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ORCIDXiaojun Wan 0001
Person information
- affiliation: Peking University, Institute of Computer Science and Technology, MOE Key Laboratory of Computational Linguistics, Beijing, China
Other persons with the same name
- Xiaojun Wan 0002 — China Agricultural University, China
- Xiaojun Wan 0003 — Tongji University, Shanghai, China
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2020 – today
- 2024
[c239]Jie Ruan, Xiao Pu, Mingqi Gao, Xiaojun Wan, Yuesheng Zhu:
Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling. AAAI 2024: 18915-18923- [c238]Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan:
History Matters: Temporal Knowledge Editing in Large Language Model. AAAI 2024: 19413-19421 - [c237]Baizhou Huang, Shuai Lu, Xiaojun Wan, Nan Duan:
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency. ACL (1) 2024: 1429-1450 - [c236]Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan:
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation. ACL (1) 2024: 2270-2286 - [c235]Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, Teng Xu, Xiaojun Wan:
Are LLM-based Evaluators Confusing NLG Quality Criteria? ACL (1) 2024: 9530-9570 - [c234]Jin Jiang, Xunjian Yin, Xiaojun Wan, Wei Peng, Rongjun Li, Jingyuan Yang, Yanquan Zhou:
Contextual Modeling for Document-level ASR Error Correction. LREC/COLING 2024: 3855-3867 - [c233]Xunjian Yin, Xinyu Hu, Jin Jiang, Xiaojun Wan:
Error-Robust Retrieval for Chinese Spelling Check. LREC/COLING 2024: 6257-6267 - [c232]Huixuan Zhang, Xiaojun Wan:
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection. LREC/COLING 2024: 8652-8661 - [c231]Xiao Pu, Mingqi Gao, Xiaojun Wan:
Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks. LREC/COLING 2024: 9389-9404 - [c230]Huixuan Zhang, Yun Lin, Xiaojun Wan:
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models. EMNLP (Findings) 2024: 1794-1809 - [c229]Xiao Pu, Tianxing He, Xiaojun Wan:
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles. EMNLP (Findings) 2024: 14533-14549 - [c228]Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan:
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability. EMNLP 2024: 15924-15951 - [c227]Jin Jiang, Xiaojun Wan, Wei Peng, Rongjun Li, Jingyuan Yang, Yanquan Zhou:
Cross Modal Training for ASR Error Correction with Contrastive Learning. ICASSP 2024: 12246-12250 - [c226]Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang:
Selecting Large Language Model to Fine-tune via Rectified Scaling Law. ICML 2024 - [c225]Hui Liu
, Xiaojun Wan:
QAVidCap: Enhancing Video Captioning through Question Answering Techniques. ICMR 2024: 155-164 - [c224]Jie Ruan, Wenqing Wang, Xiaojun Wan:
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation. NAACL-HLT 2024: 7965-7989 - [c223]Jie Ruan, Yue Wu, Xiaojun Wan, Yuesheng Zhu:
Describe Images in a Boring Way: Towards Cross-Modal Sarcasm Generation. WACV 2024: 5689-5698 - [i85]Mingqi Gao, Xinyu Hu, Jie Ruan, Xiao Pu, Xiaojun Wan:
LLM-based NLG Evaluation: Current Status and Challenges. CoRR abs/2402.01383 (2024) - [i84]Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang:
Selecting Large Language Model to Fine-tune via Rectified Scaling Law. CoRR abs/2402.02314 (2024) - [i83]Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan:
