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

Collections

Discover the best community collections!

Collections including paper arxiv:2505.24726

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

Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4, 2025 • 199
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design

Paper • 2508.21184 • Published Aug 28, 2025 • 3
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282
Small Language Models are the Future of Agentic AI

Paper • 2506.02153 • Published Jun 2, 2025 • 24

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282

Self-Improving AI

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 265
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1, 2025 • 254
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17, 2025 • 263

Snowflake/Arctic-Text2SQL-R1-7B

8B • Updated May 29, 2025 • 8.12k • 70
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 265
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Paper • 2506.16406 • Published Jun 19, 2025 • 133

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282

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

Self-Improving AI

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282

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

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 265
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1, 2025 • 254
A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17, 2025 • 263

Why Language Models Hallucinate

Paper • 2509.04664 • Published Sep 4, 2025 • 199
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design

Paper • 2508.21184 • Published Aug 28, 2025 • 3
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282
Small Language Models are the Future of Agentic AI

Paper • 2506.02153 • Published Jun 2, 2025 • 24

Snowflake/Arctic-Text2SQL-R1-7B

8B • Updated May 29, 2025 • 8.12k • 70
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9, 2025 • 265
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Paper • 2506.16406 • Published Jun 19, 2025 • 133

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282

Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 282

Previous
1
2
3
4
Next

Company

TOS Privacy About Careers

Website

Models Datasets Spaces Pricing Docs