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Collections including paper arxiv:2507.18071

AI Paper of the Day

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

about 5 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

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315

This collection is a list of papers I find to be very interesting.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 301
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 210

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 242

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263

A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259
GUI-G^2: Gaussian Reward Modeling for GUI Grounding

Paper • 2507.15846 • Published Jul 21 • 133
ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents

Paper • 2507.22827 • Published Jul 30 • 99
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published Aug 25 • 208

important papers

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315

AI Paper of the Day

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

about 5 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

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 139
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 88

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 142
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315
Reinforcement Pre-Training

Paper • 2506.08007 • Published Jun 9 • 263

This collection is a list of papers I find to be very interesting.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 301
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 210

A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17 • 259
GUI-G^2: Gaussian Reward Modeling for GUI Grounding

Paper • 2507.15846 • Published Jul 21 • 133
ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents

Paper • 2507.22827 • Published Jul 30 • 99
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published Aug 25 • 208

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Paper • 2507.01006 • Published Jul 1 • 242

important papers

Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 315

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