4 citations · 4 across the 4 of their papers we have counts for
4 papers
Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities
Dipto Das, Achhiya Sultana, Ankit Singh Chauhan +5
Language operates as a mechanism of both marginalization and resistance, especially for minority communities navigating insensitive and harmful speech online. As content moderation…
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…
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…
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…