1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Toward Contemplative LLM: A Modular Framework for Evaluating and Enhancing LLM Alignment in Mental Health
Asher Sprigler, Yang-Yang Feng, Iftach Amir +5
Contemplative traditions have long guided ethical behavior and prosocial interaction, and recent work suggests that contemplative principles (e.g., mindfulness, compassion, non-dua…
cs.HC2026
CARE-MH: Towards Unified, Reproducible, and Comparable Evaluation of Mental Health LLMs
Asher Sprigler, Yixue Zhao, Yi Ding
Large language models (LLMs) are increasingly used to provide mental health support, requiring reliable evaluation of safety, empathy, and therapeutic appropriateness. However, exi…
cs.MA2024★ 1 cited
Synergistic Simulations: Multi-Agent Problem Solving with Large Language Models
Asher Sprigler, Alexander Drobek, Keagan Weinstock +4
Large Language Models (LLMs) have increasingly demonstrated the ability to facilitate the development of multi-agent systems that allow the interpretation of thoughts and actions g…