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Collections including paper arxiv:2504.10479

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

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14, 2025 • 308
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14, 2025 • 339
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published Aug 25, 2025 • 218
How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective

Paper • 2509.18905 • Published Sep 23, 2025 • 30

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

Paper • 2508.21148 • Published Aug 28, 2025 • 142
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14, 2025 • 308
Fara-7B: An Efficient Agentic Model for Computer Use

Paper • 2511.19663 • Published Nov 24, 2025 • 17

SpatialLM: Training Large Language Models for Structured Indoor Modeling

Paper • 2506.07491 • Published Jun 9, 2025 • 51
RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19, 2025 • 20
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14, 2025 • 308

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Paper • 2506.05176 • Published Jun 5, 2025 • 81
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning

Paper • 2506.04207 • Published Jun 4, 2025 • 48
MiMo-VL Technical Report

Paper • 2506.03569 • Published Jun 4, 2025 • 80
UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Paper • 2506.03147 • Published Jun 3, 2025 • 58

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

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14, 2025 • 308
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30, 2025 • 550

Packing Input Frame Context in Next-Frame Prediction Models for Video Generation

Paper • 2504.12626 • Published Apr 17, 2025 • 51
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14, 2025 • 339
Qwen-Image Technical Report

Paper • 2508.02324 • Published Aug 4, 2025 • 274
DINOv3

Paper • 2508.10104 • Published Aug 13, 2025 • 305

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13, 2025 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14, 2025 • 20
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6, 2025 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19, 2025 • 48

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31, 2025 • 305
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14, 2025 • 308
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31, 2025 • 55
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15, 2025 • 70

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

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14, 2025 • 308
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14, 2025 • 339
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published Aug 25, 2025 • 218
How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective

Paper • 2509.18905 • Published Sep 23, 2025 • 30

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14, 2025 • 308
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Paper • 2509.26507 • Published Sep 30, 2025 • 550

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers

Paper • 2508.21148 • Published Aug 28, 2025 • 142
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14, 2025 • 308
Fara-7B: An Efficient Agentic Model for Computer Use

Paper • 2511.19663 • Published Nov 24, 2025 • 17

Packing Input Frame Context in Next-Frame Prediction Models for Video Generation

Paper • 2504.12626 • Published Apr 17, 2025 • 51
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14, 2025 • 339
Qwen-Image Technical Report

Paper • 2508.02324 • Published Aug 4, 2025 • 274
DINOv3

Paper • 2508.10104 • Published Aug 13, 2025 • 305

SpatialLM: Training Large Language Models for Structured Indoor Modeling

Paper • 2506.07491 • Published Jun 9, 2025 • 51
RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19, 2025 • 20
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14, 2025 • 308

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13, 2025 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14, 2025 • 20
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6, 2025 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19, 2025 • 48

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Paper • 2506.05176 • Published Jun 5, 2025 • 81
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning

Paper • 2506.04207 • Published Jun 4, 2025 • 48
MiMo-VL Technical Report

Paper • 2506.03569 • Published Jun 4, 2025 • 80
UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation

Paper • 2506.03147 • Published Jun 3, 2025 • 58

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31, 2025 • 305
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14, 2025 • 308
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31, 2025 • 55
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15, 2025 • 70

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