3 papers
cs.CL2026
Product-of-Experts Training Reduces Dataset Artifacts in Natural Language Inference
Aby Mammen Mathew
Neural NLI models overfit dataset artifacts instead of truly reasoning. A hypothesis-only model gets 57.7% in SNLI, showing strong spurious correlations, and 38.6% of the baseline…
cs.AI2025
CARE-RAG - Clinical Assessment and Reasoning in RAG
Deepthi Potluri, Aby Mammen Mathew, Jeffrey B DeWitt +4
Access to the right evidence does not guarantee that large language models (LLMs) will reason with it correctly. This gap between retrieval and reasoning is especially concerning i…
cs.CV2024
Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering
Awais Naeem, Tianhao Li, Huang-Ru Liao +9
Accurate diagnosis and prognosis assisted by pathology images are essential for cancer treatment selection and planning. Despite the recent trend of adopting deep-learning approach…