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Chirag Agarwal

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

32

Venues

16

Active years

2015–2026

Best venue rank

A*

Where they publish

Papers

32 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAITowards Trustworthy Multimodal AI Systems.Chirag Agarwal
2026AAAIPolarity-Aware Probing for Quantifying Latent Alignment in Language Models.Sabrina Sadiekh, Elena Ericheva, Chirag Agarwal
2026ACLA Mechanistic Perspective and Difficulty Metric for Unlearning.Jiali Cheng, Ziheng Chen, Chirag Agarwal, Hadi Amiri
2026ACLCURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning.Eric Onyame, Akash Ghosh, Subhadip Baidya, Sriparna Saha, Xiuying Chen, Chirag Agarwal
2026ACLA Graph Talks, But Who's Listening? Rethinking Evaluations for Graph-Language Models.Soham Petkar, Hari Aakash K, Anirudh Vempati, Akshit Sinha, Ponnurangam Kumaraguru, Chirag Agarwal
2026ACLTowards Understanding the Robustness of Sparse Autoencoders.Ahson Saiyed, Sabrina Sadiekh, Chirag Agarwal
2026IUIImproving Human Verification of LLM Reasoning through Interactive Explanation Interfaces.Runtao Zhou, Giang Nguyen, Nikita Kharya, Anh Nguyen, Chirag Agarwal
2025EMNLPA Survey of Multilingual Reasoning in Language Models.Akash Ghosh, Debayan Datta, Sriparna Saha, Chirag Agarwal
2025EMNLPEGOILLUSION: Benchmarking Hallucinations in Egocentric Video Understanding.Ashish Seth, Utkarsh Tyagi, Ramaneswaran Selvakumar, Nishit Anand, Sonal Kumar, Sreyan Ghosh, Ramani Duraiswami, Chirag Agarwal, Dinesh Manocha
2025NAACLTowards Operationalizing Right to Data Protection.Abhinav Java, Simra Shahid, Chirag Agarwal
2025NAACLOn the Impact of Fine-Tuning on Chain-of-Thought Reasoning.Elita A. Lobo, Chirag Agarwal, Himabindu Lakkaraju
2025NAACLAnalyzing Memorization in Large Language Models through the Lens of Model Attribution.Tarun Ram Menta, Susmit Agrawal, Chirag Agarwal
2024AIESOn the Trade-offs between Adversarial Robustness and Actionable Explanations.Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
2024AISTATSQuantifying Uncertainty in Natural Language Explanations of Large Language Models.Sree Harsha Tanneru, Chirag Agarwal, Himabindu Lakkaraju
2024CVPRActive Transferability Estimation.Tarun Ram Menta, Surgan Jandial, Akash Patil, Saketh Bachu, Vimal K. B., Balaji Krishnamurthy, Vineeth N. Balasubramanian, Mausoom Sarkar, Chirag Agarwal
2024ICMLUnderstanding the Effects of Iterative Prompting on Truthfulness.Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
2023CVPRDeAR: Debiasing Vision-Language Models with Additive Residuals.Ashish Seth, Mayur Hemani, Chirag Agarwal
2023ICLRGNNDelete: A General Strategy for Unlearning in Graph Neural Networks.Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik
2023ICLRExplaining RL Decisions with Trajectories.Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian
2023SIGIRExplain Like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation.Michael Llordes, Debasis Ganguly, Sumit Bhatia, Chirag Agarwal
2022AISTATSProbing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.Chirag Agarwal, Marinka Zitnik, Himabindu Lakkaraju
2022AISTATSExploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, Himabindu Lakkaraju
2022CVPREstimating Example Difficulty using Variance of Gradients.Chirag Agarwal, Daniel D'souza, Sara Hooker
2021ICMLTowards the Unification and Robustness of Perturbation and Gradient Based Explanations.Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju
2021UAITowards a unified framework for fair and stable graph representation learning.Chirag Agarwal, Himabindu Lakkaraju, Marinka Zitnik
2020ACCVExplaining Image Classifiers by Removing Input Features Using Generative Models.Chirag Agarwal, Anh Nguyen
2020CVPRSAM: The Sensitivity of Attribution Methods to Hyperparameters.Naman Bansal, Chirag Agarwal, Anh Nguyen
2020CVPRSAM: The Sensitivity of Attribution Methods to Hyperparameters.Naman Bansal, Chirag Agarwal, Anh Nguyen
2020ICIPDEEP-URL: A Model-Aware Approach to Blind Deconvolution Based on Deep Unfolded Richardson-Lucy Network.Chirag Agarwal, Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian, Dan Schonfeld
2019ICIPImproving Robustness to Adversarial Examples by Encouraging Discriminative Features.Chirag Agarwal, Anh Nguyen, Dan Schonfeld
2017VCIPConvolutional neural network steganalysis's application to steganography.Mehdi Sharifzadeh, Chirag Agarwal, Mohammed Aloraini, Dan Schonfeld
2015FMCADCompositional Reasoning Gotchas in Practice.Chirag Agarwal, Paul Hylander, Yogesh Mahajan, Jonathan Michelson, Vigyan Singhal