Papers by Kefei Duan
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks (2022.emnlp-main)
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| Challenge: | Existing meta-path generation methods cannot fully exploit rich textual information in HINs. |
| Approach: | They propose a text-infilling-based approach to generate meta-paths from textual information in HINs. |
| Outcome: | The proposed approach can classify edges in the zero-shot setting, where existing methods cannot generate meta-paths. |
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning (2024.acl-long)
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| Challenge: | Existing methods to solve compositional tasks are limited by complexity and complexity. |
| Approach: | They propose a method that tunes large language models to break down a problem into subproblems, solve those subproblem, and combine the results. |
| Outcome: | The proposed method significantly improves model performance on three representative compositional tasks: integer addition, dynamic programming, and parity. |