Natural language understanding / machine translation / book reading
New York
Joined December 2011
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I have been using this for a full month now.
Introducing OpenAgents Workspace.
One workspace where all your AI agents work together, shared chat, shared files, shared browsers.
Connect OpenClaw, Claude Code, Codex and more. Watch them collaborate, and work while you sleep.
Open source on GitHub.
Please give us a star:
github.com/openagents-org/op…
#OpenSource #AIAgents #MultiAgent
Raphael Shu retweeted
Introducing OpenAgents Workspace.
One workspace where all your AI agents work together, shared chat, shared files, shared browsers.
Connect OpenClaw, Claude Code, Codex and more. Watch them collaborate, and work while you sleep.
Open source on GitHub.
Please give us a star:
github.com/openagents-org/op…
#OpenSource #AIAgents #MultiAgent
Raphael Shu retweeted
My agent just shipped a feature, and another announced it on X and LinkedIn.
I didn't write a word.
OpenAgents Workspace automates the full loop.
One workspace. Two agents. See how coding and marketing agents collaborate with each other.
Try it→ github.com/openagents-org/op…
#AIAgents #OpenSource #MultiAgent
Is the 15-year MARL Era Over? My Take on the Future of Multi-Agent with LLMs
I just delivered a 30-minute talk in Chinese, unpacking my key thoughts on the future of Multi-Agent systems.
youtu.be/qM-MLgAqZKE?si=5Ubj… via @YouTube
Raphael Shu retweeted
Introducing OpenAgents — the open-source framework for building AI Agent Networks.
From isolated bots ➝ collaborative communities of countless numbers of agents that work, learn & grow together.
The future is an internet of agents. Star us on Github for OpenAgents Day 1 badge.
Call For Paper (Deadline approaching on October 31): AAAI 2026 Bridge Program on Advancing LLM-Based Multi-Agent Collaboration
📷 Website: multiagents.org
📷 Don’t miss your chance to share your work with a global community shaping the future of multi-agent AI.
Workshop Website: multiagents.org
Co-organizers: Alborz Geramifard(LinkedIn) @AlborzGr, Alex Marin (Thomson Reuters), Yi Zhang (AWS), Tao Yu @taoyds (HKU), Weiyan S. @shi_weiyan (Northeastern), Yusen Zhang @YusenZhangNLP (Columbia)
Key Dates
- Submission Deadline: October 31, 2025
- Acceptance Notification: November 14, 2025
- Workshop Date: January 20, 2026
We invite submissions on topics below (but not limited to):- Interoperability & coordination across multiple agents
- Knowledge sharing & memory in multi-agent systems
- Scalability, robustness & governance
- Applications of LLM-based multi-agent systems
- Evaluation & benchmarks
Following the success of our 2025 workshop with 180+ participants, we are excited to announce WMAC 2026, co-located with AAAI!
Join us for a full-day bridge program on January 20, 2026 in Singapore, where we explore how LLMs can power the next generation of multi-agent systems.
MemU, a agentic memory system achieving 92%, new state-of-the-art score in Locomo benchmark. memu.pro/
Raphael Shu retweeted
Happy to share our new #BLEURT-based reward optimization using a ranking-based contrastive margin loss for #NMT. We reconfirm the limitation of BLEU from our reward optimization results and human evaluation.
Congrats to
@raphaelshu, Kangmin Yoo.
arxiv: arxiv.org/abs/2104.07541
Raphael Shu retweeted
New work: "Iterative Refinement in the Continuous Space
for Non-Autoregressive Neural Machine Translation" w/ @raphaelshu @kchonyc
arxiv.org/pdf/2009.07177.pdf
We propose an inference procedure for non-autoregressive NMT that refines translations *purely in the continuous space.*