Papers by Changyuan Qiu
IEvoAgent: Evolving Conversational Agent based on User Implicit Feedback (2026.acl-long)
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| Challenge: | Existing approaches to optimize conversational agents often rely on explicit preference pairs and expert evaluations. |
| Approach: | They propose a conversational agent framework that leverages the structured dependency between agent responses and user reactions to extract implicit feedback. |
| Outcome: | The proposed framework improves on MT-Bench-101, WildBench, and FB-Bech, and shows that mining implicit feedback supports better multi-turn alignment under evolving user preferences. |
Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis (2022.emnlp-main)
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| Challenge: | Prior work on ideology prediction has focused on single modalities, i.e., text or images. |
| Approach: | They propose a task where a model predicts binary or five-point scale ideological leanings given a text-image pair with political content. |
| Outcome: | The proposed model outperforms the state-of-the-art model by almost 4% and a strong multimodal baseline with no pretraining by over 3%. |