MIE: A Medical Information Extractor towards Medical Dialogues. - Yuanzhe Zhang; Zhongtao Jiang; Tao Zhang 097; Shiwan Liu; Jiarun Cao; Kang Liu 001; Shengping Liu; Jun Zhao 001 (ACL, 2020)

Alignment Rationale for Natural Language Inference. - Zhongtao Jiang; Yuanzhe Zhang; Zhao Yang 004; Jun Zhao 001; Kang Liu 001 (ACL/IJCNLP (1), 2021)

The Logic Traps in Evaluating Post-hoc Interpretations. - Yiming Ju; Yuanzhe Zhang; Zhao Yang 004; Zhongtao Jiang; Kang Liu 001; Jun Zhao 001 (CoRR, 2021)

Logic Traps in Evaluating Attribution Scores. - Yiming Ju; Yuanzhe Zhang; Zhao Yang 004; Zhongtao Jiang; Kang Liu 001; Jun Zhao 001 (ACL (1), 2022)

Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. - Zhao Yang 004; Yuanzhe Zhang; Zhongtao Jiang; Yiming Ju; Jun Zhao 001; Kang Liu 001 (CCL, 2022)

Interpreting Sentiment Composition with Latent Semantic Tree. - Zhongtao Jiang; Yuanzhe Zhang; Cao Liu; Jiansong Chen; Jun Zhao 001; Kang Liu 001 (ACL (Findings), 2023)

Generative Calibration for In-context Learning. - Zhongtao Jiang; Yuanzhe Zhang; Cao Liu; Jun Zhao 001; Kang Liu 001 (EMNLP (Findings), 2023)

Unsupervised Text Style Transfer with Deep Generative Models. - Zhongtao Jiang; Yuanzhe Zhang; Yiming Ju; Kang Liu (CoRR, 2023)

On the In-context Generation of Language Models. - Zhongtao Jiang; Yuanzhe Zhang; Kun Luo; Xiaowei Yuan; Jun Zhao 001; Kang Liu 001 (EMNLP, 2024)

VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models. - Wangtao Sun; Haotian Xu; Huanxuan Liao; Xuanqing Yu; Zhongtao Jiang; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. - Jingcheng Deng; Zhongtao Jiang; Liang Pang; Liwei Chen; Kun Xu; Zihao Wei; Huawei Shen; Xueqi Cheng (CoRR, 2025)