Yiming Chen

According to our database, Yiming Chen authored at least 24 papers between 2021 and 2026.

Collaborative distances:

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

2026

ReMedi: Reasoner for Medical Clinical Prediction.

Yushi Cao, Yiming Chen, Hongchao Jiang, Hung-yi Lee, Robby T. Tan

CoRR, May, 2026

LLM-Codec: Neural Audio Codec Meets Language Model Objectives.

Ho-Lam Chung, Yiming Chen, Hung-yi Lee

CoRR, April, 2026

MORE: Multi-Objective Adversarial Attacks on Speech Recognition.

Xiaoxue Gao, Zexin Li, Yiming Chen, Nancy F. Chen

CoRR, January, 2026

VoiceBench: Benchmarking LLM-Based Voice Assistants.

Yiming Chen, Xianghu Yue, Chen Zhang, Xiaoxue Gao, Robby T. Tan, Haizhou Li

Trans. Assoc. Comput. Linguistics, 2026

PAL: Prompting analytic learning with missing modality for multi-modal class-incremental learning.

Xianghu Yue, Yiming Chen, Xueyi Zhang, Xiaoxue Gao, Mengling Feng, Mingrui Lao, Huiping Zhuang, Haizhou Li

Pattern Recognit., 2026

2025

TreeDiff: AST-Guided Code Generation with Diffusion LLMs.

Yiming Zeng, Jinghan Cao, Zexin Li, Yiming Chen, Tao Ren, Dawei Xiang, Xidong Wu, Shangqian Gao, Tingting Yu

CoRR, August, 2025

CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks.

Hongchao Jiang, Yiming Chen, Yushi Cao, Hung-yi Lee, Robby T. Tan

CoRR, July, 2025

Recent Advances in Large Langauge Model Benchmarks against Data Contamination: From Static to Dynamic Evaluation.

Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray

CoRR, February, 2025

Emo-DPO: Controllable Emotional Speech Synthesis through Direct Preference Optimization.

Xiaoxue Gao, Chen Zhang, Yiming Chen, Huayun Zhang, Nancy F. Chen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation.

Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray

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

2024

Transferable Adversarial Attacks Against ASR.

Xiaoxue Gao, Zexin Li, Yiming Chen, Cong Liu, Haizhou Li

IEEE Signal Process. Lett., 2024

MMAL: Multi-Modal Analytic Learning for Exemplar-Free Audio-Visual Class Incremental Tasks.

Xianghu Yue, Xueyi Zhang, Yiming Chen, Chengwei Zhang, Mingrui Lao, Huiping Zhuang, Xinyuan Qian, Haizhou Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Beyond Single-Audio: Advancing Multi-Audio Processing in Audio Large Language Models.

Yiming Chen, Xianghu Yue, Xiaoxue Gao, Chen Zhang, Luis Fernando D'Haro, Robby T. Tan, Haizhou Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models.

Yiming Chen, Chen Zhang, Danqing Luo, Luis Fernando D'Haro, Robby T. Tan, Haizhou Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators.

Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation.

Danqing Luo, Chen Zhang, Jiahui Xu, Bin Wang, Yiming Chen, Yan Zhang, Haizhou Li

CoRR, 2023

Dynamic Transformers Provide a False Sense of Efficiency.

Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby T. Tan, Haizhou Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Analyzing and Evaluating Faithfulness in Dialogue Summarization.

Bin Wang, Chen Zhang, Yan Zhang, Yiming Chen, Haizhou Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework.

Yiming Chen, Yan Zhang, Bin Wang, Zuozhu Liu, Haizhou Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Investigating the Impact of Pre-trained Language Models on Dialog Evaluation.

Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Thomas Friedrichs, Haizhou Li

CoRR, 2021

DynaEval: Unifying Turn and Dialogue Level Evaluation.

Chen Zhang, Yiming Chen, Luis Fernando D'Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee, Haizhou Li

CoRR, 2021

Investigating the Impact of Pre-trained Language Models on Dialog Evaluation.

Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Thomas Friedrichs, Haizhou Li

Proceedings of the Conversational AI for Natural Human-Centric Interaction, 2021

Revisiting Self-training for Few-shot Learning of Language Model.

Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

DynaEval: Unifying Turn and Dialogue Level Evaluation.

Chen Zhang, Yiming Chen, Luis Fernando D'Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee, Haizhou Li

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