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Kaiqiang Song
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2020 – today
- 2024
- [c33]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: 267-278 - [c32]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: 7175-7187 - [c31]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: 13025-13048 - [c30]Haoyu Wang, Hongming Zhang, Kaiqiang Song, Dong Yu, Dan Roth:
Event Semantic Classification in Context. EACL (Findings) 2024: 1395-1407 - [c29]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. EMNLP (Findings) 2024: 2306-2323 - [c28]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. EMNLP 2024: 4293-4308 - [c27]Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu:
WPO: Enhancing RLHF with Weighted Preference Optimization. EMNLP 2024: 8328-8340 - [c26]Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Skills-in-Context: Unlocking Compositionality in Large Language Models. EMNLP (Findings) 2024: 13838-13890 - [c25]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: 1287-1310 - [c24]Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu:
Polarity Calibration for Opinion Summarization. NAACL-HLT 2024: 5211-5224 - [i32]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 abs/2401.03601 (2024) - [i31]Sangwoo Cho, Kaiqiang Song, Chao Zhao, Xiaoyang Wang, Dong Yu:
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization. CoRR abs/2401.17597 (2024) - [i30]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 abs/2402.10979 (2024) - [i29]Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu:
Can Large Language Models do Analytical Reasoning? CoRR abs/2403.04031 (2024) - [i28]Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Ruihong Huang, Dong Yu:
Polarity Calibration for Opinion Summarization. CoRR abs/2404.01706 (2024) - [i27]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 abs/2406.11827 (2024) - [i26]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 abs/2406.12084 (2024) - [i25]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 abs/2407.01853 (2024) - [i24]Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou:
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy. CoRR abs/2410.09102 (2024) - 2023
- [c23]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: 508-515 - [c22]Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu:
Generating User-Engaging News Headlines. ACL (1) 2023: 3265-3280 - [c21]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: 4381-4401 - [c20]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: 2993-3002 - [c19]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: 8344-8357 - [c18]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: 14584-14595 - [c17]Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen:
PIVOINE: Instruction Tuning for Open-world Entity Profiling. EMNLP (Findings) 2023: 15108-15127 - [c16]Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu:
Unsupervised Multi-document Summarization with Holistic Inference. IJCNLP (Findings) 2023: 123-133 - [i23]Siyi Liu, Hongming Zhang, Hongwei Wang, Kaiqiang Song, Dan Roth, Dong Yu:
Open-Domain Event Graph Induction for Mitigating Framing Bias. CoRR abs/2305.12835 (2023) - [i22]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 abs/2305.14599 (2023) - [i21]Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu:
Analyzing Influential Factors in Human Preference Judgments via GPT-4. CoRR abs/2305.14702 (2023) - [i20]Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen:
PIVOINE: Instruction Tuning for Open-world Information Extraction. CoRR abs/2305.14898 (2023) - [i19]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 abs/2308.00304 (2023) - [i18]Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu:
Unsupervised Multi-document Summarization with Holistic Inference. CoRR abs/2309.04087 (2023) - [i17]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 abs/2311.10774 (2023) - [i16]Kaiqiang Song, Xiaoyang Wang, Sangwoo Cho, Xiaoman Pan, Dong Yu:
Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention. CoRR abs/2312.08618 (2023) - 2022
- [c15]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: 212-218 - [c14]Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu:
Towards Abstractive Grounded Summarization of Podcast Transcripts. ACL (1) 2022: 4407-4418 - [c13]Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu:
Toward Unifying Text Segmentation and Long Document Summarization. EMNLP 2022: 106-118 - [c12]Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. EMNLP (Findings) 2022: 182-197 - [c11]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: 6094-6106 - [c10]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: 2045-2055 - [i15]Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen:
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. CoRR abs/2203.10249 (2022) - [i14]Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu:
Towards Abstractive Grounded Summarization of Podcast Transcripts. CoRR abs/2203.11425 (2022) - [i13]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 abs/2210.12330 (2022) - [i12]Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu:
Toward Unifying Text Segmentation and Long Document Summarization. CoRR abs/2210.16422 (2022) - [i11]Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. CoRR abs/2212.01476 (2022) - [i10]Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu:
OASum: Large-Scale Open Domain Aspect-based Summarization. CoRR abs/2212.09233 (2022) - 2021
- [j2]Kaiqiang Song
, Fengzhi Cui, Jie Jiang:
An Efficient Lightweight Neural Network for Remote Sensing Image Change Detection. Remote. Sens. 13(24): 5152 (2021) - [j1]Kaiqiang Song
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: 4816-4831 (2021) - [c9]Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang:
CATE: Computation-aware Neural Architecture Encoding with Transformers. ICML 2021: 11670-11681 - [c8]Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu:
A New Approach to Overgenerating and Scoring Abstractive Summaries. NAACL-HLT 2021: 1392-1404 - [i9]Shen Yan, Kaiqiang Song, Zhe Feng, Mi Zhang:
CATE: Computation-aware Neural Architecture Encoding with Transformers. CoRR abs/2102.07108 (2021) - [i8]Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu:
A New Approach to Overgenerating and Scoring Abstractive Summaries. CoRR abs/2104.01726 (2021) - 2020
- [c7]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: 8894-8901 - [c6]Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu:
Controlling the Amount of Verbatim Copying in Abstractive Summarization. AAAI 2020: 8902-8909 - [c5]Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu:
Better Highlighting: Creating Sub-Sentence Summary Highlights. EMNLP (1) 2020: 6282-6300 - [c4]Kaiqiang Song, Fei Liu, Chen Li, Xiaoyang Wang, Dong Yu:
Automatic Summarization of Open-Domain Podcast Episodes. TREC 2020 - [i7]Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu:
Better Highlighting: Creating Sub-Sentence Summary Highlights. CoRR abs/2010.10566 (2020) - [i6]Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Zhe Feng:
Automatic Summarization of Open-Domain Podcast Episodes. CoRR abs/2011.04132 (2020)
2010 – 2019
- 2019
- [c3]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: 2175-2189 - [i5]Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu:
Scoring Sentence Singletons and Pairs for Abstractive Summarization. CoRR abs/1906.00077 (2019) - [i4]Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu:
Joint Parsing and Generation for Abstractive Summarization. CoRR abs/1911.10389 (2019) - [i3]Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu:
Controlling the Amount of Verbatim Copying in Abstractive Summarization. CoRR abs/1911.10390 (2019) - 2018
- [c2]Kaiqiang Song, Lin Zhao, Fei Liu:
Structure-Infused Copy Mechanisms for Abstractive Summarization. COLING 2018: 1717-1729 - [c1]Logan Lebanoff, Kaiqiang Song, Fei Liu:
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. EMNLP 2018: 4131-4141 - [i2]Kaiqiang Song, Lin Zhao, Fei Liu:
Structure-Infused Copy Mechanisms for Abstractive Summarization. CoRR abs/1806.05658 (2018) - [i1]Logan Lebanoff, Kaiqiang Song, Fei Liu:
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. CoRR abs/1808.06218 (2018)
Coauthor Index
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last updated on 2024-11-25 22:48 CET by the dblp team
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