Benchmarking Knowledge Boundary for Large Language Model: A Different Perspective on Model Evaluation. CoRR abs/2402.11493 (2024) - [i82]Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, Teng Xu, Xiaojun Wan:
Are LLM-based Evaluators Confusing NLG Quality Criteria? CoRR abs/2402.12055 (2024) - [i81]Junzhe Zhang, Huixuan Zhang, Xiaojun Wan:
Entity-Aware Multimodal Alignment Framework for News Image Captioning. CoRR abs/2402.19404 (2024) - [i80]Xu Zhang, Xiaojun Wan:
DPP-Based Adversarial Prompt Searching for Lanugage Models. CoRR abs/2403.00292 (2024) - [i79]Huixuan Zhang, Junzhe Zhang, Xiaojun Wan:
Evaluating and Mitigating Number Hallucinations in Large Vision-Language Models: A Consistency Perspective. CoRR abs/2403.01373 (2024) - [i78]Zheng Li, Xiang Chen, Xiaojun Wan:
WikiTableEdit: A Benchmark for Table Editing by Natural Language Instruction. CoRR abs/2403.02962 (2024) - [i77]Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin:
Automated Similarity Metric Generation for Recommendation. CoRR abs/2404.11818 (2024) - [i76]Baizhou Huang, Xiaojun Wan:
WaterPool: A Watermark Mitigating Trade-offs among Imperceptibility, Efficacy and Robustness. CoRR abs/2405.13517 (2024) - [i75]Jie Ruan, Wenqing Wang, Xiaojun Wan:
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation. CoRR abs/2406.07935 (2024) - [i74]Jie Ruan, Xiao Pu, Mingqi Gao, Xiaojun Wan, Yuesheng Zhu:
Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling. CoRR abs/2406.07967 (2024) - [i73]Xu Zhang, Xunjian Yin, Xiaojun Wan:
ContraSolver: Self-Alignment of Language Models by Resolving Internal Preference Contradictions. CoRR abs/2406.08842 (2024) - [i72]Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Baizhou Huang, Xu Zhang, Xinyu Hu, Xiaojun Wan:
MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency. CoRR abs/2406.13219 (2024) - [i71]Huixuan Zhang, Yun Lin, Xiaojun Wan:
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models. CoRR abs/2406.18326 (2024) - [i70]Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan:
Themis: Towards Flexible and Interpretable NLG Evaluation. CoRR abs/2406.18365 (2024) - [i69]Jiatao Li, Xinyu Hu, Xiaojun Wan:
SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval. CoRR abs/2409.13992 (2024) - [i68]Xunjian Yin, Xinyi Wang, Liangming Pan, Xiaojun Wan, William Yang Wang:
Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement. CoRR abs/2410.04444 (2024) - [i67]Jiatao Li, Xinyu Hu, Xunjian Yin, Xiaojun Wan:
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models. CoRR abs/2410.13192 (2024) - [i66]Xiao Pu, Tianxing He, Xiaojun Wan:
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles. CoRR abs/2410.14042 (2024) - [i65]Mingqi Gao, Xinyu Hu, Li Lin, Xiaojun Wan:
Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation. CoRR abs/2410.16834 (2024) - 2023
- [j30]Ke Wang, Xiaojun Wan:
Counterfactual Representation Augmentation for Cross-Domain Sentiment Analysis. IEEE Trans. Affect. Comput. 14(3): 1979-1990 (2023) - [j29]Xinyu Hu, Xiaojun Wan:
RST Discourse Parsing as Text-to-Text Generation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3278-3289 (2023) - [c222]Xu Zhang, Xiaojun Wan:
MIL-Decoding: Detoxifying Language Models at Token-Level via Multiple Instance Learning. ACL (1) 2023: 190-202 - [c221]Shiping Yang, Renliang Sun, Xiaojun Wan:
A New Dataset and Empirical Study for Sentence Simplification in Chinese. ACL (1) 2023: 8306-8321 - [c220]Renliang Sun, Wei Xu, Xiaojun Wan:
Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification. ACL (Findings) 2023: 9345-9355 - [c219]Mingqi Gao, Wenqing Wang, Xiaojun Wan, Yuemei Xu:
Evaluating Factuality in Cross-lingual Summarization. ACL (Findings) 2023: 12415-12431 - [c218]Junzhe Zhang, Xiaojun Wan:
Exploring the Impact of Vision Features in News Image Captioning. ACL (Findings) 2023: 12923-12936 - [c217]Mingqi Gao, Xiaojun Wan, Jia Su, Zhefeng Wang, Baoxing Huai:
Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework. ACL (1) 2023: 13932-13959 - [c216]Renliang Sun, Zhixian Yang, Xiaojun Wan:
Exploiting Summarization Data to Help Text Simplification. EACL 2023: 39-51 - [c215]Xunjian Yin, Baizhou Huang, Xiaojun Wan:
ALCUNA: Large Language Models Meet New Knowledge. EMNLP 2023: 1397-1414 - [c214]Shiping Yang, Renliang Sun, Xiaojun Wan:
A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection. EMNLP (Findings) 2023: 3898-3908 - [c213]Zhaohong Wan, Xiaojun Wan, Wei Peng, Rongjun Li:
New Datasets and Controllable Iterative Data Augmentation Method for Code-switching ASR Error Correction. EMNLP (Findings) 2023: 8075-8087 - [c212]Hui Liu, Xiaojun Wan:
Models See Hallucinations: Evaluating the Factuality in Video Captioning. EMNLP 2023: 11807-11823 - [c211]Xinyu Hu, Xiaojun Wan:
Exploring Discourse Structure in Document-level Machine Translation. EMNLP 2023: 13889-13902 - [c210]Xinyu Hu, Xunjian Yin, Xiaojun Wan:
Exploring Context-Aware Evaluation Metrics for Machine Translation. EMNLP (Findings) 2023: 15291-15298 - [c209]Zi Chai, Xiaojun Wan, Soyeon Caren Han, Josiah Poon:
Visual Question Generation Under Multi-granularity Cross-Modal Interaction. MMM (1) 2023: 255-266 - [c208]Yunxiang Zhang, Xiaojun Wan:
SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning. NeurIPS 2023 - [c207]Baizhou Huang, Shikang Du, Xiaojun Wan:
CrossDial: An Entertaining Dialogue Dataset of Chinese Crosstalk. NLPCC (1) 2023: 42-53 - [c206]Xunjian Yin, Xiaojun Wan, Dan Zhang, Linlin Yu, Long Yu:
Overview of the NLPCC 2023 Shared Task: Chinese Spelling Check. NLPCC (3) 2023: 337-345 - [c205]Fan Xu, Ziyun Zhu, Xiaojun Wan:
Creative Destruction: Can Language Models Interpret Oxymorons? NLPCC (1) 2023: 645-656 - [c204]Xiang Chen, Zheng Li, Xiaojun Wan:
WikiIns: A High-Quality Dataset for Controlled Text Editing by Natural Language Instruction. NLPCC (2) 2023: 826-837 - [i64]Renliang Sun, Zhixian Yang, Xiaojun Wan:
Exploiting Summarization Data to Help Text Simplification. CoRR abs/2302.07124 (2023) - [i63]Hui Liu, Xiaojun Wan:
Models See Hallucinations: Evaluating the Factuality in Video Captioning. CoRR abs/2303.02961 (2023) - [i62]Mingqi Gao, Jie Ruan, Renliang Sun, Xunjian Yin, Shiping Yang, Xiaojun Wan:
Human-like Summarization Evaluation with ChatGPT. CoRR abs/2304.02554 (2023) - [i61]Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose Maria Alonso-Moral, Mohammad Arvan, Jackie Chi Kit Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang:
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - [i60]Renliang Sun, Wei Xu, Xiaojun Wan:
Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification. CoRR abs/2305.12463 (2023) - [i59]Xiao Pu, Mingqi Gao, Xiaojun Wan:
Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks. CoRR abs/2305.15044 (2023) - [i58]Shiping Yang, Renliang Sun, Xiaojun Wan:
