Published Oct 30, 2024 • 49

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 491
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Paper • 2509.25541 • Published Sep 29 • 140
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29 • 139

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 660
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 345
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

Multimodal Agent

Gemini Robotics: Bringing AI into the Physical World

Paper • 2503.20020 • Published Mar 25 • 29
Magma: A Foundation Model for Multimodal AI Agents

Paper • 2502.13130 • Published Feb 18 • 58
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 51
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Paper • 2410.23218 • Published Oct 30, 2024 • 49

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

Paper • 2510.15869 • Published Oct 17 • 45

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 491
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Paper • 2509.25541 • Published Sep 29 • 140
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29 • 139

Continual Learning - VLA

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models

Paper • 2510.01623 • Published Oct 2 • 10
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Paper • 2511.09515 • Published 24 days ago • 17

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Paper • 2509.08721 • Published Sep 10 • 660
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25 • 345
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 210
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2 • 225
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4 • 193

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239

VLA-Adapter-Pro Models

The models of VLA-Adapter-Pro (The underlying architecture is the same, but the implementation has been improved, resulting in significantly improved)

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239
VLA-Adapter/LIBERO-Spatial-Pro

Robotics • 1B • Updated Sep 21 • 90 • 3
VLA-Adapter/LIBERO-Long-Pro

Robotics • 1B • Updated Sep 21 • 38 • 5
VLA-Adapter/CALVIN-ABC-Pro

Robotics • 1B • Updated Sep 21 • 55 • 2

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11 • 239

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