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Zhongtao Jiang
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2020 – today
- 2023
- [c6]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Interpreting Sentiment Composition with Latent Semantic Tree. ACL (Findings) 2023: 7464-7478 - [c5]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu:
Generative Calibration for In-context Learning. EMNLP (Findings) 2023: 2312-2333 - [i4]Zhongtao Jiang, Yuanzhe Zhang, Yiming Ju, Kang Liu:
Unsupervised Text Style Transfer with Deep Generative Models. CoRR abs/2308.16584 (2023) - [i3]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Interpreting Sentiment Composition with Latent Semantic Tree. CoRR abs/2308.16588 (2023) - [i2]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu:
Generative Calibration for In-context Learning. CoRR abs/2310.10266 (2023) - 2022
- [c4]Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
Logic Traps in Evaluating Attribution Scores. ACL (1) 2022: 5911-5922 - [c3]Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu:
Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. CCL 2022: 281-297 - 2021
- [c2]Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu:
Alignment Rationale for Natural Language Inference. ACL/IJCNLP (1) 2021: 5372-5387 - [i1]Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
The Logic Traps in Evaluating Post-hoc Interpretations. CoRR abs/2109.05463 (2021) - 2020
- [c1]Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao:
MIE: A Medical Information Extractor towards Medical Dialogues. ACL 2020: 6460-6469
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