2026 |
Decoupling Skeleton and Flesh: Efficient Multimodal Table Reasoning with Disentangled Alignment and Structure-aware Guidance [Paper and Bib]
Yingjie Zhu, Xuefeng Bai, Kehai Chen, Yang Xiang, Youcheng Pan, Xiaoqiang Zhou, and Min Zhang
Forty-third International Conference on Machine Learning (ICML, Spotlight), Seoul, South Korea, July 2026
CRPO: Character-centric Group Relative Policy Optimization for Role-aware Reasoning in Role-playing Agents [Paper and Bib]
Yihong Tang, Kehai Chen, Liang Yue, Benyou Wang, and Min Zhang
Forty-third International Conference on Machine Learning (ICML), Seoul, South Korea, July 2026
User-Aware Active Knowledge Acquisition for Emotional Support Dialogue [Paper and Bib]
Mufan Xu, Kehai Chen, Jiahao Hu, Xinchao Xu, Muyun Yang, Tiejun Zhao, and Min Zhang
Forty-third International Conference on Machine Learning (ICML), Seoul, South Korea, July 2026
Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck [Paper and Bib]
Hongbin Zhang, Kehai Chen, Xuefeng Bai, Youcheng Pan, Yang Xiang, Jinpeng Wang, and Min Zhang
Forty-third International Conference on Machine Learning (ICML), Seoul, South Korea, July 2026
The Secret Engine Behind RLHF: It's Contrastive Learning All Along [Paper and Bib]
Xufei Lv, Kehai Chen, Haoyuan Sun, Xuefeng Bai, Min Zhang, and Houde Liu
Forty-third International Conference on Machine Learning (ICML), Seoul, South Korea, July 2026
LoCoT2V-Bench: Benchmarking Long-Form and Complex Text-to-Video Generation [Paper and Bib]
Xiangqing Zheng, Chengyue Wu, Kehai Chen, and Min Zhang
Forty-third International Conference on Machine Learning (ICML), Seoul, South Korea, July 2026
Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure [Paper and Bib]
Zirui Li, Xuefeng Bai, Kehai Chen, Yizhi LI, Jian Yang, Chenghua Lin, and Min Zhang
Forty-third International Conference on Machine Learning (ICML), Seoul, South Korea, July 2026
Evaluating and Steering Modality Preferences in Multi-modal LLMs [Paper and Bib]
Yu Zhang, Jinlong Ma, Yongshuai Hou, Xuefeng Bai, Kehai Chen, Yang Xiang, Jun Yu, and Min Zhang
Forty-third International Conference on Machine Learning (ICML), Seoul, South Korea, July 2026
DocOS: A Benchmark for Proactive Document-Guided Actions in GUI Agents [Paper and Bib]
Jingjing Liu, Ziye Huang, Zihao Cheng, Zeming Liu, Jiahong Wu, Yuhang Guo, Kehai Chen, Yunhong Wang, and Haifeng Wang
Forty-third International Conference on Machine Learning (ICML), Seoul, South Korea, July 2026
SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking [Paper and Bib]
Weiyang Huang, Xuefeng Bai, Kehai Chen, Xinyang Chen, Yibin Chen, Weili Guan, and Min Zhang
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), San Diego, California, July 2026
Diagnosing and Remedying Representation Deficiencies for Deterministic Reasoning in KGQA [Paper and Bib]
Gewen Liang, Mufan Xu, Kehai Chen, Wei Wang, Yuwei Wang, Muyun Yang, Tiejun Zhao, and Min Zhang
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), San Diego, California, July 2026
WSDPO: A Generative Framework for Word Sense Disambiguation via Chain-of-Thought and Preference Optimization [Paper and Bib]
Kunpeng Kang, Shuaimin Li, Kaiyuan Zhang, Luyang Zhang, Jiasheng Si, Bing Xu, Kehai Chen, Muyun Yang, and Wenpeng Lu
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), San Diego, California, July 2026
DUAL RM: Beyond Rule-based Preference Reward Modeling via Meta-Reward [Paper and Bib]
Xiaobo Liang, Wanfu Wang, Qipeng Huang, Yuyang Ding, Zecheng Tang, Yixin Ji, Qianben Chen, Zhe Zhao, Kehai Chen, Juntao Li, and Min Zhang
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), San Diego, California, July 2026
Beyond Unimodal Shortcuts: MLLMs as Cross-Modal Reasoners for Grounded Named Entity Recognition [Paper and Bib]
Jinlong Ma, Yu Zhang, Xuefeng Bai, Kehai Chen, Yuwei Wang, Zeming Liu, Jun Yu, and Min Zhang
Findings of The 64th Annual Meeting of the Association for Computational Linguistics (ACL Findings), San Diego, California, July 2026
Live-Aid: A Comprehensive Benchmark for Interleaved Multi-party Interactions in Live Streaming [Paper and Bib]
Yiming Lei, Yize Fan, Zeming Liu, Jiaji Dong, Hui Qiu, Haitao Leng, Qingjie Liu, Kehai Chen, Tingting Gao, and Yunhong Wang
