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Dive into the research topics where Wenpeng Yin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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AAAR-1.0: Assessing AI’s Potential to Assist Research
Lou, R., Xu, H., Wang, S., Du, J., Kamoi, R., Lu, X., Xie, J., Sun, Y., Zhang, Y., Ahn, J. J., Fang, H., Zou, Z., Ma, W., Li, X., Zhang, K., Xia, C., Huang, L. & Yin, W., 2025, In: Proceedings of Machine Learning Research. 267Research output: Contribution to journal › Conference article › peer-review
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Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems
Ye, J., Gu, J., Zhao, X., Yin, W. & Wang, G., Apr 11 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 24, p. 25687-25696 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
Automated Assessment of Creativity in Multilingual Narratives
Luchini, S. A., Moosa, I. M., Patterson, J. D., Johnson, D., Baas, M., Barbot, B., Bashmakova, I., Benedek, M., Chen, Q., Corazza, G. E., Forthmann, B., Goecke, B., Said-Metwaly, S., Karwowski, M., Kenett, Y. N., Lebuda, I., Lubart, T., Miroshnik, K. G., Obialo, F. K. & Ovando-Tellez, M. & 8 others, , 2025, (Accepted/In press) In: Psychology of Aesthetics, Creativity, and the Arts.Research output: Contribution to journal › Article › peer-review
Open Access9 Link opens in a new tab Scopus citations -
Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding
Ye, J., Dash, A., Yin, W. & Wang, G., 2025, Long Papers. Chiruzzo, L., Ritter, A. & Wang, L. (eds.). Association for Computational Linguistics (ACL), p. 3534-3548 15 p. (Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies: Long Papers, NAACL-HLT 2025; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
CATASTROPHIC FAILURE OF LLM UNLEARNING VIA QUANTIZATION
Zhang, Z., Wang, F., Li, X., Wu, Z., Tang, X., Liu, H., He, Q., Yin, W. & Wang, S., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 54940-54963 24 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Link opens in a new tab Scopus citations