Stanford's Diyi Yang details NLP challenges for long-horizon and continual-learning workplace AI agents at ACL 2026

🔥 We'll close with a panel on the societal & economic impact of AI, featuring economists and researchers in NLP, economics and labor market! @erikbryn @Alex_M_Richmond

See you all there 🤩

Our tutorial on "Future of Work with AI Agents" is happening tomorrow 📍 July 2, 9:00–12:30 PT, San Diego #ACL2026

With Zora Wang @ZhiruoW Yijia Shao @EchoShao8899 , we'll cover: 1⃣The landscape of work agents: reality checks, key NLP challenges & open research questions 2⃣Building AI agents for work: harnesses for long-horizon tasks, continual-learning environments, training backbone LMs 3⃣Evaluating AI agents at work: datasets & metrics for lab and production, plus human-agent collaboration

Diyi is sharing a lot of insights! Now in Harbor A-C

Amazing to see a full room of people and got a lot of thought-provoking questions in our #ACL2026 tutorial on Future of Work with AI.

You can find the slides on our website (https://future-of-work-llm-tutorial.github.io/) and we will upload the recording once we have it.

@Diyi_Yang @ZhiruoW @EchoShao8899 That’s great! Will that be streamed or recorded?

@Diyi_Yang @ZhiruoW @EchoShao8899 This should provide some valuable insights. The challenges in AI for work agents are definitely worth discussing.

@Diyi_Yang @erikbryn @Alex_M_Richmond The reality check section is what matters. Most agent discourse ignores what breaks in production.