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Philippe Laban
Philippe Laban
Research Scientist, Salesforce AI Research
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
SummaC: Re-visiting NLI-based models for inconsistency detection in summarization
P Laban, T Schnabel, PN Bennett, MA Hearst
Transactions of the Association for Computational Linguistics 10, 163-177, 2022
1982022
The summary loop: Learning to write abstractive summaries without examples
P Laban, A Hsi, J Canny, MA Hearst
arXiv preprint arXiv:2105.05361, 2021
552021
Understanding factual errors in summarization: Errors, summarizers, datasets, error detectors
L Tang, T Goyal, AR Fabbri, P Laban, J Xu, S Yavuz, W Kryściński, ...
arXiv preprint arXiv:2205.12854, 2022
502022
Keep it simple: Unsupervised simplification of multi-paragraph text
P Laban, T Schnabel, P Bennett, MA Hearst
arXiv preprint arXiv:2107.03444, 2021
422021
Mixqg: Neural question generation with mixed answer types
L Murakhovs' ka, CS Wu, P Laban, T Niu, W Liu, C Xiong
arXiv preprint arXiv:2110.08175, 2021
342021
newsLens: building and visualizing long-ranging news stories
P Laban, MA Hearst
Proceedings of the Events and Stories in the News Workshop, 1-9, 2017
302017
What's the latest? A question-driven news chatbot
P Laban, J Canny, MA Hearst
arXiv preprint arXiv:2105.05392, 2021
262021
Can transformer models measure coherence in text? re-thinking the shuffle test
P Laban, L Dai, L Bandarkar, MA Hearst
arXiv preprint arXiv:2107.03448, 2021
252021
Did you read the instructions? rethinking the effectiveness of task definitions in instruction learning
F Yin, J Vig, P Laban, S Joty, C Xiong, CSJ Wu
arXiv preprint arXiv:2306.01150, 2023
202023
Llms as factual reasoners: Insights from existing benchmarks and beyond
P Laban, W Kryściński, D Agarwal, AR Fabbri, C Xiong, S Joty, CS Wu
arXiv preprint arXiv:2305.14540, 2023
192023
Art or artifice? large language models and the false promise of creativity
T Chakrabarty, P Laban, D Agarwal, S Muresan, CS Wu
arXiv preprint arXiv:2309.14556, 2023
152023
Quiz design task: Helping teachers create quizzes with automated question generation
P Laban, CS Wu, L Murakhovs' ka, W Liu, C Xiong
arXiv preprint arXiv:2205.01730, 2022
142022
Long sequence modeling with xgen: A 7b llm trained on 8k input sequence length
E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ...
Salesforce AI Research Blog, 2023
132023
News headline grouping as a challenging nlu task
P Laban, L Bandarkar, MA Hearst
arXiv preprint arXiv:2105.05391, 2021
132021
Newspod: Automatic and interactive news podcasts
P Laban, E Ye, S Korlakunta, J Canny, M Hearst
27th International Conference on Intelligent User Interfaces, 691-706, 2022
92022
Embrace divergence for richer insights: A multi-document summarization benchmark and a case study on summarizing diverse information from news articles
KH Huang, P Laban, AR Fabbri, PK Choubey, S Joty, C Xiong, CS Wu
arXiv preprint arXiv:2309.09369, 2023
82023
Xgen-7b technical report
E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ...
arXiv preprint arXiv:2309.03450, 2023
72023
SWiPE: A dataset for document-level simplification of Wikipedia pages
P Laban, J Vig, W Kryscinski, S Joty, C Xiong, CS Wu
arXiv preprint arXiv:2305.19204, 2023
62023
SummEdits: Measuring LLM ability at factual reasoning through the lens of summarization
P Laban, W Kryściński, D Agarwal, AR Fabbri, C Xiong, S Joty, CS Wu
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
52023
Xiang’Anthony’Chen, and Caiming Xiong. 2023. Designing and evaluating interfaces that highlight news coverage diversity using discord questions
P Laban, CS Wu, L Murakhovs’Ka
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
52023
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