A New Dataset and Empirical Study for Sentence Simplification in Chinese. CoRR abs/2306.04188 (2023) - [i57]Mingqi Gao, Xiaojun Wan, Jia Su, Zhefeng Wang, Baoxing Huai:
Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework. CoRR abs/2306.05119 (2023) - [i56]Yunxiang Zhang, Xiaojun Wan:
SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning. CoRR abs/2306.12552 (2023) - [i55]Huixuan Zhang, Xiaojun Wan:
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection. CoRR abs/2307.00209 (2023) - [i54]Xunjian Yin, Xiaojun Wan:
A Comprehensive Evaluation and Analysis Study for Chinese Spelling Check. CoRR abs/2307.13655 (2023) - [i53]Xiao Pu, Mingqi Gao, Xiaojun Wan:
Summarization is (Almost) Dead. CoRR abs/2309.09558 (2023) - [i52]Baizhou Huang, Shuai Lu, Weizhu Chen, Xiaojun Wan, Nan Duan:
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency. CoRR abs/2309.17272 (2023) - [i51]Xiang Chen, Zheng Li, Xiaojun Wan:
WikiIns: A High-Quality Dataset for Controlled Text Editing by Natural Language Instruction. CoRR abs/2310.05009 (2023) - [i50]Shiping Yang, Renliang Sun, Xiaojun Wan:
A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection. CoRR abs/2310.06498 (2023) - [i49]Xunjian Yin, Baizhou Huang, Xiaojun Wan:
ALCUNA: Large Language Models Meet New Knowledge. CoRR abs/2310.14820 (2023) - [i48]Xiang Chen, Xiaojun Wan:
A Comprehensive Evaluation of Constrained Text Generation for Large Language Models. CoRR abs/2310.16343 (2023) - [i47]Yuchen Shen, Xiaojun Wan:
OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization. CoRR abs/2310.18122 (2023) - [i46]Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan:
History Matters: Temporal Knowledge Editing in Large Language Model. CoRR abs/2312.05497 (2023) - 2022
- [c203]Yunxiang Zhang, Xiaojun Wan:
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles. AAAI 2022: 11748-11756 - [c202]Sheng Xu, Xiaojun Wan:
Automatic Slides Generation for Scholarly Papers: A Fine-Grained Dataset and Baselines (Student Abstract). AAAI 2022: 13093-13094 - [c201]Sheng Xu, Xiaojun Wan:
PosterBot: A System for Generating Posters of Scientific Papers with Neural Models. AAAI 2022: 13233-13235 - [c200]Xunjian Yin, Xiaojun Wan:
How Do Seq2Seq Models Perform on End-to-End Data-to-Text Generation? ACL (1) 2022: 7701-7710 - [c199]Zhixian Yang, Xiaojun Wan:
Dependency-based Mixture Language Models. ACL (1) 2022: 7758-7773 - [c198]Zhe Lin, Xiaojun Wan:
Visual Information Guided Zero-Shot Paraphrase Generation. COLING 2022: 6530-6539 - [c197]Zhixian Yang, Pengxuan Xu, Xiaojun Wan:
Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling. COLING 2022: 6547-6563 - [c196]Ye Wang, Xiaojun Wan, Zhiping Cai:
Guiding Abstractive Dialogue Summarization with Content Planning. EMNLP (Findings) 2022: 3408-3413 - [c195]Sheng Xu, Xiaojun Wan, Sen Hu, Mengdi Zhou, Teng Xu, Hongbin Wang, Haitao Mi:
COSSUM: Towards Conversation-Oriented Structured Summarization for Automatic Medical Insurance Assessment. KDD 2022: 4248-4256 - [c194]Zhixian Yang, Renliang Sun, Xiaojun Wan:
Nearest Neighbor Knowledge Distillation for Neural Machine Translation. NAACL-HLT 2022: 5546-5556 - [c193]Mingqi Gao, Xiaojun Wan:
DialSummEval: Revisiting Summarization Evaluation for Dialogues. NAACL-HLT 2022: 5693-5709 - [c192]Yunxiang Zhang, Xiaojun Wan:
MOVER: Mask, Over-generate and Rank for Hyperbole Generation. NAACL-HLT 2022: 6018-6030 - [c191]Xiang Chen, Zhixian Yang, Xiaojun Wan:
