Papers by Hanchen Su

2 papers
Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support (2025.emnlp-industry)

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Challenge: Existing offline approaches to improve an LLM-based customer support system rely on batch annotations.
Approach: They propose an agent-in-the-loop framework that integrates four key types of annotations directly into live customer operations: (1) pairwise response preferences, (2) agent adoption and rationales, (3) knowledge relevance checks, and (4) identification of missing knowledge.
Outcome: The proposed framework reduces retraining cycles from months to weeks by integrating four key types of annotations directly into live customer operations.
LLM-Friendly Knowledge Representation for Customer Support (2025.coling-industry)

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Challenge: a new approach to customer support is proposed to integrate large language models with a framework designed to navigate the complexities of Airbnb customer support operations.
Approach: They propose a method for integrating Large Language Models with a framework designed to navigate the complexities of Airbnb customer support operations.
Outcome: The proposed approach is cost-effective and improves customer support performance . it also allows human agents to focus on more complex issues, the authors show .

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