Karishma Sharma

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Presidential Election

Unlabeled Instances

Labeling Process

Top Venues

Publications

Kexuan Sun, Nicolaas Paul Jedema, Karishma Sharma, Ruben Janssen, Jay Pujara, Pedro A. Szekely, Alessandro Moschitti
Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering. LREC/COLING (2024)
Pascal Alexander Hager, Bert Moons, Stefan Cosemans, Ioannis A. Papistas, Bram Rooseleer, Jeroen Van Loon, Roel Uytterhoeven, Florian Zaruba, Spyridoula Koumousi, Milos Stanisavljevic, Stefan Mach, Sebastiaan Mutsaards, Riduan Khaddam Aljameh, Gua Hao Khov, Brecht Machiels, Cristian Olar, Anastasios Psarras, Sander Geursen, Jeroen Vermeeren, Yi Lu, Abhishek Maringanti, Deepak Ameta, Leonidas Katselas, Noah Hütter, Manuel Schmuck, Swetha Sivadas, Karishma Sharma, Manuel Oliveira, Ramon Aerne, Nitish Sharma, Timir Soni, Beatrice Bussolino, Djordje Pesut, Michele Pallaro, Andrei Podlesnii, Alexios Lyrakis, Yannick Ruffiner, Martino Dazzi, Johannes Thiele, Koen Goetschalckx, Nazareno Bruschi, Jonas Doevenspeck, Bram Verhoef, Stefan Linz, Giuseppe Garcea, Jonathan Ferguson, Ioannis Koltsidas, Evangelos Eleftheriou
11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge. ISSCC (2024)
Yizhou Zhang, Karishma Sharma, Lun Du, Yan Liu
Toward Mitigating Misinformation and Social Media Manipulation in LLM Era. WWW (Companion Volume) (2024)
Yizhou Zhang, Karishma Sharma, Yan Liu
Capturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns. ECIR (2) (2023)
Karishma Sharma, Yizhou Zhang, Yan Liu
COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives. ICWSM (2022)
Karishma Sharma, Emilio Ferrara, Yan Liu
Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election. ICWSM (2022)
Karishma Sharma, Sanjay Arora
Diagnosing of zucchini leaf lesions using reconstruction of GAN. IC3I (2022)
Karishma Sharma, Emilio Ferrara, Yan Liu
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. WWW (2022)
Karishma Sharma, Emilio Ferrara, Yan Liu
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. CoRR (2022)
Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu
Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours. KDD (2021)
Yizhou Zhang, Karishma Sharma, Yan Liu
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. CoRR (2021)
Karishma Sharma, Yizhou Zhang, Yan Liu
COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter. CoRR (2021)
Yizhou Zhang, Karishma Sharma, Yan Liu
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. NeurIPS (2021)
Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. ICWSM (2021)
Karishma Sharma, Emilio Ferrara, Yan Liu
Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election. CoRR (2021)
Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. ECCV (27) (2020)
Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu
Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. CoRR (2020)
Karishma Sharma, Emilio Ferrara, Yan Liu
Identifying Coordinated Accounts in Disinformation Campaigns. CoRR (2020)
Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. CoRR (2020)
Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. CoRR (2020)
Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu
Combating Fake News: A Survey on Identification and Mitigation Techniques. CoRR (2019)
Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu
Combating Fake News: A Survey on Identification and Mitigation Techniques. ACM Trans. Intell. Syst. Technol. 10 (3) (2019)
Feng Qian, ChengYue Gong, Karishma Sharma, Yan Liu
Neural User Response Generator: Fake News Detection with Collective User Intelligence. IJCAI (2018)