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Kaiqiang Song (宋凯强）
Kaiqiang Song (宋凯强）
AI Scientist @ Zoom | Ex-Tencent
Geverifieerd e-mailadres voor zoom.us - Homepage
Titel
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Adapting the neural encoder-decoder framework from single to multi-document summarization
L Lebanoff, K Song, F Liu
EMNLP 2018, 2018
1962018
Scoring sentence singletons and pairs for abstractive summarization
L Lebanoff, K Song, F Dernoncourt, DS Kim, S Kim, W Chang, F Liu
ACL 2019, 2019
1322019
Mmc: Advancing multimodal chart understanding with large-scale instruction tuning
F Liu, X Wang, W Yao, J Chen, K Song, S Cho, Y Yacoob, D Yu
NAACL 2024, 2023
1012023
Structure-infused copy mechanisms for abstractive summarization
K Song, L Zhao, F Liu
COLING 2018, 2018
862018
Controlling the Amount of Verbatim Copying in Abstractive Summarization
K Song, B Wang, Z Feng, L Ren, F Liu
AAAI 2020, 2020
672020
Infobench: Evaluating instruction following ability in large language models
Y Qin, K Song, Y Hu, W Yao, S Cho, X Wang, X Wu, F Liu, P Liu, D Yu
arXiv preprint arXiv:2401.03601, 2024
612024
Toward Unifying Text Segmentation and Long Document Summarization
S Cho, K Song, X Wang, F Liu, D Yu
EMNLP 2022, 2022
392022
Salience Allocation as Guidance for Abstractive Summarization
F Wang, K Song, H Zhang, L Jin, S Cho, W Yao, X Wang, M Chen, D Yu
EMNLP 2022, 2022
332022
CATE: Computation-aware Neural Architecture Encoding with Transformers
S Yan, K Song, F Liu, M Zhang
ICML 2021, 2021
322021
Meta-learning without data via wasserstein distributionally-robust model fusion
Z Wang, X Wang, L Shen, Q Suo, K Song, D Yu, Y Shen, M Gao
Uncertainty in Artificial Intelligence, 2045-2055, 2022
272022
Joint Parsing and Generation for Abstractive Summarization
K Song, L Lebanoff, Q Guo, X Qiu, X Xue, C Li, D Yu, F Liu
AAAI 2020, 2020
272020
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
J Chen, X Pan, D Yu, K Song, X Wang, D Yu, J Chen
arXiv, 2023
242023
OASum: Large-Scale Open Domain Aspect-based Summarization
X Yang, K Song, S Cho, X Wang, X Pan, L Petzold, D Yu
ACL 2023, 2022
192022
A New Approach to Overgenerating and Scoring Abstractive Summaries
K Song, B Wang, Z Feng, F Liu
NAACL 2021, 2021
152021
Automatic Summarization of Open-Domain Podcast Episodes
K Song, C Li, X Wang, D Yu, F Liu
TREC 2020, 2020
14*2020
Wpo: Enhancing rlhf with weighted preference optimization
W Zhou, R Agrawal, S Zhang, SR Indurthi, S Zhao, K Song, S Xu, C Zhu
arXiv preprint arXiv:2406.11827, 2024
132024
Generating User-Engaging News Headlines
P Cai, K Song, S Cho, H Wang, X Wang, H Yu, F Liu, D Yu
ACL 2023, 2023
132023
Better Highlighting: Creating Sub-Sentence Summary Highlights
S Cho, K Song, C Li, D Yu, H Foroosh, F Liu
EMNLP 2020, 2020
132020
Decipherpref: Analyzing influential factors in human preference judgments via gpt-4
Y Hu, K Song, S Cho, X Wang, H Foroosh, F Liu
arXiv preprint arXiv:2305.14702, 2023
122023
Towards Abstractive Grounded Summarization of Podcast Transcripts
K Song, C Li, X Wang, D Yu, F Liu
ACL 2022, 2022
112022
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Artikelen 1–20