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Siddharth Srivastava

@sidsrivast.bsky.social
103 followers 36 following 2 posts

Associate Professor at ASU. Research focus on safe and reliable AI and robotics; systems that learn generalizable knowledge for long-term planning and reasoning. siddharthsrivastava.net

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Siddharth Srivastava @sidsrivast.bsky.social · 24/04/2025
If you’re at #ICLR2025 consider stopping by our poster being presented by @danielrbramblett.bsky.social this Friday! We present new methods for objective evaluation of truth maintenance in LLM and LRM translation tasks using formal verifiers, overcoming the need for labeled datasets.
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Rashmeet Kaur Nayyar @rashmeet.bsky.social · 22/02/2025
🚀 Join us for the #GenPlan workshop on March 4th in Philadelphia at #AAAI2025! Learn about generalization in sequential decision-making in AI from an incredible lineup of invited speakers. Don’t miss out — Check out the full program schedule here: aair-lab.github.io/genplan25/in...
aair-lab.github.io
GenPlan: Generalization in Planning | AAAI 2025
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Pulkit Verma @pulkitverma.bsky.social · 22/02/2025
#AAAI2025 is almost here! I’ll co-organize a tutorial with @sidsrivast.bsky.social on User-Driven Capability Assessment of Taskable AI Systems. The schedule is now live, so mark your calendars! 📅 26 February 2025 📍Room 115A, Pennsylvania Convention Center 🔗 bit.ly/aia25-tutorial
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Pulkit Verma @pulkitverma.bsky.social · 18/01/2025
Excited to organize a half-day tutorial at #AAAI2025 on User-Driven Capability Assessment of Taskable AI Systems with @sidsrivast.bsky.social. 📅 26 February 2025 ⏱️ 8:30 AM - 12:30 PM EST 📍 AAAI 2025, Philadelphia, USA 🔗 bit.ly/aia25-tutorial (1/3)
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Siddharth Srivastava @sidsrivast.bsky.social · 11/12/2024
Looking fwd to meetups at #NeurIPS ‘24! @danielrbramblett.bsky.social will be presenting some of our work on user-aligned AI systems that operate reliably under partial observability. Consider stopping by during the Wednesday afternoon poster session (poster 6505)!
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Chris Amato @cjdamato.bsky.social · 09/12/2024
@louiseadennis.bsky.social and I are program chairs for #AAMAS2026. I'm looking to try some new ideas for the reviewing process. Any ideas about some of your favorite (or least favorite) things other conferences have tried?
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