Findings of The 64th Annual Meeting of the Association for Computational Linguistics (ACL Findings), San Diego, California, July 2026
A Survey: Spatiotemporal Consistency in Video Generation [Paper and Bib]
Zhiyu Yin, Kehai Chen, Xuefeng Bai, Ruili Jiang, Juntao Li, Hong-dong Li, Jin Liu, Yang Xiang, JunYu, and Min Zhang
ACM Computing Surveys (ACM CSUR), Feb 2026
Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment [Paper and Bib]
Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, and Min Zhang
Fourteenth International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil, April 2026
HiPO: Self-Hint Policy Optimization for RLVR [Paper and Bib]
Deng Qiyuan, Kehai Chen*, Min Zhang, and Zhongwen Xu
Fourteenth International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil, April 2026
Culture In a Frame: C3 as a Comic-Based Benchmark for Multimodal Culturally Awareness [Paper and Bib]
Yuchen Song, Andong Chen, Wenxin Zhu, Kehai Chen, Xuefeng Bai, Muyun Yang, and Tiejun Zhao
Fourteenth International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil, April 2026
LLM with Relation Classifier for Document-Level Relation Extraction [Paper and Bib]
Xingzuo Li, Kehai Chen*, Yunfei Long*, and Min Zhang
IEEE Transactions on Big Data (TBD), Feb 2026
Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory [Paper and Bib]
Hongli Zhou, Hui Huang, Ziqing Zhao, Lvyuan Han, Huicheng Wang, Kehai Chen, Muyun Yang, Wei Bao, Jian Dong, Bing Xu, Conghui Zhu, Hailong Cao, and Tiejun Zhao
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), Singapore, January 2026
Long-form RewardBench: Evaluating Reward Models for Long-form Generation [Paper and Bib]
Hui Huang, Yancheng He, Wei Liu, Muyun Yang, Jiaheng Liu, Kehai Chen, Bing Xu, Conghui Zhu, Hailong Cao, and Tiejun Zhao
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), Singapore, January 2026
2025 |
Spatial Knowledge Graph-Guided Multimodal Synthesis [Paper and Bib]
Yida Xue, Zhen Bi, Jinnan Yang, Jungang Lou, Kehai Chen, Min Zhang, Huajun Chen, and Ningyu Zhang
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), Accepted, November 2025
A Survey on Human Preference Learning for Large Language Models [Paper and Bib]
Ruili Jiang, Kehai Chen*, Xuefeng Bai, Zhixuan He, Juntao Li, Muyun Yang, Tiejun Zhao, Liqiang Nie, and Min Zhang
ACM Computing Surveys (ACM CSUR), Accepted, Oct 2025
Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning [Paper and Bib]
Yihong Tang, Kehai Chen*, Muyun Yang, Zheng-Yu Niu, Jing Li, Tiejun Zhao, and Min Zhang
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec 2025
MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching [Paper and Bib]
Liang Yue, Yihong Tang, Kehai Chen*, Jie Liu, and Min Zhang
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec 2025
Exploring Translation Mechanism of Large Language Models [Paper and Bib]
Hongbin Zhang, Kehai Chen, Xuefeng Bai, Xiucheng Li, Yang Xiang, and Min Zhang
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec 2025
XIFBench: Evaluating Large Language Models on Multilingual Instruction Following [Paper and Bib]
Zhenyu Li, Kehai Chen, YUNFEI LONG, Xuefeng Bai, Yaoyin Zhang, Xuchen Wei, Juntao Li, and Min Zhang
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec 2025
Unified Transferability Metrics for Time Series Foundation Models [Paper and Bib]
Weiyang Zhang, Xinyang Chen, Xiucheng Li, Kehai Chen, Weili Guan, Liqiang Nie
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, Dec 2025
Constituency Parsing using LLMs [Paper and Bib]
Xuefeng Bai, Jialong Wu, Yulong Chen, Zhongqing Wang, Kehai Chen*, Min Zhang, and Yue Zhang*
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 33, pp. 3762-3775, August 2025
BIMCompNet: Multimodal Dataset for Geometric Deep Learning in Building Information Model [Paper and Bib]
Mingsong Yang, Xinhong Hei, Kehai Chen, Haining Meng, HaoYang Dong, and Qin zhao
The 33rd ACM International Conference on Multimedia (ACM MM), Ireland, Dublin, October 2025
Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent [Paper and Bib]
Xingzuo Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yong Xu, and Min Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), Suzhou, China, Nov 2025
ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities [Paper and Bib]
Yifan Duan, Yihong Tang, Kehai Chen*, Liqiang Nie, and Min Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), Suzhou, China, Nov 2025
Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and Elegance [Paper and Bib]
Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, and Min Zhang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), Suzhou, China, Nov 2025
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs [Paper and Bib]
Dingkun Zhang, Shuhan Qi, Xinyu Xiao, Kehai Chen, and Xuan Wang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), Suzhou, China, Nov 2025
Exploiting Prompt-Induced Confidence for Black-Box Attacks on LLMs [Paper and Bib]
Meina Chen, Yihong Tang, and Kehai Chen*
Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), Suzhou, China, Nov 2025
Adaptive Inner Speech Text Alignment for LLM-based Speech Translation [Paper and Bib]
Henglyu Liu, Andong Chen, Kehai Chen*, Xuefeng Bai, Meizhi Zhong, Yuan Qiu, and Min Zhang
The 14th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), Urumqi, China, August 2025
TianWen: A Comprehensive Benchmark for Evaluating LLMs in Chinese Classical Poetry Understanding and Reasoning [Paper and Bib]
Zhenwu Pei, Rongbo Chen, Xuefeng Bai, Kehai Chen, Yingjie Zhu, Andong Chen, and Min Zhang
The 14th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), Urumqi, China, August 2025
HITSZ’s End-To-End Speech Translation Systems Combining Sequence-to-Sequence Auto Speech Recognition Model and Indic Large Language Model for IWSLT 2025 in Indic Track [Paper and Bib]
Xuchen Wei, Yangxin Wu, Yaoyin Zhang, Henglyu Liu, Kehai Chen*, Xuefeng Bai, and Min Zhang
The 22nd International Conference on Spoken Language Translation (IWLST), Vienna, Austria, July 27-August 1st, 2025 (Six first places for En-Bengali, En-Hindi, and En-Tamil shared tasks)
Source-side Context Predictive Completion for Simultaneous Machine Translation [Paper and Bib]
Andong Chen, Kehai Chen*, Yang Xiang, Xuefeng Bai, Muyun Yang, Tiejun Zhao, and Min Zhang
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), Accepted, May 2025
A Survey on the Feedback Mechanism of LLM-based AI Agents [Paper and Bib]
Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, and Min Zhang
The 34th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, 16th – 22nd August, 2025
Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation [Paper and Bib]
Andong Chen, Yuchen Song, Kehai Chen*, Xuefeng Bai, Muyun Yang, Liqiang Nie, Jie Liu, Tiejun Zhao, and Min Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, July 27-August 1st, 2025
Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model [Paper and Bib]
Qiyuan Deng, Xuefeng Bai, Kehai Chen, Yaowei Wang, Liqiang Nie, and Min Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, July 27-August 1st, 2025
Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning [Paper and Bib]
Yingjie Zhu, Xuefeng Bai, Kehai Chen, Yang Xiang, Jun Yu, and Min Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, July 27-August 1st, 2025
Generative Reward Modeling via Synthetic Criteria Preference Learning [Paper and Bib]
Xiaobo Liang, Haoke Zhang, Juntao Li, Kehai Chen, Qiaoming Zhu, and Min Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, July 27-August 1st, 2025
The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue Agents [Paper and Bib]
Yihong Tang, Kehai Chen*, Xuefeng Bai, Zheng-Yu Niu, Bo Wang, Jie Liu, and Min Zhang
Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), Vienna, Austria, July 27-August 1st, 2025
InImageTrans: Multimodal LLM-based Text Image Machine Translation [Paper and Bib]
Fei Zuo, Kehai Chen*, Yu Zhang, Zhengshan Xue, and Min Zhang
Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), Vienna, Austria, July 27-August 1st, 2025
LLM-based Translation Inference with Iterative Bilingual Understanding [Paper and Bib]
Andong Chen, Kehai Chen*, Yang Xiang, Xuefeng Bai, Muyun Yang, Yang Feng, Tiejun Zhao, and Min Zhang
Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), Vienna, Austria, July 27-August 1st, 2025
Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning [Paper and Bib]
Mufan Xu, Gewen Liang, Kehai Chen*, Wei Wang*, Xun Zhou, Muyun Yang, Tiejun Zhao, and Min Zhang
Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), Vienna, Austria, July 27-August 1st, 2025
MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal Models [Paper and Bib]
Bohan Jin, Shuhan Qi, Kehai Chen, Xinyi Guo, and Xuan Wang
Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), Vienna, Austria, July 27-August 1st, 2025
Tool learning via Inference-time Scaling and Cycle Verifier [Paper and Bib]
Xiaobo liang, Wenjin Xie, Juntao Li, Wanfu Wang, Yibin Chen, Kehai Chen, and Min Zhang
Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), Vienna, Austria, July 27-August 1st, 2025
From Awareness to Adaptability: Enhancing Tool Utilization for Reasoning [Paper and Bib]
Wenjing Xie, Xiaobo liang, Juntao Li, Wanfu Wang, Kehai Chen, Qiaoming Zhu, and Min Zhang
Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), Vienna, Austria, July 27-August 1st, 2025
TF-Attack: Transferable and fast adversarial attacks on large language models [Paper and Bib]
Zelin Li, Kehai Chen, Lemao Liu, Xuefeng Bai, Mingming Yang, Yang Xiang, and Min Zhang
Knowledge-Based Systems (KBS), Feb 2025
Look before You Leap: Enhance Attention and Vigilance regarding Harmful Content with GuidelineLLM [Paper and Bib]
Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen*, Rongxiang Weng, Muyun Yang, Tiejun Zhao, and Min Zhang
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, PA, Feb 2025
ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty [Paper and Bib]
Meizhi Zhong, Xikai Liu, Chen Zhang, Yikun Lei, Yan Gao, Yao Hu, Kehai Chen*, and Min Zhang
The 31st International Conference on Computational Linguistics (COLING), Abu Dhabi, UAE, January 2025
Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective [Paper and Bib]
Meizhi Zhong, Chen Zhang, Yikun Lei, Xikai Liu, Yan Gao, Yao Hu, Kehai Chen*, and Min Zhang
The 31st International Conference on Computational Linguistics (COLING), Abu Dhabi, UAE, January 2025
2024 |
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering [Paper and Bib]
Yu Zhang, Kehai Chen*, Xuefeng Bai, Zhao Kang, Quanjiang Guo and Min Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), Miami, Florida, Nov 2024
Dynamic Planning for LLM-based Graphical User Interface Automation [Paper and Bib]
Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen*, Xinbei Ma, Muyun Yang, Tiejun Zhao and Min Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), Miami, Florida, Nov 2024
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization [Paper and Bib]
Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen and Min Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), Miami, Florida, Nov 2024
EmoCRT: An Emotion-cause Relation Enhanced Model for Causal Emotion Entailment [Paper and Bib]
ZhilongZhao, Bing Xu, Bufan Xu, Muyun Yang, Kehai Chen, Tiejun Zhao
The 13th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), Hangzhou, China, November 2024
Context Consistency between Training and Inference in Simultaneous Machine Translation [Paper and Bib]
Meizhi Zhong, Lemao Liu*, Kehai Chen*, Mingming Yang, and Min Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, August 2024
On the Hallucination in Simultaneous Machine Translation [Paper and Bib]
Meizhi Zhong, Kehai Chen*, Zhengshan Xue, Lemao Liu, Mingming Yang, and Min Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, August 2024
DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms [Paper and Bib]
Andong Chen, Lianzhang Lou, Kehai Chen*, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, and Min Zhan
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, August 2024
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation [Paper and Bib]
Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, and Min Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, August 2024
Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model [Paper and Bib]
Hongbin Zhang, Kehai Chen*, Xuefeng Bai, Yang Xiang, and Min Zhang
Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL Findings), Bangkok, Thailand, August 2024
