Zhongtao Jiang

According to our database, Zhongtao Jiang authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning.

Huanxuan Liao, Zhongtao Jiang, Yupu Hao, Yuqiao Tan, Shizhu He, Ben Wang, Jun Zhao, Kun Xu, Kang Liu

CoRR, March, 2026

WideSeek: Advancing Wide Research via Multi-Agent Scaling.

Ziyang Huang, Haolin Ren, Xiaowei Yuan, Jiawei Wang, Zhongtao Jiang, Kun Xu, Shizhu He, Jun Zhao, Kang Liu

CoRR, February, 2026

Shuttle Between Symbolic Instructions and Neural Parameters of Large Language Models.

Wangtao Sun, Haotian Xu, Huanxuan Liao, Xuanqing Yu, Zhongtao Jiang, Shizhu He, Jun Zhao, Kang Liu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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, February, 2025

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, Kang Liu

CoRR, February, 2025

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment.

Jingcheng Deng, Zhongtao Jiang, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

On the In-context Generation of Language Models.

Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Unsupervised Text Style Transfer with Deep Generative Models.

Zhongtao Jiang, Yuanzhe Zhang, Yiming Ju, Kang Liu

CoRR, 2023

Generative Calibration for In-context Learning.

Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Interpreting Sentiment Composition with Latent Semantic Tree.

Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack.

Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu

Proceedings of the Chinese Computational Linguistics - 21st China National Conference, 2022

Logic Traps in Evaluating Attribution Scores.

Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

The Logic Traps in Evaluating Post-hoc Interpretations.

Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao

CoRR, 2021

Alignment Rationale for Natural Language Inference.

Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

MIE: A Medical Information Extractor towards Medical Dialogues.

Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020