Kehai Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
74
Venues
10
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
74 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Long-form RewardBench: Evaluating Reward Models for Long-form Generation. | Hui Huang, Yancheng He, Wei Liu, Muyun Yang, Jiaheng Liu, Kehai Chen, Bing Xu, Conghui Zhu, Hailong Cao, Tiejun Zhao |
| 2026 | AAAI | Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory. | Hongli Zhou, Hui Huang, Ziqing Zhao, Lvyuan Han, Huicheng Wang, Kehai Chen, Muyun Yang, Wei Bao, Jian Dong, Bing Xu, Conghui Zhu, Hailong Cao, Tiejun Zhao |
| 2026 | ACL | SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking. | Weiyang Huang, Xuefeng Bai, Kehai Chen, Xinyang Chen, Yibin Chen, Weili Guan, Min Zhang |
| 2026 | ACL | WSDPO: A Generative Word Sense Disambiguation Framework with Chain-of-Thought and Preference Optimization. | Kunpeng Kang, Shuaimin Li, Kaiyuan Zhang, Luyang Zhang, Jiasheng Si, Bing Xu, Kehai Chen, Muyun Yang, Wenpeng Lu |
| 2026 | ACL | Live-Aid: A Large-Scale Dialogue Dataset and Benchmark for Interleaved Multi-party Interactions in Live Streaming. | Yiming Lei, Yize Fan, Zeming Liu, Jiaji Dong, Hui Qiu, Haitao Leng, Qingjie Liu, Kehai Chen, Tingting Gao, Yunhong Wang |
| 2026 | ACL | DUAL RM: Beyond Rule-based Preference Reward Modeling via Meta-Reward. | Xiaobo Liang, Wanfu Wang, Qipeng Huang, Yuyang Ding, Zecheng Tang, Yixin Ji, Qianben Chen, Zhe Zhao, Kehai Chen, Juntao Li, Min Zhang |
| 2026 | ACL | Diagnosing and Remedying Representation Deficiencies for Deterministic Reasoning in KGQA. | Gewen Liang, Mufan Xu, Kehai Chen, Wei Wang, Yuwei Wang, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2026 | ACL | Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity Recognition. | Jinlong Ma, Yu Zhang, Xuefeng Bai, Kehai Chen, Yuwei Wang, Zeming Liu, Jun Yu, Min Zhang |
| 2025 | AAAI | Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM. | Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Rongxiang Weng, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2025 | ACL | LLM-based Translation Inference with Iterative Bilingual Understanding. | Andong Chen, Kehai Chen, Yang Xiang, Xuefeng Bai, Muyun Yang, Yang Feng, Tiejun Zhao, Min Zhang |
| 2025 | ACL | Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation. | Andong Chen, Yuchen Song, Kehai Chen, Xuefeng Bai, Muyun Yang, Liqiang Nie, Jie Liu, Tiejun Zhao, Min Zhang |
| 2025 | ACL | Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward Modeling. | Qiyuan Deng, Xuefeng Bai, Kehai Chen, Yaowei Wang, Liqiang Nie, Min Zhang |
| 2025 | ACL | MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal Models. | Bohan Jin, Shuhan Qi, Kehai Chen, Xinyi Guo, Xuan Wang |
| 2025 | ACL | Tool learning via Inference-time Scaling and Cycle Verifier. | Xiaobo Liang, Wenjin Xie, Juntao Li, Wanfu Wang, Yibin Chen, Kehai Chen, Min Zhang |
| 2025 | ACL | Generative Reward Modeling via Synthetic Criteria Preference Learning. | Xiaobo Liang, Haoke Zhang, Juntao Li, Kehai Chen, Qiaoming Zhu, Min Zhang |
| 2025 | ACL | The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue Agents. | Yihong Tang, Kehai Chen, Xuefeng Bai, Zheng-Yu Niu, Bo Wang, Jie Liu, Min Zhang |
| 2025 | ACL | From Awareness to Adaptability: Enhancing Tool Utilization for Scientific Reasoning. | Wenjing Xie, Xiaobo Liang, Juntao Li, Wanfu Wang, Kehai Chen, Qiaoming Zhu, Min Zhang |
| 2025 | ACL | Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning. | Mufan Xu, Gewen Liang, Kehai Chen, Wei Wang, Xun Zhou, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2025 | ACL | Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning. | Yingjie Zhu, Xuefeng Bai, Kehai Chen, Yang Xiang, Jun Yu, Min Zhang |
| 2025 | ACL | InImageTrans: Multimodal LLM-based Text Image Machine Translation. | Fei Zuo, Kehai Chen, Yu Zhang, Zhengshan Xue, Min Zhang |
| 2025 | COLING | ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty. | Meizhi Zhong, Xikai Liu, Chen Zhang, Yikun Lei, Yan Gao, Yao Hu, Kehai Chen, Min Zhang |
