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General Information

Full Name Pranjal Aggarwal
Date of Birth 20th April 2001
Languages English, Hindi

Education

  • 2024-Present
    Ph.D. in Language Technologies
    School of Computer Science, Carnegie Mellon University
  • 2019-2024
    Dual Degree (B.Tech. + M.Tech.) in Computer Science
    Indian Institute of Technology Delhi
    • {"GPA"=>"9.4/10"}

Experience

  • Aug 2024 - Present
    Ph.D. Student
    Carnegie Mellon University, Advisor - Prof. Sean Welleck
    • Developing methods for generating formally verified code using iterative refinement techniques using inference-time search and reinforcement learning algorithms guided by dense feedback.
    • Developing multimodal code agents capable of interacting with unified action spaces, including images and keyboard actions over long horizon tasks.
  • Dec 2022 - Jun 2024
    Undergraduate Researcher
    Data Analytics & Intelligence Lab, IIT Delhi, Advisor - Prof. Mausam
    • Improved efficiency and performance in reasoning and code generation tasks for large language models.
    • Developed cost-quality optimization methods using few-shot self verification and POMDP based routing enabling state-of-the-art control on costs-performance tradeoff.
  • Jun 2022 - Aug 2022
    NLP Research Intern
    Princeton University, Advisor - Prof. Karthik Narasimhan
    • Developed a state-of-the-art method for zero-shot extreme classification (with 1M+ unseen labels).
    • Published a survey and research paper on reinforcement learning from human feedback in LLMs.
    • Proposed black-box optimization techniques for content creators in the era of language models augmented with search engines; introduced evaluation metrics and benchmarks to foster future research.
  • Jul 2021 - Mar 2022
    Undergraduate Researcher
    CV Lab, IIT Delhi, Advisor - Prof. Chetan Arora
    • Developed an object-localization method for malignant cancer detection using mammogram images.

Honors and Awards

  • 2023
    • Winner, Model Attribution Challenge at SaTML 2023
  • 2022
    • First Place, Tower Research Capital Data Challenge
  • 2020
    • Winner, HackMIT Sponsor Track
  • Various
    • Google and Microsoft Research Travel Grants
    • All India Rank 143 in IIT JEE-Advanced 2019 among 2 million candidates nationwide
    • Selected among top 50 students nationwide for the Orientation-Cum-Selection Camp (OCSC) for the International Olympiad in Astronomy and Astrophysics
    • Received the IIT Delhi Semester Merit Award (top 7%) in 4 out of 8 semesters
    • Ranked 303rd in KVPY'19, a prestigious science examination conducted by the Indian Institute of Science, Bangalore

Academic Interests

  • Research Interests
    • Code Generation and Formal Verification
    • Inference time search for Reasoning
    • Multimodal Agents

Academic Service

  • Reviewer: EMNLP 2023, ACL 2024, KDD 2024, NeurIPS 2024, EMNLP 2024
  • Outstanding Teaching Assistant Award, Natural Language Processing (Graduate Level), Spring 2023-2024
  • Teaching Assistant, Principles of Artificial Intelligence (Graduate Level), Fall 2023-2024
  • Academic Mentor, Electrodynamics and Quantum Mechanics, Fall 2020-2021
  • Volunteer at ACL 2023, ICML 2023, EMNLP 2023