Kaiqiang Song

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 62

Top Topics

Sentence Extraction

Document Summarization

Top Venues

Publications

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
Can Large Language Models do Analytical Reasoning? CoRR (2024)
Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu
Polarity Calibration for Opinion Summarization. NAACL-HLT (2024)
Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu
Polarity Calibration for Opinion Summarization. CoRR (2024)
Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek F. Wong, Shuming Shi, Zhaopeng Tu
Benchmarking and Improving Long-Text Translation with Large Language Models. ACL (Findings) (2024)
Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets. CoRR (2024)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs. CoRR (2024)
Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
InFoBench: Evaluating Instruction Following Ability in Large Language Models. ACL (Findings) (2024)
Haoyu Wang, Hongming Zhang, Kaiqiang Song, Dong Yu, Dan Roth
Event Semantic Classification in Context. EACL (Findings) (2024)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs. ACL (1) (2024)
Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu
WPO: Enhancing RLHF with Weighted Preference Optimization. CoRR (2024)
Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. NAACL-HLT (2024)
Sangwoo Cho, Kaiqiang Song, Chao Zhao, Xiaoyang Wang, Dong Yu
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization. CoRR (2024)
Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu
InFoBench: Evaluating Instruction Following Ability in Large Language Models. CoRR (2024)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives. CoRR (2024)
Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models. CoRR (2023)
Siyi Liu, Hongming Zhang, Hongwei Wang, Kaiqiang Song, Dan Roth, Dong Yu
Open-Domain Event Graph Induction for Mitigating Framing Bias. CoRR (2023)
Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu
OASum: Large-Scale Open Domain Aspect-based Summarization. ACL (Findings) (2023)
Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu
Generating User-Engaging News Headlines. ACL (1) (2023)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
Analyzing Influential Factors in Human Preference Judgments via GPT-4. CoRR (2023)
Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen
PIVOINE: Instruction Tuning for Open-world Entity Profiling. EMNLP (Findings) (2023)
Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu
Unsupervised Multi-document Summarization with Holistic Inference. CoRR (2023)
Kaiqiang Song, Xiaoyang Wang, Sangwoo Cho, Xiaoman Pan, Dong Yu
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention. CoRR (2023)
Shuming Shi, Enbo Zhao, Wei Bi, Deng Cai, Leyang Cui, Xinting Huang, Haiyun Jiang, Duyu Tang, Kaiqiang Song, Longyue Wang, Chenyan Huang, Guoping Huang, Yan Wang, Piji Li
Effidit: An Assistant for Improving Writing Efficiency. ACL (demo) (2023)
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4. EMNLP (2023)
James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. EMNLP (2023)
Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen
How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. EACL (2023)
Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen
PIVOINE: Instruction Tuning for Open-world Information Extraction. CoRR (2023)
Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. CoRR (2023)
Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu
Unsupervised Multi-document Summarization with Holistic Inference. IJCNLP (Findings) (2023)
James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. CoRR (2023)
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
Toward Unifying Text Segmentation and Long Document Summarization. EMNLP (2022)
Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu
Salience Allocation as Guidance for Abstractive Summarization. CoRR (2022)
Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
Meta-learning without data via Wasserstein distributionally-robust model fusion. UAI (2022)
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. CoRR (2022)
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. EMNLP (Findings) (2022)
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. ACL (2) (2022)
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. CoRR (2022)
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
Towards Abstractive Grounded Summarization of Podcast Transcripts. CoRR (2022)
Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu
OASum: Large-Scale Open Domain Aspect-based Summarization. CoRR (2022)
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
Toward Unifying Text Segmentation and Long Document Summarization. CoRR (2022)
Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu
Salience Allocation as Guidance for Abstractive Summarization. EMNLP (2022)
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
Towards Abstractive Grounded Summarization of Podcast Transcripts. ACL (1) (2022)
Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang
CATE: Computation-aware Neural Architecture Encoding with Transformers. ICML (2021)
Kaiqiang Song, Fengzhi Cui, Jie Jiang
An Efficient Lightweight Neural Network for Remote Sensing Image Change Detection. Remote. Sens. 13 (24) (2021)
Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu
A New Approach to Overgenerating and Scoring Abstractive Summaries. NAACL-HLT (2021)
Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu
A New Approach to Overgenerating and Scoring Abstractive Summaries. CoRR (2021)
Shen Yan, Kaiqiang Song, Zhe Feng, Mi Zhang
CATE: Computation-aware Neural Architecture Encoding with Transformers. CoRR (2021)
Kaiqiang Song, Jie Jiang
AGCDetNet: An Attention-Guided Network for Building Change Detection in High-Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
Joint Parsing and Generation for Abstractive Summarization. AAAI (2020)
Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu
Controlling the Amount of Verbatim Copying in Abstractive Summarization. AAAI (2020)
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Zhe Feng
Automatic Summarization of Open-Domain Podcast Episodes. CoRR (2020)
Kaiqiang Song, Fei Liu, Chen Li, Xiaoyang Wang, Dong Yu
Automatic Summarization of Open-Domain Podcast Episodes. TREC (2020)
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
Better Highlighting: Creating Sub-Sentence Summary Highlights. EMNLP (1) (2020)
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
Better Highlighting: Creating Sub-Sentence Summary Highlights. CoRR (2020)
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
Scoring Sentence Singletons and Pairs for Abstractive Summarization. ACL (1) (2019)
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
Joint Parsing and Generation for Abstractive Summarization. CoRR (2019)
Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu
Controlling the Amount of Verbatim Copying in Abstractive Summarization. CoRR (2019)
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu
Scoring Sentence Singletons and Pairs for Abstractive Summarization. CoRR (2019)
Kaiqiang Song, Lin Zhao, Fei Liu
Structure-Infused Copy Mechanisms for Abstractive Summarization. CoRR (2018)
Logan Lebanoff, Kaiqiang Song, Fei Liu
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. CoRR (2018)
Kaiqiang Song, Lin Zhao, Fei Liu
Structure-Infused Copy Mechanisms for Abstractive Summarization. COLING (2018)
Logan Lebanoff, Kaiqiang Song, Fei Liu
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. EMNLP (2018)