Saraswathy Amjith

In-Context Learning for Esoteric Programming Languages: Evaluating and Enhancing LLM Reasoning Without Fine-Tuning

Amjith, S., Kolla, A., Wang, M., Lynch, J., & Thompson, N.

DL4C @ NeurIPS 2025

Investigating how large language models can reason about and generate code in esoteric programming languages through in-context learning, without requiring fine-tuning.

Paper

A Novel Integrated ML Approach Utilizing Radar & Satellite Imagery for Selective Logging Detection

Amjith, S. & Fan, J.

TCCML @ NeurIPS 2025 Regeneron STS Finalist 2024

A multimodal deep learning approach integrating radar and satellite imagery to detect illegal selective logging activities with high accuracy.

Paper

Flawed Chain-of-Thought Reinforcement Learning Training for Mathematical Reasoning

Amjith, S., Dusad, M., Muramalla, M., & Shah, S.

Preprint

Teaching models to identify and recover from flawed reasoning chains using reinforcement learning techniques to improve mathematical problem-solving capabilities.

Paper

hey! i'm saraswathy amjith

Papers

In-Context Learning for Esoteric Programming Languages: Evaluating and Enhancing LLM Reasoning Without Fine-Tuning

A Novel Integrated ML Approach Utilizing Radar & Satellite Imagery for Selective Logging Detection

Flawed Chain-of-Thought Reinforcement Learning Training for Mathematical Reasoning