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Divyansh Agarwal
Divyansh Agarwal
Salesforce Research
Verified email at salesforce.com
Title
Cited by
Cited by
Year
Booksum: A collection of datasets for long-form narrative summarization
W Kryściński, N Rajani, D Agarwal, C Xiong, D Radev
arXiv preprint arXiv:2105.08209, 2021
1312021
Art or artifice? large language models and the false promise of creativity
T Chakrabarty, P Laban, D Agarwal, S Muresan, CS Wu
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-34, 2024
842024
kROp: k-Means clustering based routing protocol for opportunistic networks
DK Sharma, SK Dhurandher, D Agarwal, K Arora
Journal of Ambient Intelligence and Humanized Computing 10, 1289-1306, 2019
812019
EDR: an encounter and distance based routing protocol for opportunistic networks
SK Dhurandher, S Borah, I Woungang, DK Sharma, K Arora, D Agarwal
2016 IEEE 30th International Conference on Advanced Information Networking …, 2016
472016
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
382023
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
332023
Me, myself and my killfie: Characterizing and preventing selfie deaths
H Lamba, V Bharadhwaj, M Vachher, D Agarwal, M Arora, P Kumaraguru
arXiv preprint arXiv:1611.01911, 2016
312016
From camera to deathbed: Understanding dangerous selfies on social media
H Lamba, V Bharadhwaj, M Vachher, D Agarwal, M Arora, N Sachdeva, ...
Proceedings of the International AAAI Conference on Web and Social Media 11 …, 2017
182017
Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions
D Agarwal, AR Fabbri, P Laban, S Joty, C Xiong, CS Wu
arXiv preprint arXiv:2404.16251, 2024
92024
Augtriever: Unsupervised dense retrieval by scalable data augmentation
R Meng, Y Liu, S Yavuz, D Agarwal, L Tu, N Yu, J Zhang, M Bhat, Y Zhou
arXiv preprint arXiv:2212.08841, 2022
72022
Stop the killfies! using deep learning models to identify dangerous selfies
V Nanda, H Lamba, D Agarwal, M Arora, N Sachdeva, P Kumaraguru
Companion Proceedings of the The Web Conference 2018, 1341-1345, 2018
72018
CREATIVESUMM: Shared task on automatic summarization for creative writing
D Agarwal, AR Fabbri, S Han, W Kryściński, F Ladhak, B Li, K McKeown, ...
arXiv preprint arXiv:2211.05886, 2022
42022
Unsupervised dense retrieval deserves better positive pairs: Scalable augmentation with query extraction and generation
R Meng, Y Liu, S Yavuz, D Agarwal, L Tu, N Yu, J Zhang, M Bhat, Y Zhou
arXiv preprint arXiv:2212.08841, 2022
22022
SYSTEMS AND METHODS FOR FACTUAL NATURAL LANGAUGE PROCESSING
W Kryscinski, AR Fabbri, C Xiong, SR Joty, C Wu, D Agarwal, P Laban
US Patent App. 18/474,949, 2024
2024
Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications
D Agarwal, AR Fabbri, B Risher, P Laban, S Joty, CS Wu
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
2024
Evaluating Cultural and Social Awareness of LLM Web Agents
H Qiu, AR Fabbri, D Agarwal, KH Huang, S Tan, N Peng, CS Wu
arXiv preprint arXiv:2410.23252, 2024
2024
Systems and methods for multi-modal conversation summarization on a conversation platform
D Agarwal, CS Wu, XIE Tian
US Patent App. 18/054,511, 2024
2024
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