publications

publications by categories in reversed chronological order.
* denotes equal contribution.

2026

  1. AISTATS
    GiVA: Gradient-Informed Bases for Vector-Based Adaptation
    Neeraj Gangwar, Rishabh Deshmukh, Michael Shavlovsky, Hancao Li, Vivek Mittal, Lexing Ying, and Nickvash Kani
    (To appear) International Conference on Artificial Intelligence and Statistics (2026)
    Spotlight (top 2.5%)
  2. AISTATS
    Parameter-Efficient Multi-Task Learning via Progressive Task-Specific Adaptation
    Neeraj Gangwar, Anshuka Rangi, Rishabh Deshmukh, Holakou Rahmanian, Yesh Dattatreya, and Nickvash Kani
    (To appear) International Conference on Artificial Intelligence and Statistics (2026)
    arXiv

2025

  1. Preprint
    Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models
    Neeraj Gangwar, Suma Bhat, and Nickvash Kani
    arXiv preprint arXiv:2502.12855 (2025)
    arXiv Code
  2. NAACL
    E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions
    Hongbo Zheng*, Suyuan Wang*, Neeraj Gangwar, and Nickvash Kani
    Nations of the Americas Chapter of the Association for Computational Linguistics (2025)
    arXiv ACL Anthology

2024

  1. MATH-AI
    Intermediate Fine-Tuning Improves Mathematical Reasoning in Smaller Models
    Neeraj Gangwar, Suma Bhat, and Nickvash Kani
    Workshop on Mathematical Reasoning and AI (Math-AI) at NeurIPS (2024)
    Code OpenReview

2023

  1. TMLR
    Semantic Representations of Mathematical Expressions in a Continuous Vector Space
    Neeraj Gangwar, and Nickvash Kani
    Transactions on Machine Learning Research (2023)
    arXiv Code OpenReview
  2. CICM
    Highlighting Named Entities in Input for Auto-formulation of Optimization Problems
    Neeraj Gangwar, and Nickvash Kani
    International Conference on Intelligent Computer Mathematics (2023)
    arXiv Code Springer