
Akhil Arora (@akhilarora.bsky.social)
@aroraakhilcs
Asst Prof @csaudk | Fellow @CPH_SODAS • NLP | Agentic AI | Causality | Graph ML • Previous: @ICepfl @americanexpress @Xerox @Intel • 🥾🏔️🚴♂️🏋️♂️🎸
ID: 842624718
https://www.cs.au.dk/~clan/people/aarora 24-09-2012 00:07:18
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⏰ Reminder - Abstract submission deadline: T - 1 week away (March 17th, AoE) - Paper sbumission deadline: March 22nd, AoE 👉 gradesnda.github.io cc: Akhil Arora (@akhilarora.bsky.social) Stefania Dumbrava (@sdumbrava.bsky.social) SIGMOD/PODS 2025 Computer Science at Aarhus University ensIIE Télécom SudParis Olaf Hartig Semih Salihoğlu


Remember when Association for Computing Machinery was hanging out with us at CITP interviewing Veniamin Veselovsky + Manoel? The video is out now!🔻Watch the vid & read their paper 📰 "Prevalence and Prevention of Large Language Model Use in Crowd Work" >> cacm.acm.org/research/preva…


Thanks, Computer Science at Aarhus University for such a warm welcome. It's a pleasure to be here, the perfect place to establish the CLAN cs.au.dk/~clan/!!

🚨🚨 24 more hours to register your abstracts for the GRADES-NDA workshop SIGMOD/PODS 2025 Papers due March 30th 23:59 AoE 🚀 Submission link: easychair.org/conferences/?c… Other details: gradesnda.github.io Stefania Dumbrava (@sdumbrava.bsky.social) Akhil Arora (@akhilarora.bsky.social) Olaf Hartig Semih Salihoğlu Computer Science at Aarhus University


This is lit!! And a perfect example of building LLM agents for constructive use-cases. Thanks Ai2!! cc: Nearchos Potamitis Geet Khosla


Tired of manual prompt engineering to solve new task with your LLM? We introduce Joint Inference—a framework for fully unsupervised adaptation of large (vision) language models that often performs on par with supervised approaches 🔥 #ICLR2025 In collaboration with Amir Zamir








Thrilled to announce that our work “Fleet of Agents” has been accepted ICML Conference. On average, FoA boosts quality by ~5% while reducing costs to ~40% of SOTA baselines. Blog post after the Neurips deadline ;) Until then: Paper: arxiv.org/abs/2405.06691… Code: github.com/au-clan/FoA



