1 citations · 1 across the 5 of their papers we have counts for
5 papers
Evaluation of Motivational Interviewing Counsellors with Task-Aware Multi-Stage LLM-Based Simulated Clients
Jiading Zhu, Xinyu Cindy Wang, Thomas Nguyen +4
The development and benchmarking of Large Language Model (LLM)-based Motivational Interviewing (MI) counsellors now often rely on LLM-based simulated clients. Prior work on simulat…
What are They Thinking? Delineation, Probing, and Tracking of Concepts in LLMs
Mohamed Abdelwahab, Michelle Yu Collins, Sihan Chen +5
As the influence of LLMs expands, it is imperative to gain insight into their decisions. One way to do that is to develop probes that detect the presence or absence of a broad set…
A Fully Generative Motivational Interviewing Counsellor Chatbot for Moving Smokers Towards the Decision to Quit
Zafarullah Mahmood, Soliman Ali, Jiading Zhu +12
The conversational capabilities of Large Language Models (LLMs) suggest that they may be able to perform as automated talk therapists. It is crucial to know if these systems would…
RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation
Sicheng Zhong, Jiading Zhu, Yifang Tian +1
Scaling automated formal verification to real-world projects requires resolving cross-module dependencies and global contexts, which are challenges overlooked by existing function-…
Generation, Distillation and Evaluation of Motivational Interviewing-Style Reflections with a Foundational Language Model
Andrew Brown, Jiading Zhu, Mohamed Abdelwahab +3
Large Foundational Language Models are capable of performing many tasks at a high level but are difficult to deploy in many applications because of their size and proprietary owner…