← Search

Aditya Pillai

2 accepted papers

2026

CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images

ICLR 2026poster

Quantifying cell morphology using images and machine learning has proven to be a powerful tool to study the response of cells to treatments. However, the models used to quantify cellular morphology are typically trained with a single microscopy imaging type and under controlled experimental conditio…

Cited by 0SourcecodeScholar
2024

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers

EMNLP 2024finding

The increased use of large language models (LLMs) across a variety of real-world applications calls for mechanisms to verify the factual accuracy of their outputs. In this work, we present Factcheck-Bench, a holistic end-to-end framework for annotating and evaluating the factuality of LLM-generated…