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Collections including paper arxiv:2509.09372

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 121
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference

Paper • 2512.01031 • Published Nov 30, 2025 • 26
Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning

Paper • 2510.11027 • Published Oct 13, 2025 • 23
VLA-0: Building State-of-the-Art VLAs with Zero Modification

Paper • 2510.13054 • Published Oct 15, 2025 • 16
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1, 2025 • 67

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 513
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Paper • 2509.25541 • Published Sep 29, 2025 • 141
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148

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

Paper • 2509.08721 • Published Sep 10, 2025 • 665
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25, 2025 • 350
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11, 2025 • 254
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238

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

Paper • 2509.09372 • Published Sep 11, 2025 • 254

Open-Source Foundations for Modern AI Systems

open-source libraries that form the infrastructure layer of modern AI systems, spanning model dev, retrieval, orchestration, evaluation, and MLOPS.

A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale

Paper • 2309.06497 • Published Sep 12, 2023 • 7
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 628
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 251
Meta Llama 3

Collection

This collection hosts the transformers and original repos of the Meta Llama 3 and Llama Guard 2 releases • 5 items • Updated Dec 6, 2024 • 951

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

Paper • 2509.09372 • Published Sep 11, 2025 • 254
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

Paper • 2510.15869 • Published Oct 17, 2025 • 50

Continual Learning - VLA

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

Paper • 2509.09372 • Published Sep 11, 2025 • 254
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models

Paper • 2510.01623 • Published Oct 2, 2025 • 12
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Paper • 2511.09515 • Published Nov 12, 2025 • 20

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

Paper • 2509.09372 • Published Sep 11, 2025 • 254
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4, 2025 • 213
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4, 2025 • 199

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, 2025 • 254
VLA-Adapter/LIBERO-Spatial-Pro

Robotics • 1B • Updated Sep 21, 2025 • 142 • 4
VLA-Adapter/LIBERO-Long-Pro

Robotics • 1B • Updated Sep 21, 2025 • 56 • 5
VLA-Adapter/CALVIN-ABC-Pro

Robotics • 1B • Updated Sep 21, 2025 • 26 • 2

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 121
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

Open-Source Foundations for Modern AI Systems

open-source libraries that form the infrastructure layer of modern AI systems, spanning model dev, retrieval, orchestration, evaluation, and MLOPS.

A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale

Paper • 2309.06497 • Published Sep 12, 2023 • 7
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 628
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 251
Meta Llama 3

Collection

This collection hosts the transformers and original repos of the Meta Llama 3 and Llama Guard 2 releases • 5 items • Updated Dec 6, 2024 • 951

VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference

Paper • 2512.01031 • Published Nov 30, 2025 • 26
Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning

Paper • 2510.11027 • Published Oct 13, 2025 • 23
VLA-0: Building State-of-the-Art VLAs with Zero Modification

Paper • 2510.13054 • Published Oct 15, 2025 • 16
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

Paper • 2510.00406 • Published Oct 1, 2025 • 67

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

Paper • 2509.09372 • Published Sep 11, 2025 • 254
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

Paper • 2510.15869 • Published Oct 17, 2025 • 50

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 513
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

Paper • 2509.25541 • Published Sep 29, 2025 • 141
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 277
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29, 2025 • 148

Continual Learning - VLA

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

Paper • 2509.09372 • Published Sep 11, 2025 • 254
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models

Paper • 2510.01623 • Published Oct 2, 2025 • 12
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Paper • 2511.09515 • Published Nov 12, 2025 • 20

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

Paper • 2509.08721 • Published Sep 10, 2025 • 665
A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Paper • 2508.18106 • Published Aug 25, 2025 • 350
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

Paper • 2509.09372 • Published Sep 11, 2025 • 254
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238

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

Paper • 2509.09372 • Published Sep 11, 2025 • 254
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4, 2025 • 213
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published Sep 2, 2025 • 238
Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4, 2025 • 199

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

Paper • 2509.09372 • Published Sep 11, 2025 • 254

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, 2025 • 254
VLA-Adapter/LIBERO-Spatial-Pro

Robotics • 1B • Updated Sep 21, 2025 • 142 • 4
VLA-Adapter/LIBERO-Long-Pro

Robotics • 1B • Updated Sep 21, 2025 • 56 • 5
VLA-Adapter/CALVIN-ABC-Pro

Robotics • 1B • Updated Sep 21, 2025 • 26 • 2

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