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research#llm📝 BlogAnalyzed: Jan 22, 2026 11:17

US-China AI Collaboration Flourishes: A Look at Cutting-Edge Research

Published:Jan 22, 2026 11:10
1 min read
Techmeme

Analysis

The increasing collaboration between US and Chinese AI labs signals a dynamic future for AI. This collaborative spirit, as evidenced by the analysis of NeurIPS papers, is pushing the boundaries of what's possible in the field. It's truly exciting to see the global community working together to advance AI!
Reference

“WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI's Codex to understand the areas where the US and China actually work together on AI research.”

PermalinkTechmeme
Research#llm🔬 ResearchAnalyzed: Dec 25, 2025 12:22

Stanford AI Lab Papers and Talks at ACL 2022

Published:May 25, 2022 07:00
1 min read
Stanford AI

Analysis

This article from Stanford AI highlights their contributions to the Association for Computational Linguistics (ACL) 2022 conference. It provides a list of accepted papers from the Stanford AI Lab (SAIL), along with author information, contact details, and links to the papers and related resources. The article covers a range of topics within natural language processing, including language model pretraining, the behavior of BERT models, embedding similarity measures, and abstractive summarization. The inclusion of contact information encourages direct engagement with the researchers, fostering collaboration and knowledge sharing within the NLP community. The article serves as a valuable resource for those interested in the latest research from Stanford AI in computational linguistics.
Reference

“We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below.”

PermalinkStanford AI
Research#llm🔬 ResearchAnalyzed: Dec 25, 2025 12:37

Stanford AI Lab Papers and Talks at AAAI 2022

Published:Feb 22, 2022 08:00
1 min read
Stanford AI

Analysis

This article from Stanford AI highlights their contributions to the AAAI 2022 conference. It provides a list of accepted papers from the Stanford AI Lab (SAIL), along with author information, contact details, and links to related resources like papers, videos, and blog posts. The topics covered range from multi-agent systems and reinforcement learning to remote sensing and software packages. The inclusion of contact information encourages direct engagement with the researchers. The variety of topics showcases the breadth of research being conducted at SAIL. The article serves as a valuable resource for those interested in the latest AI research from Stanford.
Reference

“We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below.”

PermalinkStanford AI