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Chirag Agarwal
@_cagarwal
Assistant Professor @UVA; PI of Aikyam Lab; Prev - @Harvard, @Adobe @BoschGlobal @thisisUIC ; Increasing the sample size of my thoughts
chirag-agarwall.github.io
Joined November 2013
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    Chirag Agarwal
    @_cagarwal
    Apr 10
    I am absolutely thrilled to announce that four research papers from our group + collaborations have been accepted to ACL 2026, covering critical areas of Reasoning, Interpretability, Safety, Multimodal AI, and Model Unlearning. Huge congratulations to all the authors and
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    Chirag Agarwal
    @_cagarwal
    May 28, 2024
    Excited to share that I am joining @UVA @uvadatascience as an Assistant Professor this Fall. I'm thankful to all my mentors, collaborators, friends, and family! I will be recruiting students for Fall 2025! Stay tuned for more information.
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    Chirag Agarwal
    @_cagarwal
    Aug 27, 2022
    Excited to introduce GraphXAI - a general-purpose framework that provides an ecosystem of XAI-ready synthetic and real-world graph datasets with ground-truth explanations, a visualizer, and a set of evaluation metrics to benchmark the quality of any given GNN explanation. [1/N]
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    Chirag Agarwal
    @_cagarwal
    Jan 24, 2022
    Update! I'm very happy to be joining @AdobeResearch as a Research Scientist. Looking forward to working with this great team.
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    Chirag Agarwal
    @_cagarwal
    May 3, 2022
    Our paper on Estimating Example Difficulty Using VoG is accepted at @CVPR'22. Downloadable scores, IPython notebook, and more details are available at varianceofgradients.github.io Joint work with @mrdanieldsouza & @sarahookr, and thanks to feedback from @ml_collective members [1/n]
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    Chirag Agarwal
    @_cagarwal
    Mar 21, 2022
    Our team at Adobe MDSR Lab has multiple openings for Research Scientists interested in Language Understanding, Data Science, and Computer Vision. Apply to work in a great team and work culture. Feel free to DM me with any questions! Link: bit.ly/3qjP7fw
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    Chirag Agarwal
    @_cagarwal
    Oct 31, 2024
    On this beautiful occasion of Diwali πŸͺ”, I am happy to announce that our lab will recruit 1-2 PhD students in @uvadatascience for Fall 2025! Our group works on developing Scalable XAI and Trustworthy Algorithms for AI Alignment and Safety. Visit chirag-agarwall.github.io for
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    Chirag Agarwal
    @_cagarwal
    Jan 21, 2023
    Our papers on Graph Unlearning and Explaining RL Decisions with Trajectories are accepted at ICLR'23!! πŸ₯³ Thanks to all the collaborators. More details to follow soon.
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    Chirag Agarwal
    @_cagarwal
    Dec 11, 2024
    Join us at the #RegulatableML workshop at #NeurIPS2024 to learn about AI regulations and how to operationalize them in practice. πŸ—“οΈ Date: Dec 15, 2024 (East Meeting Room 13) πŸ•“ Time: 8:15 am - 5:30 pm πŸ”— Details: regulatableml.github.io We have an exciting schedule: ⭐️ Six
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    Chirag Agarwal
    @_cagarwal
    Feb 28, 2023
    Super excited to announce the acceptance of DeAR -- a framework for Debiasing Vision-Language Models using Additive Residuals to @CVPR'23! More details coming soon⏳ For now, here is a teaser image of the multiple things DeAR can accomplish.
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    Chirag Agarwal
    @_cagarwal
    Nov 23, 2020
    The complete video recording of this panel discussion and Q&A is now available on Youtube thanks to popular demand. Link: youtu.be/z6TkkdlRWcU @hima_lakkaraju @adityagrover_ @JaydeepBorkar @trustworthy_ml [1/n]
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    π™·πš’πš–πšŠ π™»πšŠπš”πš”πšŠπš›πšŠπš“πšž
    @hima_lakkaraju
    Nov 19, 2020
    We are organizing a panel discussion/Q&A on β€œDemystifying ML PhD Applications to US Universities” with faculty spanning various universities this Saturday at 9am PT/12pm ET. Please register at hbs.zoom.us/webinar/regist… to attend. #AI #ML #AcademicTwitter [1/n]
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    Chirag Agarwal
    @_cagarwal
    Dec 12, 2023
    I am on the academic job market and interested in discussing potential opportunities at @NeurIPSConf. I will present some recent works: 1) Are LLMs Post Hoc Explainers? and 2) Quantifying Uncertainty in LLM explanations (Spotlight@R0-FoMo workshop) & organizing the RegML workshop
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    Chirag Agarwal
    @_cagarwal
    Mar 2, 2022
    Excited to share our latest @aistats_conf and @CVPR papers: 1. A Theoretical & Empirical Analysis of GNN Explainers. 2. Exploring Counterfactual Explanations Through the Lens of Adversarial Examples. 3. Estimating Example Difficulty using Variance of Gradients. More details soon!
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    Chirag Agarwal
    @_cagarwal
    Jun 12, 2020
    Replying to @anh_ng8 and @ICLR2020
    We need to start addressing that research is not just about ground-breaking work but about taking small/big steps in the right direction.