Unsupervised Sign Language Translation and Generation [Paper and Bib]
Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen*, Zhaopeng Tu, Yong Xu, and Min Zhang
Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL Findings), Bangkok, Thailand, August 2024
Efficient Domain Adaptation for Non-Autoregressive Machine Translation [Paper and Bib]
WangJie You, Pei Guo, Juntao Li, Kehai Chen, and Min Zhang
Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL Findings), Bangkok, Thailand, August 2024
2023 |
INFORM: Information eNtropy based multi-step reasoning FOR large language Models [Paper and Bib]
Chuyue Zhou, WangJie You, Juntao Li, Jing Ye, Kehai Chen, and Min Zhang
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec 2023
PromptST: Abstract Prompt Learning for End-to-End Speech Translation [Paper and Bib]
Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, and Min Zhang
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec 2023
Improving Low-resource Question Answering by Augmenting Question Information [Paper and Bib]
Andong Chen, Yuan Sun, Xiaobing Zhao, Rosella P. Galindo Esparza, Kehai Chen, Yang Xiang, Tiejun Zhao, and Min Zhang
Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), Singapore, Dec 2023
Multi-view fusion for universal translation quality estimation [Paper and Bib]
Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang and Tiejun Zhao
Information Fusion, Early Access, September 2023
Modeling Inter-Aspect Relations with Clause and Contrastive Learning for Aspect-Based Sentiment Analysis [Paper and Bib]
Zhixun Qiu, Kehai Chen, Yun Xue, Zhihao Ma and Zhengxuan Zhang
IEEE Transactions on Computational Social Systems (TCSS), Accepted, 2023
Improving Translation Quality Estimation with Bias Mitigation [Paper and Bib]
Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang and Tiejun Zhao
The 61th Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, July 2023
Universal Multimodal Representation for Language Understanding [Paper and Bib]
Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, and Hai Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2023
2022 |
Document-Level Relation Extraction with Path Reasoning [Paper and Bib]
Wang Xu, Kehai Chen, and Tiejun Zhao
Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Accepted, November 2022
Effective Graph Context Representation for Document-level Machine Translation [Paper and Bib]
Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, and Min Zhang
The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI), July, 2022
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing [Paper and Bib]
Wang Xu, Kehai Chen, Lili Mou, and Tiejun Zhao
The 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), July, 2022
Data-driven Fuzzy Target Representation for Intelligent Translation System [Paper and Bib]
Kehai Chen, Muyun Yang, Tiejun Zhao, and Min Zhang
IEEE Transactions on Fuzzy Systems (TFS), April 2022 (Early Access)
Synchronous Refinement for Neural Machine Translation [Paper and Bib]
Kehai Chen, Masao Utiyama, Eiichiro Sumita, Rui Wang, and Min Zhang
The 60th Annual Meeting of the Association for Computational Linguistics (ACL-Findings), May, 2022
Integrating Prior Translation Knowledge into Neural Machine Translation [Paper and Bib]
Kehai Chen, Rui Wang, Masao Utiyama, and Eiichiro Sumita
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 30, pp. 330-339, 2022
Advancing Chinese Event Detection via Revisiting Character Information [Paper and Bib]
Yanxia Qin, Zhongqin Wang, Yue Zhang, Kehai Chen, and Min Zhang
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), vol. 21, No. 78, pp. 1–9, July 2022
2021 |
Discriminative Reasoning for Document-level Relation Extraction [Paper and Bib]
Wang Xu, Kehai Chen, and Tiejun Zhao
Findings of The 59th Annual Meeting of the Association for Computational Linguistics (ACL-Findings), August, 2021
Context-Aware Positional Representation for Self-Attention Networks [Paper and Bib]
Kehai Chen, Rui Wang, Masao Utiyama, and Eiichiro Sumita
Neurocomputing, Volume 451, Pages 46-563, September 2021
Document-Level Relation Extraction with Reconstruction [Paper and Bib]
Wang Xu, Kehai Chen, and Tiejun Zhao
