3 papers
cs.CV2025
Building Trust in Virtual Immunohistochemistry: Automated Assessment of Image Quality
Tushar Kataria, Shikha Dubey, Mary Bronner +4
Deep learning models can generate virtual immunohistochemistry (IHC) stains from hematoxylin and eosin (H&E) images, offering a scalable and low-cost alternative to laboratory IHC.…
cs.CL2025
Leveraging LLM For Synchronizing Information Across Multilingual Tables
Siddharth Khincha, Tushar Kataria, Ankita Anand +2
The vast amount of online information today poses challenges for non-English speakers, as much of it is concentrated in high-resource languages such as English and French. Wikipedi…
cs.CL2025
TransientTables: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables
Abhilash Shankarampeta, Harsh Mahajan, Tushar Kataria +2
Humans continuously make new discoveries, and understanding temporal sequence of events leading to these breakthroughs is essential for advancing science and society. This ability…