Neural User Response Generator: Fake News Detection with Collective User Intelligence. - Feng Qian; ChengYue Gong; Karishma Sharma; Yan Liu 002 (IJCAI, 2018)

Combating Fake News: A Survey on Identification and Mitigation Techniques. - Karishma Sharma; Feng Qian; He Jiang; Natali Ruchansky; Ming Zhang 004; Yan Liu 002 (ACM Trans. Intell. Syst. Technol., 2019)

NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. - Karishma Sharma; Pinar Donmez; Enming Luo; Yan Liu 002; I. Zeki Yalniz (ECCV (27), 2020)

Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. - Karishma Sharma; Sungyong Seo; Chuizheng Meng; Sirisha Rambhatla; Aastha Dua; Yan Liu 002 (CoRR, 2020)

Identifying Coordinated Accounts in Disinformation Campaigns. - Karishma Sharma; Emilio Ferrara; Yan Liu 002 (CoRR, 2020)

Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. - Karishma Sharma; Xinran He; Sungyong Seo; Yan Liu 002 (ICWSM, 2021)

Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours. - Karishma Sharma; Yizhou Zhang; Emilio Ferrara; Yan Liu 002 (KDD, 2021)

VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. - Yizhou Zhang; Karishma Sharma; Yan Liu 002 (NeurIPS, 2021)

COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter. - Karishma Sharma; Yizhou Zhang; Yan Liu 002 (CoRR, 2021)

Diagnosing of zucchini leaf lesions using reconstruction of GAN. - Karishma Sharma; Sanjay Arora (IC3I, 2022)

Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election. - Karishma Sharma; Emilio Ferrara; Yan Liu 002 (ICWSM, 2022)

COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives. - Karishma Sharma; Yizhou Zhang; Yan Liu 002 (ICWSM, 2022)

Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. - Karishma Sharma; Emilio Ferrara; Yan Liu 002 (WWW, 2022)

Capturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns. - Yizhou Zhang; Karishma Sharma; Yan Liu 002 (ECIR (2), 2023)

Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering. - Kexuan Sun 002; Nicolaas Paul Jedema; Karishma Sharma; Ruben Janssen; Jay Pujara; Pedro A. Szekely; Alessandro Moschitti (LREC/COLING, 2024)

Speechworthy Instruction-tuned Language Models. - Hyundong Cho; Nicolaas Paul Jedema; Leonardo F. R. Ribeiro; Karishma Sharma; Pedro A. Szekely; Alessandro Moschitti; Ruben Janssen; Jonathan May (EMNLP, 2024)

11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge. - 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; et al. (ISSCC, 2024)

Toward Mitigating Misinformation and Social Media Manipulation in LLM Era. - Yizhou Zhang; Karishma Sharma; Lun Du; Yan Liu 002 (WWW (Companion Volume), 2024)

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning. - Hyundong Justin Cho; Karishma Sharma; Nicolaas Paul Jedema; Leonardo F. R. Ribeiro; Jonathan May; Alessandro Moschitti (NAACL (Findings), 2025)

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning. - Hyundong Cho; Karishma Sharma; Nicolaas Paul Jedema; Leonardo F. R. Ribeiro; Alessandro Moschitti; Ravi Krishnan; Jonathan May (CoRR, 2025)