Conference Papers

  • LLM-AutoSciLab overview
    NeurIPS 2026
    LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs
    Sanchit Kabra*, Nikhil Abhyankar, Saaketh Desai, Prasad Iyer, Chandan K. Reddy
    Neural Information Processing Systems (NeurIPS), 2026.
    arXiv PDF
  • LLM-ACES system overview
    NeurIPS 2026
    LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search
    Sanchit Kabra*, Nikhil Abhyankar*, Sha Li*, Naren Ramakrishnan, Yulia Gel, Chandan K. Reddy
    Neural Information Processing Systems (NeurIPS), 2026.
    arXiv PDF
  • ICML 2026
    DecAEvolve: Decompose, Adapt, and Evolve for Effective LLM-based Scientific Equation Discovery
    Pouya Behzadifar*, Parshin Shojaee*, Sanchit Kabra*, Kazem Meidani, Chandan K. Reddy
    International Conference on Machine Learning (ICML), 2026.
    PDF Code
  • LLEMA framework overview
    ICLR 2026
    Accelerating Materials Design via LLM-Guided Evolutionary Search
    Sanchit Kabra*, Nikhil Abhyankar*, Saaketh Desai, Chandan K. Reddy
    International Conference on Learning Representations (ICLR), 2026.
    arXiv PDF Project

Journal Papers

  • SurfaceBench benchmark overview
    TMLR
    SURFACEBENCH: Can Self-Evolving LLMs Find the Equations of 3D Scientific Surfaces?
    Sanchit Kabra, Shobhnik Kriplani, Parshin Shojaee, Chandan K. Reddy
    Transactions on Machine Learning Research (TMLR), 2026.
    arXiv PDF Code

Preprints

  • RUST-BENCH reasoning illustration
    arXiv
    RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables
    Nikhil Abhyankar, Purvi Chaurasia, Sanchit Kabra, Ananya Srivastava, Vivek Gupta, Chandan K. Reddy
    arXiv:2511.04491, 2025.
    arXiv PDF Code
  • ReGiFT fairness reasoning overview
    arXiv
    Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
    Sanchit Kabra, Akshita Jha, Chandan K. Reddy
    arXiv:2504.05632, 2025.
    arXiv PDF