Papers by Zixi Liu
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation (2021.naacl-demos)
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| Challenge: | Recent advances in transformer-based language models and their applications to dialogue systems have succeeded to generate fluent and human-like responses. |
| Approach: | They propose to leverage conversational lines as controllable and informative content-planning elements to guide the generation model produce engaging and informative responses. |
| Outcome: | The proposed system generates engaging and informative responses using convlines as controllable and informative content-planning elements. |
Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation (2021.naacl-main)
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| Challenge: | Existing methods to generate implausible stories using plots are unnatural and oversimplify the characteristics of implusible machine-generated stories. |
| Approach: | They propose to generate a more comprehensive set of implausible stories using plots . plots are structured representations of controllable factors used to generate stories . |
| Outcome: | The proposed model improves the quality of generated implausible stories using plots . it shows that the evaluation metrics trained on the generated data correlate better with human judgments compared to baselines. |
Evaluating the Long-Term Memory of Large Language Models (2025.findings-acl)
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| Challenge: | Recent studies have not thoroughly investigated the memory performance of large language models in long-term tasks. |
| Approach: | They propose a dataset to evaluate the long-term memory capabilities of large language models. |
| Outcome: | The proposed model exhibits memory preferences across different categories of information. |