Karishma Sharma

27 papers A* 5A 3Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning. NAACL (Findings) Hyundong Justin Cho, Karishma Sharma, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Jonathan May, Alessandro Moschitti
2025	J	`jnl`	Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning. CoRR Hyundong Cho, Karishma Sharma, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Alessandro Moschitti, Ravi Krishnan, Jonathan May
2024	—	`conf`	11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge. ISSCC 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
2024	—	`conf`	Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering. LREC/COLING Kexuan Sun, Nicolaas Paul Jedema, Karishma Sharma, Ruben Janssen, Jay Pujara, Pedro A. Szekely, Alessandro Moschitti
2024	A*	`conf`	Speechworthy Instruction-tuned Language Models. EMNLP Hyundong Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro A. Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May
2024	J	`jnl`	Speechworthy Instruction-tuned Language Models. CoRR Hyundong Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro A. Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May
2024	—	`conf`	Toward Mitigating Misinformation and Social Media Manipulation in LLM Era. WWW (Companion Volume) Yizhou Zhang, Karishma Sharma, Lun Du, Yan Liu
2023	—	`conf`	Capturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns. ECIR (2) Yizhou Zhang, Karishma Sharma, Yan Liu
2022	A	`conf`	COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives. ICWSM Karishma Sharma, Yizhou Zhang, Yan Liu
2022	A	`conf`	Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election. ICWSM Karishma Sharma, Emilio Ferrara, Yan Liu
2022	A*	`conf`	Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. WWW Karishma Sharma, Emilio Ferrara, Yan Liu
2022	J	`jnl`	Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. CoRR Karishma Sharma, Emilio Ferrara, Yan Liu
2022	—	`conf`	Diagnosing of zucchini leaf lesions using reconstruction of GAN. IC3I Karishma Sharma, Sanjay Arora
2021	J	`jnl`	COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine Hesitancy on Twitter. CoRR Karishma Sharma, Yizhou Zhang, Yan Liu
2021	J	`jnl`	Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election. CoRR Karishma Sharma, Emilio Ferrara, Yan Liu
2021	A*	`conf`	Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours. KDD Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu
2021	A	`conf`	Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. ICWSM Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
2021	A*	`conf`	VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. NeurIPS Yizhou Zhang, Karishma Sharma, Yan Liu
2021	J	`jnl`	VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. CoRR Yizhou Zhang, Karishma Sharma, Yan Liu
2020	J	`jnl`	Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. CoRR Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu
2020	J	`jnl`	Identifying Coordinated Accounts in Disinformation Campaigns. CoRR Karishma Sharma, Emilio Ferrara, Yan Liu
2020	J	`jnl`	Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. CoRR Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu
2020	—	`conf`	NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. ECCV (27) Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
2020	J	`jnl`	NoiseRank: Unsupervised Label Noise Reduction with Dependence Models. CoRR Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
2019	J	`jnl`	Combating Fake News: A Survey on Identification and Mitigation Techniques. CoRR Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu
2019	J	`jnl`	Combating Fake News: A Survey on Identification and Mitigation Techniques. ACM Trans. Intell. Syst. Technol. Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu
2018	A*	`conf`	Neural User Response Generator: Fake News Detection with Collective User Intelligence. IJCAI Feng Qian, Chengyue Gong, Karishma Sharma, Yan Liu