Arkil Patel @arkil_patel
CS PhD Student at Mila and McGill | Worked at AllenNLP and Microsoft Research arkilpatel.github.io Montréal, Québec Joined October 2016-
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Exciting news! We're thrilled to announce the appointment of Professor @hugo_larochelle as Mila's new Scientific Director! A deep learning pioneer and former head of Google's AI lab in Montreal, Hugo's leadership will be pivotal in advancing AI for the benefit of all. Read the…
Come by our #ACL2025 poster tomorrow to discuss the safety risks surrounding increasingly capable instruction-following retrievers (or anything safety related)! 16:00-17:30 on Tuesday in Hall 4/5
Come by our #ACL2025 poster tomorrow to discuss the safety risks surrounding increasingly capable instruction-following retrievers (or anything safety related)! 16:00-17:30 on Tuesday in Hall 4/5
Come and visit our poster on the Safety of Retrievers @aclmeeting 🗓️Tuesday, Findings Posters, 16:00-17:30 🚨Instruction-following retrievers will become increasingly good tools for searching for harmful or sensitive information.🚨
Come and visit our poster on the Safety of Retrievers @aclmeeting 🗓️Tuesday, Findings Posters, 16:00-17:30 🚨Instruction-following retrievers will become increasingly good tools for searching for harmful or sensitive information.🚨
@aryopg Nice work! We observed a similar trend on certain math tasks in our work: arxiv.org/abs/2504.07128 Section 4.1 has a discussion of our findings. You might want to consider citing it :) cc @saraveramarjano @arkil_patel @sivareddyg
If you’re at ICML and if you work on interpretability or causality, go talk to @_shruti_joshi_, she has a fantastic paper!
If you’re at ICML and if you work on interpretability or causality, go talk to @_shruti_joshi_, she has a fantastic paper!
Congrats @vernadankers!! We’re lucky to have you join our lab!
Congrats @vernadankers!! We’re lucky to have you join our lab!
I miss Edinburgh and its wonderful people already!! Thanks to @tallinzen and @PontiEdoardo for inspiring discussions during the viva! I'm now exchanging Arthur's Seat for Mont Royal to join @sivareddyg's wonderful lab @Mila_Quebec 🤩
I miss Edinburgh and its wonderful people already!! Thanks to @tallinzen and @PontiEdoardo for inspiring discussions during the viva! I'm now exchanging Arthur's Seat for Mont Royal to join @sivareddyg's wonderful lab @Mila_Quebec 🤩
"Build the web for agents, not agents for the web" This position paper argues that rather than forcing web agents to adapt to UIs designed for humans, we should develop a new interface optimized for web agents, which we call Agentic Web Interface (AWI).
Do LLMs hallucinate randomly? Not quite. Our #ACL2025 (Main) paper shows that hallucinations under irrelevant contexts follow a systematic failure mode — revealing how LLMs generalize using abstract classes + context cues, albeit unreliably. 📎 Paper: arxiv.org/abs/2505.22630 1/n
📢 New Paper! Tired 😴 of reasoning benchmarks full of math & code? In our work we consider the problem of reasoning for plot holes in stories -- inconsistencies in a storyline that break the internal logic or rules of a story’s world 🌎 W/ @melaniesclar, and @tsvetshop 1/n
A key reason RL for web agents hasn’t fully taken off is the lack of robust reward models. No matter the algorithm (PPO, GRPO), we can’t reliably do RL without a reward signal. With AgentRewardBench, we introduce the first benchmark aiming to kickstart progress in this space.
A key reason RL for web agents hasn’t fully taken off is the lack of robust reward models. No matter the algorithm (PPO, GRPO), we can’t reliably do RL without a reward signal. With AgentRewardBench, we introduce the first benchmark aiming to kickstart progress in this space.
@iclr_conf many many many thanks to @kchonyc and @Yoshua_Bengio for enabling the wildest ever start of my research career 2014 was a very special time to do deep learning, a commit that changes 50 lines of code could give you a ToT award 10 years later 😲
DeepSeek-R1 Thoughtology now #2 on @huggingface daily papers Thanks for building this great platform for sharing new papers @_akhaliq
DeepSeek-R1 Thoughtology now #2 on @huggingface daily papers Thanks for building this great platform for sharing new papers @_akhaliq https://t.co/FTjVpTEx88
DeepSeek-R1 Thoughtology: Let’s <think> about LLM reasoning 142-page report diving into the reasoning chains of R1. It spans 9 unique axes: safety, world modeling, faithfulness, long context, etc.
I think one of the most underrated sources of insight in research is just looking at the model's outputs. The Thoughtology paper is what happens when an entire lab of grad students at Mila do this cumbersome task for R1's CoT and actually quantifies all the patterns we saw.
I think one of the most underrated sources of insight in research is just looking at the model's outputs. The Thoughtology paper is what happens when an entire lab of grad students at Mila do this cumbersome task for R1's CoT and actually quantifies all the patterns we saw.
Thoughtology is trending today on hf daily papers! Read our paper for a detailed analysis of R1’s long chains of thoughts across a variety of settings. huggingface.co/papers/2504.07…
Thoughtology is trending today on hf daily papers! Read our paper for a detailed analysis of R1’s long chains of thoughts across a variety of settings. huggingface.co/papers/2504.07…

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