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), February, 2021
A Pattern Driven Graph Ranking Approach to Attribute Extraction for Knowledge Graph [Paper and Bib]
Muyun Yang, Kehai Chen, Shuqi Sun, Zhongyuan Han, Leilei Kong, and Qingye Meng
IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 1250-1259, Feb. 2021
Modeling Future Cost for Neural Machine Translation [Paper and Bib]
Chaoqun Duan, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Conghui Zhu, and Tiejun Zhao
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 29, pp. 770-781, 2021
Syntax in End-to-End Natural Language Processing [Paper and Bib]
Hai Zhao, Rui Wang, and Kehai Chen
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP-Tutorial), November 2021
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios [Paper and Bib]
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita and Tiejun Zhao
The 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), June 2021
Text Compression-aided Transformer Encoding [Paper and Bib]
Zuchao Li, Zhuosheng Zhang, Hai Zhao, Rui Wang, Kehai Chen, Masao Utiyama, and Eiichiro Sumita
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2021
Unsupervised Neural Machine Translation for Similar and Distant Language Pairs: An Empirical Study [Paper and Bib]
Haipeng Sun, Rui Wang, Masao Utiyama, Benjamin Marie, Kehai Chen, Eiichiro Sumita, and Tiejun Zhao
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), vol.20, April 2021
2020 |
Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training [Paper and Bib]
Haipeng Sun, Rui Wang, Kehai Chen, Xugang Lu, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao
The 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain, December, 2020
Robust Machine Reading Comprehension by Learning Soft labels [Paper and Bib]
Zhenyu Zhao, Shuangzhi Wu, Muyun Yang, Kehai Chen, Tiejun Zhao
The 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain, December, 2020
Towards More Diverse Input Representation for Neural Machine Translation [Paper and Bib]
Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao, Muyun Yang, and Hai Zhao
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 28, pp. 1586-1597, December 2020
Content Word Aware Neural Machine Translation [Paper and Bib][Slides]
Kehai Chen, Rui Wang, Masao Utiyama, and Eiichiro Sumita
The 58th Annual Meeting of the Association for Computational Linguistics (ACL), Seattle, USA, July 2020
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation [Paper and Bib]
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao
The 58th Annual Meeting of the Association for Computational Linguistics (ACL), Seattle, USA, July 2020
End-to-end Speech Translation with Adversarial Training[Paper and Bib]
Xuancai Li, Kehai Chen, Tiejun Zhao, and Muyun Yang
The First Workshop on Automatic Simultaneous Translation, Seattle, USA, July 2020
Data-dependent Gaussian Prior Objective for Language Generation [Paper and Bib]
Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, and Hai Zhao
Eighth International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 2020
Neural Machine Translation with Universal Visual Representation [Paper and Bib]
Zhuosheng Zhang, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Zuchao Li, and Hai Zhao
Eighth International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 2020
Explicit Sentence Compression for Neural Machine Translation [Paper and Bib]
Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, and Hai Zhao
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 2020
A Novel Sentence-Level Agreement Architecture for Neural Machine Translation [Paper and Bib]
Mingming Yang, Rui Wang, Kehai Chen, Xing Wang, Tiejun Zhao, and Min Zhang
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 28, pp. 2585-2597, 2020
Unsupervised Neural Machine Translation with Cross-lingual Language Representation Agreement [Paper and Bib]
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 28, pp. 1170-1182, December 2020
A Hierarchical Clustering Approach to Fuzzy Semantic Representation of Rare Words in Neural Machine Translation [Paper and Bib]
Muyun Yang, Shujie Liu, Kehai Chen, Hongyang Zhang, Enbo Zhao, and Tiejun Zhao
