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Arkil Patel

@arkil.bsky.social
281 followers 401 following 9 posts

PhD Student at Mila and McGill | Research in ML and NLP | Past: AI2, MSFTResearch arkilpatel.github.io

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Reposted by Arkil Patel
Gaurav Kamath @grvkamath.bsky.social · 29/07/2025
Our new paper in #PNAS (bit.ly/4fcWfma) presents a surprising finding—when words change meaning, older speakers rapidly adopt the new usage; inter-generational differences are often minor. w/ Michelle Yang, ‪@sivareddyg.bsky.social‬ , @msonderegger.bsky.social‬ and @dallascard.bsky.social‬👇(1/12)
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Reposted by Arkil Patel
Xing Han Lu @xhluca.bsky.social · 15/04/2025
AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories We are releasing the first benchmark to evaluate how well automatic evaluators, such as LLM judges, can evaluate web agent trajectories.
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Arkil Patel @arkil.bsky.social · 02/04/2025
Thoughtology paper is out!! 🔥🐳 We study the reasoning chains of DeepSeek-R1 across a variety of tasks and find several surprising and interesting phenomena! Incredible effort by the entire team! 🌐: mcgill-nlp.github.io/thoughtology/
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Reposted by Arkil Patel
Parishad BehnamGhader @parishadbehnam.bsky.social · 12/03/2025
Instruction-following retrievers can efficiently and accurately search for harmful and sensitive information on the internet! 🌐💣 Retrievers need to be aligned too! 🚨🚨🚨 Work done with the wonderful Nick and @sivareddyg.bsky.social 🔗 mcgill-nlp.github.io/malicious-ir/ Thread: 🧵👇
mcgill-nlp.github.io
Exploiting Instruction-Following Retrievers for Malicious Information Retrieval
Parishad BehnamGhader, Nicholas Meade, Siva Reddy
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Arkil Patel @arkil.bsky.social · 10/03/2025
Llamas browsing the web look cute, but they are capable of causing a lot of harm! Check out our new Web Agents ∩ Safety benchmark: SafeArena! Paper: arxiv.org/abs/2503.04957
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Arkil Patel @arkil.bsky.social · 21/02/2025
Presenting ✨ 𝐂𝐇𝐀𝐒𝐄: 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐢𝐧𝐠 𝐬𝐲𝐧𝐭𝐡𝐞𝐭𝐢𝐜 𝐝𝐚𝐭𝐚 𝐟𝐨𝐫 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 ✨ Work w/ fantastic advisors Dima Bahdanau and @sivareddyg.bsky.social Thread 🧵:
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