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Ankur Taly
Google - Explainable AI
Ankur Taly is a Staff Research Scientist at Google, where he has held various roles since 2012. Here are the key points about his background and work:
Current Role at Google
- Staff Research Scientist at Google Cloud (Jul. 2020 - present)
- Leads efforts to improve grounding and factuality of Large Language Models (LLMs) in Google Cloud
- Manages workstreams on post-hoc evaluation, guardrails, and recipes to enable factual generation
- Oversees human evaluations, citation generation, and auto raters for LLM quality evaluation
Previous Roles
- Head of Data Science at Fiddler Labs (May 2019 - Jul. 2020)
- Oversaw data science efforts and drove research on explainable AI methods
- Staff Research Scientist at Google Brain (May 2016 - May 2019)
- Developed methods like "Integrated Gradients" for attributing model predictions to input features
- Drove adoption of explainable AI across Google, available as a Cloud product and in open-source
- Senior Research Scientist at Google (May 2014 - May 2016)
- Worked on security and privacy models for IoT and distributed systems
Education
- Ph.D. from Stanford University (2012)
- BTech from IIT Bombay (2007)
Research Interests
- Explainability, machine learning, natural language processing, security, programming languages
Ankur Taly has published extensively in top-tier venues across these fields, with over 10,600 citations to his work.2 He has also received several awards, including an Outstanding Paper Award at the CD-MAKE conference in 2020.1
Highlights
Jun 26 · theory.stanford.edu
[PDF] Ankur Taly - Stanford CS Theory
Feb 5 · lab45thinktank.com
Why AI hallucinates and why it matters with Ankur Taly, scientist at ...
Feb 5 · youtube.com
Why AI hallucinates and why it matters! with Ankur Taly, scientist at ...