Papers by SungHwan Kim

2 papers
Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User Simulation (2025.findings-emnlp)

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Challenge: despite advances in CRSs, reliably assessing their ability to elicit preferences remains a challenge.
Approach: They propose a user-CRS evaluation protocol with target-free user simulators . they show that current evaluation metrics emphasize single-turn recall of target items .
Outcome: The proposed evaluation protocol is based on a simulation-based evaluation environment.
Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action (2025.findings-emnlp)

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Challenge: Conversational Recommender Systems (CRSs) aim to engage users in dialogue to provide tailored recommendations.
Approach: They propose a task that integrates preference elicitation, recommendation and persuasion . they propose CSALES, a conversational sales agent that infers contextual user profiles .
Outcome: The proposed task integrates preference elicitation, recommendation, and persuasion within a conversational framework.

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