Relation-Constrained Decoding for Text Generation. NeurIPS 2022 - [c190]Siqu Long, Soyeon Caren Han, Xiaojun Wan, Josiah Poon:
GraDual: Graph-based Dual-modal Representation for Image-Text Matching. WACV 2022: 2463-2472 - [e5]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-65-0 [contents] - [e4]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 2: Short Papers, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-64-3 [contents] - [e3]Hanqi Yan, Zonghan Yang, Sebastian Ruder, Xiaojun Wan:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Student Research Workshop, Online, November 20, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-56-8 [contents] - [e2]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-04-3 [contents] - [i45]Zhe Lin, Xiaojun Wan:
Visual Information Guided Zero-Shot Paraphrase Generation. CoRR abs/2201.09107 (2022) - [i44]Xiang Chen, Xiaojun Wan:
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis. CoRR abs/2201.12549 (2022) - [i43]Zhixian Yang, Xiaojun Wan:
Dependency-based Mixture Language Models. CoRR abs/2203.10256 (2022) - [i42]Renliang Sun, Xiaojun Wan:
SimpleBERT: A Pre-trained Model That Learns to Generate Simple Words. CoRR abs/2204.07779 (2022) - [i41]Zhixian Yang, Renliang Sun, Xiaojun Wan:
Nearest Neighbor Knowledge Distillation for Neural Machine Translation. CoRR abs/2205.00479 (2022) - [i40]Fan Xu, Yunxiang Zhang, Xiaojun Wan:
CC-Riddle: A Question Answering Dataset of Chinese Character Riddles. CoRR abs/2206.13778 (2022) - [i39]Baizhou Huang, Shikang Du, Xiaojun Wan:
CrossDial: An Entertaining Dialogue Dataset of Chinese Crosstalk. CoRR abs/2209.01370 (2022) - [i38]Xu Zhang, Xiaojun Wan:
An Empirical Study of Automatic Post-Editing. CoRR abs/2209.07759 (2022) - [i37]Mingqi Gao, Xiaojun Wan:
Social Biases in Automatic Evaluation Metrics for NLG. CoRR abs/2210.08859 (2022) - [i36]Xunjian Yin, Xinyu Hu, Xiaojun Wan:
Chinese Spelling Check with Nearest Neighbors. CoRR abs/2211.07843 (2022) - [i35]Jie Ruan, Yue Wu, Xiaojun Wan, Yuesheng Zhu:
How to Describe Images in a More Funny Way? Towards a Modular Approach to Cross-Modal Sarcasm Generation. CoRR abs/2211.10992 (2022) - 2021
- [j28]Junjie Cao, Zi Lin, Weiwei Sun, Xiaojun Wan:
Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing. Comput. Linguistics 47(1): 43-68 (2021) - [c189]Zhe Lin, Xiaojun Wan:
Neural Sentence Simplification with Semantic Dependency Information. AAAI 2021: 13371-13379 - [c188]Ke Wang, Guandan Chen, Zhongqiang Huang, Xiaojun Wan, Fei Huang:
Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation. AAAI 2021: 13970-13978 - [c187]Hui Liu, Xiaojun Wan:
Video Paragraph Captioning as a Text Summarization Task. ACL/IJCNLP (2) 2021: 55-60 - [c186]Ke Wang, Xiaojun Wan:
TransSum: Translating Aspect and Sentiment Embeddings for Self-Supervised Opinion Summarization. ACL/IJCNLP (Findings) 2021: 729-742 - [c185]Yitao Cai, Zhe Lin, Xiaojun Wan:
Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing. ACL/IJCNLP (Findings) 2021: 1537-1547 - [c184]Zhe Lin, Xiaojun Wan:
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach. ACL/IJCNLP (Findings) 2021: 1548-1557 - [c183]Xinyu Xing, Xiaojun Wan:
Structure-Aware Pre-Training for Table-to-Text Generation. ACL/IJCNLP (Findings) 2021: 2273-2278 - [c182]Xiang Chen, Yue Cao, Xiaojun Wan:
WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation. ACL/IJCNLP (Findings) 2021: 2366-2376 - [c181]