| 2025 | COLING | Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective. | Meizhi Zhong, Chen Zhang, Yikun Lei, Xikai Liu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang |
| 2025 | EMNLP | Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and Elegance. | Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2025 | EMNLP | Exploiting Prompt-induced Confidence for Black-Box Attacks on LLMs. | Meina Chen, Yihong Tang, Kehai Chen |
| 2025 | EMNLP | ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities. | Yifan Duan, Yihong Tang, Kehai Chen, Liqiang Nie, Min Zhang |
| 2025 | EMNLP | Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent. | Xingzuo Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yong Xu, Min Zhang |
| 2025 | EMNLP | Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs. | Dingkun Zhang, Shuhan Qi, Xinyu Xiao, Kehai Chen, Xuan Wang |
| 2025 | IJCAI | A Survey on the Feedback Mechanism of LLM-based AI Agents. | Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang |
| 2025 | NAACL | MoDification: Mixture of Depths Made Easy. | Chen Zhang, Meizhi Zhong, Qimeng Wang, Xuantao Lu, Zheyu Ye, Chengqiang Lu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang, Dawei Song |
| 2024 | ACL | DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms. | Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2024 | ACL | Unsupervised Sign Language Translation and Generation. | Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang |
| 2024 | ACL | Efficient Domain Adaptation for Non-Autoregressive Machine Translation. | Wangjie You, Pei Guo, Juntao Li, Kehai Chen, Min Zhang |
| 2024 | ACL | Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. | Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang |
| 2024 | ACL | Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model. | Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang |
| 2024 | ACL | On the Hallucination in Simultaneous Machine Translation. | Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, Min Zhang |
| 2024 | ACL | Context Consistency between Training and Inference in Simultaneous Machine Translation. | Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang |
| 2024 | EMNLP | Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering. | Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang |
| 2024 | EMNLP | Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization. | Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen, Min Zhang |
| 2024 | EMNLP | Dynamic Planning for LLM-based Graphical User Interface Automation. | Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Xinbei Ma, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2023 | ACL | Improving Translation Quality Estimation with Bias Mitigation. | Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang, Tiejun Zhao |
| 2023 | EMNLP | Improving Low-resource Question Answering by Augmenting Question Information. | Andong Chen, Yuan Sun, Xiaobing Zhao, Rosella P. Galindo Esparza, Kehai Chen, Yang Xiang, Tiejun Zhao, Min Zhang |
| 2023 | EMNLP | PromptST: Abstract Prompt Learning for End-to-End Speech Translation. | Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang |
| 2023 | EMNLP | INFORM : Information eNtropy based multi-step reasoning FOR large language Models. | Chuyue Zhou, Wangjie You, Juntao Li, Jing Ye, Kehai Chen, Min Zhang |
| 2022 | ACL | Synchronous Refinement for Neural Machine Translation. | Kehai Chen, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang |
| 2022 | IJCAI | Effective Graph Context Representation for Document-level Machine Translation. | Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang |
| 2022 | NAACL | Document-Level Relation Extraction with Sentences Importance Estimation and Focusing. | Wang Xu, Kehai Chen, Lili Mou, Tiejun Zhao |
| 2021 | AAAI | Document-Level Relation Extraction with Reconstruction. | Wang Xu, Kehai Chen, Tiejun Zhao |
| 2021 | ACL | Discriminative Reasoning for Document-level Relation Extraction. | Wang Xu, Kehai Chen, Tiejun Zhao |
