🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Monday, December 2nd, check out Harsh Trivedi and our Geo Regional Asia group for a talk on "AppWorld: Reliable Evaluation of Interactive Agents in a World of Apps and People." 👥

My amazing coauthor Stephanie Milani will present our work at NeurIPS Conference!! Stop by to check how to build LLM applications for mental health training.

🚨 Happening today in 5 hours at Cohere For AI! 👉 Consider joining, especially, if you are interested in agentic code generation, tool use, digital automation, and careful environment & benchmark creation for language agents!

Training LMs on data with spurious correlations.

🚨 Reverse Thinking Makes LLMs Stronger Reasoners We can often reason from a problem to a solution and also in reverse to enhance our overall reasoning. RevThink shows that LLMs can also benefit from reverse thinking 👉 13.53% gains + sample efficiency + strong generalization!

Reverse Thinking (analogous to scene reconstruction) helps in reasoning. Check out the thread and the paper.

Excited to host the wonderful Mohit Bansal this Friday as part of our Distinguished Lecture Series. The broader @AI_SBU community, the #NLProc, and CV groups at Stony Brook University Dept. of Computer Science are looking forward to this. p.s. There will be no remote options for the talk unfortunately.

❓Is there any Python lib that can trace LLM calls' input/output + cost locally? It needs to work w/ many LLM provider & orchestrator libs w/o any code change 👉I know wandb/weave supports it by patching LLM libs, but I want a 100% local solution that doesn't require an API key

🚨 4th edition of the KAUST Rising Stars in AI Symposium Apply here: kaust.edu.sa/en/news/rising… We'll select the best PhD students, postdocs, early career faculty and industry researchers in AI to present their work at KAUST Deadline: December 18 Please share it widely!

🧵-1 We are thrilled to release #AgentLab, a new open-source package for developing and evaluating web agents. This builds on the new #BrowserGym package which supports 10 different benchmarks, including #WebArena.

I’ll be at Johns Hopkins next week, talking about privacy, memorization and language models! Join us!

Second last one of the year!

We (Peter Jansen ( @peterjansen-ai.bsky.social ), Bodhisattwa Majumder, tusharkhot, Harsh Trivedi, Tom Hope, Doug Downey, Eric Horvitz) are excited to announce the 📣1st Workshop on AI & Scientific Discovery Workshop (AISD), co-located with NAACL 2025. 📣 tinyurl.com/aisd25

🚨 I am on the faculty job market this year 🚨 I will be presenting at #NeurIPS2024 and am happy to chat in-person or digitally! I work on developing AI agents that can collaborate and communicate robustly with us and each other. My work covers 3 key problems👇 1⃣ Multi-agent +

I'm on the faculty market and at #NeurIPS!👩‍🏫 homes.cs.washington.edu/~niloofar/ I work on privacy, memorization, and emerging challenges in data use for AI. Privacy isn't about PII removal but about controlling the flow of information contextually, & LLMs are still really bad at this!

I always believe speech will be the default communication channel between humans and AI agents b/c talking is more efficient, and can convey way more information than text along. Can current audio LMs unlock this potential? To study this, we are launching a new platform Talk

I'm on the academic job market! I build AI systems that assist humans in complicated tasks (e.g. pattern discovery/automate software development), and focus on cases when their outputs are hard-to-explain or evaluate. I'll be at NeurIPS'24 from 12/10-12/15. Happy to catch up!

Excited to give an oral presentation of our work "Controllable Generation via Locally Constrained Resampling" @ #NeurIPS2024 SafeGenAI TL;DR We fix greedy constrained decoding using an ad hoc LLM approximation that we tractably condition on the constraint and reweighing samples

There are still a few days left to submit to the AI & Scientific Discovery Workshop at NAACL HLT 2025 ! Both archival and non-archival (i.e. submitted or published) works that you'd like to present to a highly interested audience welcome. ai-and-scientific-discovery.github.io