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Collections including paper arxiv:2505.09388

Qwen/Qwen3-235B-A22B-Thinking-2507-FP8

Text Generation • 235B • Updated Jul 30 • 14.2k • 69
Qwen/Qwen3-235B-A22B-Thinking-2507

Text Generation • 235B • Updated Aug 17 • 73.6k • • 383
Qwen/Qwen3-235B-A22B-Instruct-2507-FP8

Text Generation • 235B • Updated Sep 17 • 312k • 138
Qwen/Qwen3-235B-A22B-Instruct-2507

Text Generation • 235B • Updated Sep 17 • 109k • • 731

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
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

LLM Tech Reports

Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 317
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22 • 125
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 429
Qwen2.5-VL Technical Report

Paper • 2502.13923 • Published Feb 19 • 211
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 317
Qwen-Image Technical Report

Paper • 2508.02324 • Published Aug 4 • 264

ARE: Scaling Up Agent Environments and Evaluations

Paper • 2509.17158 • Published Sep 21 • 35
ARTDECO: Towards Efficient and High-Fidelity On-the-Fly 3D Reconstruction with Structured Scene Representation

Paper • 2510.08551 • Published Oct 9 • 32
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention

Paper • 2510.04212 • Published Oct 5 • 23
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning

Paper • 2510.12693 • Published Oct 14 • 26

AI Paper of the Day

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

about 18 hours ago

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

Toolkit - Papers

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256
Neural Machine Translation by Jointly Learning to Align and Translate

Paper • 1409.0473 • Published Sep 1, 2014 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 24

LLM Technical Report

Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 317

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

Paper • 2504.10479 • Published Apr 14 • 303
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 317
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published Aug 25 • 208
How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective

Paper • 2509.18905 • Published Sep 23 • 29

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8 • 192
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

Paper • 2508.14444 • Published Aug 20 • 38
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7 • 64
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 272

Qwen/Qwen3-235B-A22B-Thinking-2507-FP8

Text Generation • 235B • Updated Jul 30 • 14.2k • 69
Qwen/Qwen3-235B-A22B-Thinking-2507

Text Generation • 235B • Updated Aug 17 • 73.6k • • 383
Qwen/Qwen3-235B-A22B-Instruct-2507-FP8

Text Generation • 235B • Updated Sep 17 • 312k • 138
Qwen/Qwen3-235B-A22B-Instruct-2507

Text Generation • 235B • Updated Sep 17 • 109k • • 731

AI Paper of the Day

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

about 18 hours ago

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

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
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

Toolkit - Papers

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256
Neural Machine Translation by Jointly Learning to Align and Translate

Paper • 1409.0473 • Published Sep 1, 2014 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 24

LLM Tech Reports

Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 317
Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22 • 125
Training language models to follow instructions with human feedback

Paper • 2203.02155 • Published Mar 4, 2022 • 24

LLM Technical Report

Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 317

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 429
Qwen2.5-VL Technical Report

Paper • 2502.13923 • Published Feb 19 • 211
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 317
Qwen-Image Technical Report

Paper • 2508.02324 • Published Aug 4 • 264

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

Paper • 2504.10479 • Published Apr 14 • 303
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 317
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published Aug 25 • 208
How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective

Paper • 2509.18905 • Published Sep 23 • 29

ARE: Scaling Up Agent Environments and Evaluations

Paper • 2509.17158 • Published Sep 21 • 35
ARTDECO: Towards Efficient and High-Fidelity On-the-Fly 3D Reconstruction with Structured Scene Representation

Paper • 2510.08551 • Published Oct 9 • 32
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention

Paper • 2510.04212 • Published Oct 5 • 23
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning

Paper • 2510.12693 • Published Oct 14 • 26

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Paper • 2508.06471 • Published Aug 8 • 192
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

Paper • 2508.14444 • Published Aug 20 • 38
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Paper • 2507.06261 • Published Jul 7 • 64
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16 • 272

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