| 2021 | EMNLP | Syntax in End-to-End Natural Language Processing. | Hai Zhao, Rui Wang, Kehai Chen |
| 2021 | NAACL | Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios. | Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao |
| 2020 | AAAI | Explicit Sentence Compression for Neural Machine Translation. | Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao |
| 2020 | ACL | Content Word Aware Neural Machine Translation. | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita |
| 2020 | ACL | Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation. | Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao |
| 2020 | COLING | Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training. | Haipeng Sun, Rui Wang, Kehai Chen, Xugang Lu, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao |
| 2020 | COLING | Robust Machine Reading Comprehension by Learning Soft labels. | Zhenyu Zhao, Shuangzhi Wu, Muyun Yang, Kehai Chen, Tiejun Zhao |
| 2020 | ICLR | Neural Machine Translation with Universal Visual Representation. | Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, Hai Zhao |
| 2020 | ICLR | Data-dependent Gaussian Prior Objective for Language Generation. | Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao |
| 2019 | ACL | Neural Machine Translation with Reordering Embeddings. | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita |
| 2019 | ACL | Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation. | Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao |
| 2019 | ACL | Lattice-Based Transformer Encoder for Neural Machine Translation. | Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen |
| 2019 | ACL | Sentence-Level Agreement for Neural Machine Translation. | Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Min Zhang, Tiejun Zhao |
| 2019 | EMNLP | Recurrent Positional Embedding for Neural Machine Translation. | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita |
| 2019 | IGARSS | A SST-Dependent Geophysical Model Function for HY-2A Microwave Scatterometer. | Xuetong Xie, Dongxuan Tian, Kehai Chen, Zhifeng Wu, Songhong Tan |
| 2018 | AAAI | Syntax-Directed Attention for Neural Machine Translation. | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao |
| 2017 | AAAI | Translation Prediction with Source Dependency-Based Context Representation. | Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu |
| 2017 | EMNLP | Neural Machine Translation with Source Dependency Representation. | Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, Tiejun Zhao |
| 2017 | EMNLP | Instance Weighting for Neural Machine Translation Domain Adaptation. | Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, Eiichiro Sumita |
| 2017 | IJCNLP | Context-Aware Smoothing for Neural Machine Translation. | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao |
| 2016 | ICONIP | Improving Dependency Parsing on Clinical Text with Syntactic Clusters from Web Text. | Xiuming Qiao, Hailong Cao, Tiejun Zhao, Kehai Chen |
| 2012 | IGARSS | A study on wind vector retrieval algorithm for rotating fan-beam scatterometer. | Xuetong Xie, Shi Huan, Jianqiang Liu, Shuyan Lang, Youguang Zhang, Di Zhu, Kehai Chen, Juhong Zou, Zhou Huang, Weijun Tao |
| 2012 | IGARSS | A wind direction extension based algorithm for scatterometer wind vector retrieval. | Xuetong Xie, Mingsen Lin, Kehai Chen, Zhou Huang, Lixia Liu, Dongxuan Tian, Xiaoning Wang, Wenxin Chen, Rongrong He, Juhong Zou |
| 2008 | IGARSS | A Study on Geophysical Model Function Modeling with Water Surface Temperature as One of the Input Parameters. | Xuetong Xie, Kehai Chen, Wenxian Yu, Weidong Hu, Qiming Zeng, Yu Fang |
| 2008 | IGARSS | Validation of QSCAT-1 Geophysical Model Function Using Seawinds Level 2 and Buoy Data. | Xuetong Xie, Qiming Zeng, Weidong Hu, Wenxian Yu, Kehai Chen, Yu Fang |
| 2005 | IGARSS | A new fast wind vector retrieval algorithm for seawinds scatterometer. | Xuetong Xie, Yu Fang, Xiaoxiang Chen, Kehai Chen |