IEEE Transactions on Fuzzy Systems (TFS), vol. 28, no. 5, pp. 992-1002, May 2020
2019 |
NICT’s Machine Translation Systems for CCMT-2019 Translation Task [Paper and Bib][Poster]
Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita
China Conference on Machine Translation (CCMT), Nanchang, China, Semtember 2019
Recurrent Positional Embedding for Neural Machine Translation [Paper and Bib][Poster]
Kehai Chen, Rui Wang, Masao Utiyama, and Eiichiro Sumita
The 2019 Conference on Empirical Methods in Natural Language Processing and The 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, November 2019
NICT's Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task [Paper and Bib]
Benjamin Marie, Haipeng Sun, Rui Wang, Kehai Chen, Atsushi Fujita, Masao Utiyama and Eiichiro Sumita
The 4th Conference on Machine Translation (WMT), Florence, Italy, July 2019
Note: 1st in the only unsupervised MT task (German-Czech) by BLEU and human evaluation
Neural Machine Translation with Reordering Embeddings [Paper and Bib][Slides]
Kehai Chen, Rui Wang, Masao Utiyama, and Eiichiro Sumita
The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 2019
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation [Paper and Bib]
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao
The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 2019
Sentence-Level Agreement for Neural Machine Translation [Paper and Bib]
Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Min Zhang, and Tiejun Zhao
The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 2019
Lattice-Based Transformer Encoder for Neural Machine Translation [Paper and Bib]
Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, and Kehai Chen
The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 2019
Neural Machine Translation with Sentence-level Topic Context [Paper and Bib]
Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 27, no. 12, pp. 1970-1984, December 2019
A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon Induction [Paper and Bib]
Xuefeng Bai, Hailong Cao, Kehai Chen, and Tiejun Zhao
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 27, no. 10, pp. 1639-1648, October 2019
Automatic Diagnosis of Cardiac Arrhythmia in Electrocardiograms via Multigranulation Computing [Paper and Bib]
Fenghuan Li, Kehai Chen*, Jie Ling, Yinwei Zhan, and Gunasekaran Manogaran
Applied Soft Computing (ASC), Volume 80, Pages 400-413, July 2019
2018 |
Syntax-Directed Attention for Neural Machine Translation [Paper and Bib][Poster]
Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Lousiana, USA, February 2018
Sentence Selection and Weighting for Neural Machine Translation Domain Adaptation [Paper and Bib]
Rui Wang, Masao Utiyama, Andrew Finch, Lemao Liu, Kehai Chen, and Eiichro Sumita
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 26, no. 10, pp. 1727-1741, October 2018
A Neural Approach to Source Dependency-Based Context Model for Statistical Machine Translation [Paper and Bib]
Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu, Akihiro Tamura, Rui Wang, Masao Utiyama, and Eiichro Sumita
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 26, no. 2, pp. 266-280, February 2018
2017 |
Context-Aware Smoothing for Neural Machine Translation [Paper and Bib][Slides]
Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, and Tiejun Zhao
The 8th International Joint Conference on Natural Language Processing (IJCNLP), Chinese Taipei, November 2017
Neural Machine Translation with Source Dependency Representation [Paper and Bib][Slides]
Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, and Tiejun Zhao
The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, September 2017
Instance Weighting for Neural Machine Translation Domain Adaptation [Paper and Bib][Poster]
Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, and Eiichro Sumita
The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, September 2017
Translation Prediction with Source Dependency-Based Context Representation [Paper and Bib][Poster]
Kehai Chen, Tiejun Zhao, Muyun Yang, and Lemao Liu
The Thirty-First AAAI Conference on Artificial Intelligence (AAAI), San Francisco, California, USA, February 2017
