Publications

LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search

Nikhil Abhyankar*, Sha Li*, Sanchit Kabra*, Naren Ramakrishnan, Yulia Gel, Chandan K. Reddy. Arxiv

LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs

Sanchit Kabra*, Nikhil Abhyankar*, Saaketh Desai, Prasad Iyer, Chandan K Reddy. 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

LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery

Nikhil Abhyankar*, Sanchit Kabra*, Saaketh Desai, Chandan K. Reddy. ICLR 2026

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers

Nikhil Abhyankar, Parshin Shojaee, Chandan K. Reddy. Transactions on Machine Learning Research (TMLR)

H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables

Nikhil Abhyankar, Vivek Gupta, Dan Roth, Chandan K. Reddy. NAACL 2025

Data Centric Defenses for Privacy Attacks

Nikhil Abhyankar. Virginia Tech

Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion

Si Chen, Feiyang Kang, Nikhil Abhyankar, Ming Jin, Ruoxi Jia. Transactions on Machine Learning Research (TMLR), July 2023

Exposing DeepFakes Using Convolutional Neural Networks and Transfer Learning Approaches

S. Suratkar, F. Kazi, M. Sakhalkar, N. Abhyankar and M. Kshirsagar. IEEE INDICON 2020