Kowndinya Renduchintala

Research Associate II, Media and Data Science Research (MDSR) Lab, Adobe Inc.

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Hey, there! I am a pre-doctoral researcher in the Media and Data Science Research (MDSR) lab at Adobe. Broadly, I’m interested in:

  • Advancing our scientific understanding of Language Models, and leveraging the insights to train better models that are more robust, interpretable and generalizable.
  • Advancing research on leveraging insights from human cognition to build better AI, as well as revealing more insights about human cognition using AI (e.g., using interpretability methods).

My past research explored diverse facets of language models including efficient pre-training, data mixing for instruction tuning, measuring prompt sensitivity, and more recently, alternative loss functions for instruction tuning.

Prior to joining Adobe, I graduated from the Indian Institute of Technology Bombay (IIT Bombay) in 2023, with a Bachelors degree (with Honors) in Computer Science and Engineering, where I was advised by Prof. Ganesh Ramakrishnan and Prof. Rishabh Iyer.

My long-term research goal is to develop Provably Beneficial Artificial Intelligence.

If you share an interest in these topics and would like to exchange research ideas, please do not hesitate to contact me via e-mail.

news Speaker

Oct, 2025 Our TACL article, On the Effect of Instruction Tuning Loss on Generalization, has been published on MIT Press!!
Jul, 2025 Our work, On the Effect of Instruction Tuning Loss on Generalization, has been accepted to the Transactions of the Association for Computational Linguistics (TACL)!!
May, 2025 Had a wonderful time at NAACL 2025 in Albuquerque, New Mexico :smiley: - also my first time visiting the US! :blush:
Nov, 2024 Couldn’t present POSIX (in-person) at EMNLP 2024 in Miami, due to delays in visa processing :disappointed:
Sep, 2024 POSIX: A Prompt Sensitivity Index for Large Language Models has been accepted to EMNLP 2024 (Findings)!
Aug, 2024 Presented SMART in person at ACL 2024 in Bangkok :smiley:
Jul, 2024 Got promoted to Research Associate 2
May, 2024 SMART: Submodular Data Mixtures for Instruction Tuning has been accepted to ACL 2024 (Findings)
Dec, 2023 Presented INGENIOUS in person at EMNLP 2023 in Singapore :smiley:
Oct, 2023 INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models has been accepted to the EMNLP 2023 (Findings)
Aug, 2023 Graduated from the Indian Institute of Technology Bombay (IIT Bombay) with a Bachelors degree (with Honors) in Computer Science and Engineering
Jul, 2023 Joined Media and Data Science Research (MDSR) Lab, Adobe Inc. as a Research Associate!
Sep, 2022 Got offered a full-time role at Media and Data Science Research (MDSR) Lab, Adobe Inc. as a Research Associate
May, 2022 Joined Media and Data Science Research (MDSR) Lab, Adobe Inc. as a Research Intern
Sep, 2021 Got offered a research internship at Media and Data Science Research (MDSR) Lab, Adobe Inc.
Aug, 2020 Secured a Change of Major to Computer Science and Engineering based on my performance in the first year at IIT Bombay
Jul, 2019 Joined the Indian Institute of Technology Bombay (IIT Bombay) as an Undergraduate