2 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
Expert-Level Crisis Detection in Mental Health Conversations
Grace Byun, Abigail Lott, Rebecca Lipschutz +3
Real-world crisis intervention is inherently conversational, yet existing research largely focuses on static texts. When applied to multi-turn dialogues, current models exhibit sig…
LLM-as-a-Grader: Practical Insights from Large Language Model for Short-Answer and Report Evaluation
Grace Byun, Swati Rajwal, Jinho D. Choi
Large Language Models (LLMs) are increasingly explored for educational tasks such as grading, yet their alignment with human evaluation in real classrooms remains underexamined. In…
CRADLE Bench: A Clinician-Annotated Benchmark for Multi-Faceted Mental Health Crisis and Safety Risk Detection
Grace Byun, Rebecca Lipschutz, Sean T. Minton +2
Detecting mental health crisis situations such as suicide ideation, rape, domestic violence, child abuse, and sexual harassment is a critical yet underexplored challenge for langua…
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
Grace Byun, Jinho D. Choi
Evaluating generative models with open-ended generation is challenging due to inconsistencies in response formats. Multiple-choice (MC) evaluation mitigates this issue, but generat…
Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security Filtering
Grace Byun, Shinsun Lee, Nayoung Choi +1
Existing Retrieval-Augmented Generation (RAG) systems face challenges in enterprise settings due to limited retrieval scope and data security risks. When relevant internal document…