Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gaonkar, Radhika"'
Autor:
Siddiqui, Shoaib Ahmed, Gaonkar, Radhika, Köpf, Boris, Krueger, David, Paverd, Andrew, Salem, Ahmed, Tople, Shruti, Wutschitz, Lukas, Xia, Menglin, Zanella-Béguelin, Santiago
Large Language Models (LLMs) are rapidly becoming commodity components of larger software systems. This poses natural security and privacy problems: poisoned data retrieved from one component can change the model's behavior and compromise the entire
Externí odkaz:
http://arxiv.org/abs/2410.03055
Autor:
Liu, Ruibo, Zheng, Guoqing, Gupta, Shashank, Gaonkar, Radhika, Gao, Chongyang, Vosoughi, Soroush, Shokouhi, Milad, Awadallah, Ahmed Hassan
Pre-trained language models (LMs) have been shown to memorize a substantial amount of knowledge from the pre-training corpora; however, they are still limited in recalling factually correct knowledge given a certain context. Hence, they tend to suffe
Externí odkaz:
http://arxiv.org/abs/2204.03084
Fine-tuning pre-trained language models improves the quality of commercial reply suggestion systems, but at the cost of unsustainable training times. Popular training time reduction approaches are resource intensive, thus we explore low-cost model co
Externí odkaz:
http://arxiv.org/abs/2111.13999
Autor:
Gaonkar, Radhika, Kwon, Heeyoung, Bastan, Mohaddeseh, Balasubramanian, Niranjan, Chambers, Nathanael
Predicting how events induce emotions in the characters of a story is typically seen as a standard multi-label classification task, which usually treats labels as anonymous classes to predict. They ignore information that may be conveyed by the emoti
Externí odkaz:
http://arxiv.org/abs/2006.05489
Publikováno v:
Gaonkar, R, Tavakol, M & Brefeld, U 2018, MDP-based itinerary recommendation using geo-tagged social media . in W Duivesteijn, A Siebes & A Ukkonen (eds), Advances in Intelligent Data Analysis XVII-17th International Symposium, IDA 2018, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. 11191, Springer Nature, Basel, pp. 111-123, 17th International Symposium on Intelligent Data Analysis-IDA 2018, ‘s-Hertogenbosch, Netherlands, 24.10.18 . DOI: 10.1007/978-3-030-01768-2_10
Gaonkar, R, Tavakol, M & Brefeld, U 2018, MDP-based itinerary recommendation using geo-tagged social media . in W Duivesteijn, A Siebes & A Ukkonen (eds), Advances in Intelligent Data Analysis XVII-17th International Symposium, IDA 2018, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. 11191, Springer Nature AG, Basel, pp. 111-123, 17th International Symposium on Intelligent Data Analysis-IDA 2018, ‘s-Hertogenbosch, Netherlands, 24.10.18 . https://doi.org/10.1007/978-3-030-01768-2_10
Gaonkar, R, Tavakol, M & Brefeld, U 2018, MDP-based itinerary recommendation using geo-tagged social media . in W Duivesteijn, A Siebes & A Ukkonen (eds), Advances in Intelligent Data Analysis XVII-17th International Symposium, IDA 2018, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. 11191, Springer Nature AG, Basel, pp. 111-123, 17th International Symposium on Intelligent Data Analysis-IDA 2018, ‘s-Hertogenbosch, Netherlands, 24.10.18 . https://doi.org/10.1007/978-3-030-01768-2_10
Planning vacations is a complex decision problem. Many variables like the place(s) to visit, how many days to stay, the duration at each location, and the overall travel budget need to be controlled and arranged by the user. Automatically recommendin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::11f42ef60dfa01e5d4fe57a97aa09971
http://www.scopus.com/inward/record.url?scp=85055718851&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85055718851&partnerID=8YFLogxK