Publications

Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen (2023). PIVOINE: Instruction Tuning for Open-world Information Extraction. In EMNLP 2023 (Findings).

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Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu (2023). DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4. In EMNLP 2023.

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James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu (2023). Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. In EMNLP 2023.

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Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jiuanshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu (2023). MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. In ArXiv.org.

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Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Jiawei Zhang, Dong Yu (2023). Unsupervised Multi-document Summarization with Holistic Inference. In IJCNLP-AACL 2023 (Findings).

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Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen (2023). Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models. In ArXiv.org.

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Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda Petzold, Dong Yu (2023). OASum: Large-Scale Open Domain Aspect-based Summarization. In ACL 2023 (Findings).

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Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Dong Yu (2023). Generating User-Engaging News Headlines. In ACL 2023.

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Shuming Shi, Enbo Zhao, Wei Bi, Deng Cai, Leyang Cui, Xinting Huang, Haiyun Jiang, Duyu Tang, Kaiqiang Song, Longyue Wang, Chengyan Huang, Guoping Huang, Yan Wang, Piji Li (2023). Effidit: An Assistant for Improving Writing Efficiency. In ACL 2023 (Demo).

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Siyi Liu, Hongming Zhang, Hongwei Wang, Kaiqiang Song, Dan Roth, Dong Yu (2023). Open-Domain Event Graph Induction for Mitigating Framing Bias. In ArXiv.org.

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Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen (2023). How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. In EACL 2023.

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Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu (2022). Toward Unifying Text Segmentation and Long Document Summarization. In EMNLP 2022 (Oral).

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Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu (2022). Salience Allocation as Guidance for Abstractive Summarization. In EMNLP 2022.

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Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi (2022). NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. In EMNLP 2022 (Findings).

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Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu (2022). Towards Abstractive Grounded Summarization of Podcast Transcripts. In ACL 2022.

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Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen (2022). Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. In ACL 2022 (Short).

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Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao (2022). Meta-learning without data via Wasserstein distributionally-robust model fusion. In UAI 2022.

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Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu (2021). A New Approach to Overgenerating and Scoring Abstractive Summaries. In NAACL 2021.

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Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang (2021). CATE: Computation-aware Neural Architecture Encoding with Transformers. In ICML 2021 (Oral).

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Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu (2020). Better Highlighting: Creating Sub-Sentence Summary Highlights. In EMNLP 2020.

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Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu (2020). Automatic Summarization of Open-Domain Podcast Episodes. In TREC 2020 (2nd Place).

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Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu (2020). Joint Parsing and Generation for Abstractive Summarization. In AAAI 2020.

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Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu (2020). Controlling the Amount of Verbatim Copying in Abstractive Summarization. In AAAI 2020.

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Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu (2019). Scoring Sentence Singletons and Pairs for Abstractive Summarization. In ACL 2019.

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Logan Lebanoff, Kaiqiang Song, Fei Liu (2018). Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. In EMNLP 2018.

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Kaiqiang Song, Lin Zhao, Fei Liu (2018). Structure-Infused Copy Mechanisms for Abstractive Summarization. In COLING 2018 (Oral).

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