3 papers
cs.CL2026
Benchmarking LLMs for Pairwise Causal Discovery in Biomedical and Multi-Domain Contexts
Sydney Anuyah, Sneha Shajee-Mohan, Ankit-Singh Chauhan +1
The safe deployment of large language models (LLMs) in high-stakes fields like biomedicine, requires them to be able to reason about cause and effect. We investigate this ability b…
cs.CL2026
Domain-Specific Knowledge Graphs in RAG-Enhanced Healthcare LLMs
Sydney Anuyah, Mehedi Mahmud Kaushik, Hao Dai +3
Large Language Models (LLMs) generate fluent answers but can struggle with trustworthy, domain-specific reasoning. We evaluate whether domain knowledge graphs (KGs) improve Retriev…
cs.CL2025
Automated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modelling
Sydney Anuyah, Mehedi Mahmud Kaushik, Krishna Dwarampudi +3
We introduce CoDe-KG, an open-source, end-to-end pipeline for extracting sentence-level knowledge graphs by combining robust coreference resolution with syntactic sentence decompos…