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Collections including paper arxiv:2501.15383

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

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 152

Source Papers of LLM Giants

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Paper • 2311.07919 • Published Nov 14, 2023 • 10
Qwen2 Technical Report

Paper • 2407.10671 • Published Jul 15, 2024 • 167
Qwen2-Audio Technical Report

Paper • 2407.10759 • Published Jul 15, 2024 • 63

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 152

The long-context version of Qwen2.5, supporting 1M-token context lengths

Qwen/Qwen2.5-14B-Instruct-1M

Text Generation • 15B • Updated Jan 29 • 12.2k • • 330
Qwen/Qwen2.5-7B-Instruct-1M

Text Generation • 8B • Updated Jan 29 • 41.1k • • 358
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72

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

Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 152
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4 • 103
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 301
Towards Best Practices for Open Datasets for LLM Training

Paper • 2501.08365 • Published Jan 14 • 63
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72

EuroBERT: Scaling Multilingual Encoders for European Languages

Paper • 2503.05500 • Published Mar 7 • 79
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 429
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72
Baichuan-Omni-1.5 Technical Report

Paper • 2501.15368 • Published Jan 26 • 61

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 107
Are Vision-Language Models Truly Understanding Multi-vision Sensor?

Paper • 2412.20750 • Published Dec 30, 2024 • 20
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Paper • 2412.21187 • Published Dec 30, 2024 • 40
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Paper • 2412.18925 • Published Dec 25, 2024 • 104

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

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 152

Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 152
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72

Source Papers of LLM Giants

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Paper • 2311.07919 • Published Nov 14, 2023 • 10
Qwen2 Technical Report

Paper • 2407.10671 • Published Jul 15, 2024 • 167
Qwen2-Audio Technical Report

Paper • 2407.10759 • Published Jul 15, 2024 • 63

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4 • 103
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 301
Towards Best Practices for Open Datasets for LLM Training

Paper • 2501.08365 • Published Jan 14 • 63
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72

Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 152

EuroBERT: Scaling Multilingual Encoders for European Languages

Paper • 2503.05500 • Published Mar 7 • 79
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 429
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72
Baichuan-Omni-1.5 Technical Report

Paper • 2501.15368 • Published Jan 26 • 61

The long-context version of Qwen2.5, supporting 1M-token context lengths

Qwen/Qwen2.5-14B-Instruct-1M

Text Generation • 15B • Updated Jan 29 • 12.2k • • 330
Qwen/Qwen2.5-7B-Instruct-1M

Text Generation • 8B • Updated Jan 29 • 41.1k • • 358
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 107
Are Vision-Language Models Truly Understanding Multi-vision Sensor?

Paper • 2412.20750 • Published Dec 30, 2024 • 20
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Paper • 2412.21187 • Published Dec 30, 2024 • 40
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Paper • 2412.18925 • Published Dec 25, 2024 • 104

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