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papers

Publications (23)

cs.LG2023

Interpretable Mixture of Experts

Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon +3

cs.CL2024

Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)

Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly

cs.LG2017

Axiomatic Attribution for Deep Networks

Mukund Sundararajan, Ankur Taly, Qiqi Yan

cs.CL2025

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

Zilong Wang, Zifeng Wang, Long Le +9

cs.LG2025

An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning

Andrew Bai, Chih-Kuan Yeh, Cho-Jui Hsieh +1

cs.AI2023

Identifying and Mitigating the Security Risks of Generative AI

Clark Barrett, Brad Boyd, Elie Burzstein +20

cs.HC2021

A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms

Ana Lucic, Madhulika Srikumar, Umang Bhatt +4

cs.CL2017

Abductive Matching in Question Answering

Kedar Dhamdhere, Kevin S. McCurley, Mukund Sundararajan +1

cs.CL2025

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

cs.CL2025

Sufficient Context: A New Lens on Retrieval Augmented Generation Systems

Hailey Joren, Jianyi Zhang, Chun-Sung Ferng +3

cs.LG2016

Gradients of Counterfactuals

Mukund Sundararajan, Ankur Taly, Qiqi Yan

cs.LG2020

Explainable Machine Learning in Deployment

Umang Bhatt, Alice Xiang, Shubham Sharma +7

cs.LG2020

The Explanation Game: Explaining Machine Learning Models Using Shapley Values

Luke Merrick, Ankur Taly

cs.LG2022

First is Better Than Last for Language Data Influence

Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan +2

cs.LG2019

Counterfactual Fairness in Text Classification through Robustness

Sahaj Garg, Vincent Perot, Nicole Limtiaco +3

cs.LG2018

It was the training data pruning too!

Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan +1

cs.LG2020

Property Inference for Deep Neural Networks

Divya Gopinath, Hayes Converse, Corina S. Pasareanu +1

cs.LG2019

Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry

Kevin McCloskey, Ankur Taly, Federico Monti +2

cs.LG2018

A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values

Mukund Sundararajan, Ankur Taly

cs.LG2021

Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice

David Watson, Limor Gultchin, Ankur Taly +1

cs.CL2018

Did the Model Understand the Question?

Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan +1

cs.CR2017

Privacy, Discovery, and Authentication for the Internet of Things

David J. Wu, Ankur Taly, Asim Shankar +1

cs.CR2016

Distributed Authorization in Vanadium

Andres Erbsen, Asim Shankar, Ankur Taly