Siddhartha Mishra

ML Researcher at Palantir

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I’m a Machine Learning Researcher at Palantir working on improving agentic and retrieval-augmented workflows with Large Language Models (LLMs). My research interests are in the intersection of Natural Language Processing and Machine Learning. Recently, I have been interested in evaluation frameworks, structured prediction, and efficiency in LLMs.

Previously, I was an Applied scientist intern at Amazon Alexa AI - NLU and an Analyst at Goldman Sachs. I was supervised by Prof. Andrew McCallum during my grad school at UMass NLP. I also did my Bachelor’s in Computer Science at Indian Institute of Technology, Hyderabad, where I worked on Bayesian Machine Learning and Natural Language Processing with Prof. Srijith P.K..

News

Jan 13, 2023 Started a new position as a founding member of the Palantir NLP research team
Jun 2, 2022 Started an Applied Scientist Internship at Amazon Alexa AI NLU
Feb 25, 2022 Presented a poster at AAAI 2022

Selected Publications

  1. EMNLP
    Benchmarking Generalization via In-Context Instructions on 1,600+ Language Tasks
    Wang, Yizhong, Mishra, Swaroop, Alipoormolabashi, Pegah,  Mishra, Siddhartha, and others,
    2022
  2. ACL
    Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings
    Dasgupta, Shib, Boratko, Michael,  Mishra, Siddhartha, Atmakuri, Shriya, Patel, Dhruvesh, Li, Xiang, and McCallum, Andrew
    In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2022
  3. AAAI
    An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity
    Mishra, Siddhartha, Monath, Nicholas, Boratko, Michael, Kobren, Ari, and McCallum, Andrew
    In Proceedings of the AAAI Conference on Artificial Intelligence 2022

Service

Reviewer

NAACL 2025, ICLR 2025, NeurIPS 2024, EMNLP 2024, ACL 2023, AAAI 2023, EMNLP 2022

Teaching Assistant

Machine Learning (Fall 2021), Statistics (Spring 2019), Computer Networks (Fall 2018), Probability (Fall 2017).