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20152026
most citedFoodAI: Food Image Recognition via Deep Learning for Smart Food Logging

103 citations · 241 across the 19 of their papers we have counts for

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10 papers · 1 filter

cs.CL2026

MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling

Yizhe Yang, Palakorn Achananuparp, Heyan Huang +2

Reasoning large language models (LLMs) have recently made much progress in complex problem-solving, leveraging internal reasoning (or thought) to guide their solution generation. H…

cs.CL2026

On Reasoning Behind Next Occupation Recommendation

Shan Dong, Palakorn Achananuparp, Hieu Hien Mai +3

In this work, we develop a novel reasoning approach to enhance the performance of large language models (LLMs) in future occupation prediction. In this approach, a reason generator…

cs.CL2026

MHSafeEval: Role-Aware Interaction-Level Evaluation of Mental Health Safety in Large Language Models

Suhyun Lee, Palakorn Achananuparp, Neemesh Yadav +2

Large language models (LLMs) are increasingly explored as scalable tools for mental health counseling, yet evaluating their safety remains challenging due to the interactional and…

cs.CL2026

DialToM: A Theory of Mind Benchmark for Forecasting State-Driven Dialogue Trajectories

Neemesh Yadav, Palakorn Achananuparp, Jing Jiang +1

We introduce DialToM, an annotated Theory of Mind (ToM) benchmark built from naturalistic human-human dialogues using a multiple-choice evaluation framework. Concurrent with recent…

cs.CL2025

Effects of Theory of Mind and Prosocial Beliefs on Steering Human-Aligned Behaviors of LLMs in Ultimatum Games

Neemesh Yadav, Yihuai Lan, Shan Dong +4

Large Language Models (LLMs) have shown potential in simulating human behaviors and performing theory-of-mind (ToM) reasoning, crucial for complex social interactions. We investiga…

cs.CL2025

A Multi-Stage Framework with Taxonomy-Guided Reasoning for Occupation Classification Using Large Language Models

Palakorn Achananuparp, Ee-Peng Lim, Yao Lu

Automatically annotating job data with standardized occupations from taxonomies, known as occupation classification, is crucial for labor market analysis. However, this task is oft…

cs.CL2025

CAMI: A Counselor Agent Supporting Motivational Interviewing through State Inference and Topic Exploration

Yizhe Yang, Palakorn Achananuparp, Heyan Huang +5

Conversational counselor agents have become essential tools for addressing the rising demand for scalable and accessible mental health support. This paper introduces CAMI, a novel…

cs.CL2025

Consistent Client Simulation for Motivational Interviewing-based Counseling

Yizhe Yang, Palakorn Achananuparp, Heyan Huang +7

Simulating human clients in mental health counseling is crucial for training and evaluating counselors (both human or simulated) in a scalable manner. Nevertheless, past research o…

cs.CL2024

Speaker Verification in Agent-Generated Conversations

Yizhe Yang, Palakorn Achananuparp, Heyan Huang +2

The recent success of large language models (LLMs) has attracted widespread interest to develop role-playing conversational agents personalized to the characteristics and styles of…

cs.CL2020★ 32 cited

RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System

Helena H. Lee, Ke Shu, Palakorn Achananuparp +4

Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes. We present RecipeGPT…