Pushkar Mishra

45 papers A* 3A 1B 2Journal 26Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity. Trans. Mach. Learn. Res. Pushkar Mishra, Charvi Rastogi, Stephen R. Pfohl, Alicia Parrish, Tian Huey Teh, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
2025	J	`jnl`	"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives. CoRR Ding Wang, Mark Díaz, Charvi Rastogi, Aida Mostafazadeh Davani, Vinodkumar Prabhakaran, Pushkar Mishra, Roma Patel, Alicia Parrish, Zoe Ashwood, Michela Paganini, Tian Huey Teh, Verena Rieser, Lora Aroyo
2025	J	`jnl`	Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity. CoRR Pushkar Mishra, Charvi Rastogi, Stephen R. Pfohl, Alicia Parrish, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
2025	—	`ed.`	Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), ACL 2025, Vienna, Austria, July 27 - August 1, 2025 ACL (3) Pushkar Mishra, Smaranda Muresan, Tao Yu
2025	A*	`conf`	Value Profiles for Encoding Human Variation. EMNLP Taylor Sorensen, Pushkar Mishra, Roma Patel, Michael Henry Tessler, Michiel A. Bakker, Georgina Evans, Iason Gabriel, Noah D. Goodman, Verena Rieser
2025	J	`jnl`	Value Profiles for Encoding Human Variation. CoRR Taylor Sorensen, Pushkar Mishra, Roma Patel, Michael Henry Tessler, Michiel A. Bakker, Georgina Evans, Iason Gabriel, Noah D. Goodman, Verena Rieser
2025	J	`jnl`	Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models. CoRR Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Ding Wang, Mark Díaz, Alicia Parrish, Aida Mostafazadeh Davani, Zoe Ashwood, Michela Paganini, Vinodkumar Prabhakaran, Verena Rieser, Lora Aroyo
2024	—	`conf`	A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection. NAACL-HLT (Findings) Ivo Verhoeven, Pushkar Mishra, Rahel Beloch, Helen Yannakoudakis, Ekaterina Shutova
2024	J	`jnl`	A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection. CoRR Ivo Verhoeven, Pushkar Mishra, Rahel Beloch, Helen Yannakoudakis, Ekaterina Shutova
2024	—	`conf`	Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems. IIR Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri
2024	J	`jnl`	Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups. CoRR Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Zoe Ashwood, Aida Mostafazadeh Davani, Mark Diaz, Michela Paganini, Alicia Parrish, Ding Wang, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
2024	—	`conf`	Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. ECIR (2) Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri
2024	J	`jnl`	Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalisation of Misinformation Detection Models. CoRR Ivo Verhoeven, Pushkar Mishra, Ekaterina Shutova
2023	J	`jnl`	Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. CoRR Filippo Betello, Federico Siciliano, Pushkar Mishra, Fabrizio Silvestri
2023	J	`jnl`	Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom
2022	B	`conf`	Method cards for prescriptive machine-learning transparency. CAIN David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina
2022	—	`conf`	Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CHI Extended Abstracts David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina
2022	J	`jnl`	Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CoRR David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina
2022	A*	`conf`	ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. NeurIPS Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	J	`jnl`	ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. CoRR Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022	—	`conf`	Scientific and Creative Analogies in Pretrained Language Models. EMNLP (Findings) Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova
2022	J	`jnl`	Scientific and Creative Analogies in Pretrained Language Models. CoRR Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova
2021	—	`conf`	Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability. EMNLP (Findings) Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2021	A	`conf`	Multilingual and cross-lingual document classification: A meta-learning approach. EACL Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova
2021	J	`jnl`	Multilingual and cross-lingual document classification: A meta-learning approach. CoRR Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova
2021	—	`conf`	Ruddit: Norms of Offensiveness for English Reddit Comments. ACL/IJCNLP (1) Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif M. Mohammad, Ekaterina Shutova
2021	J	`jnl`	Ruddit: Norms of Offensiveness for English Reddit Comments. CoRR Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif M. Mohammad, Ekaterina Shutova
2021	J	`jnl`	The User behind the Abuse: A Position on Ethics and Explainability. CoRR Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2021	—	`conf`	Towards a robust experimental framework and benchmark for lifelong language learning. NeurIPS Datasets and Benchmarks Aman Hussain, Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2020	J	`jnl`	Graph-based Modeling of Online Communities for Fake News Detection. CoRR Shantanu Chandra, Pushkar Mishra, Helen Yannakoudakis, Madhav Nimishakavi, Marzieh Saeidi, Ekaterina Shutova
2020	A*	`conf`	Joint Modelling of Emotion and Abusive Language Detection. ACL Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2020	J	`jnl`	Joint Modelling of Emotion and Abusive Language Detection. CoRR Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2020	—	`conf`	Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation. EMNLP (Findings) Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2020	J	`jnl`	Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation. CoRR Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2020	J	`jnl`	Meta-Learning with Sparse Experience Replay for Lifelong Language Learning. CoRR Nithin Holla, Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2020	J	`jnl`	Node Masking: Making Graph Neural Networks Generalize and Scale Better. CoRR Pushkar Mishra, Aleksandra Piktus, Gerard Goossen, Fabrizio Silvestri
2019	—	`conf`	Abusive Language Detection with Graph Convolutional Networks. NAACL-HLT (1) Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova
2019	J	`jnl`	Abusive Language Detection with Graph Convolutional Networks. CoRR Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova
2019	J	`jnl`	Author Profiling for Hate Speech Detection. CoRR Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova
2019	—	`conf`	CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets. SemEval@NAACL-HLT Guy Aglionby, Christopher Davis, Pushkar Mishra, Andrew Caines, Helen Yannakoudakis, Marek Rei, Ekaterina Shutova, Paula Buttery
2019	J	`jnl`	Tackling Online Abuse: A Survey of Automated Abuse Detection Methods. CoRR Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2018	B	`conf`	Author Profiling for Abuse Detection. COLING Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis, Ekaterina Shutova
2018	—	`conf`	Neural Character-based Composition Models for Abuse Detection. ALW Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2018	J	`jnl`	Neural Character-based Composition Models for Abuse Detection. CoRR Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
2013	J	`jnl`	On Updating and Querying Sub-arrays of Multidimensional Arrays. CoRR Pushkar Mishra