On Updating and Querying Sub-arrays of Multidimensional Arrays. - Pushkar Mishra (CoRR, 2013)

Neural Character-based Composition Models for Abuse Detection. - Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (ALW, 2018)

Author Profiling for Abuse Detection. - Pushkar Mishra; Marco Del Tredici; Helen Yannakoudakis; Ekaterina Shutova (COLING, 2018)

Abusive Language Detection with Graph Convolutional Networks. - Pushkar Mishra; Marco Del Tredici; Helen Yannakoudakis; Ekaterina Shutova (NAACL-HLT (1), 2019)

CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets. - Guy Aglionby; Christopher Davis; Pushkar Mishra; Andrew Caines; Helen Yannakoudakis; Marek Rei; Ekaterina Shutova; Paula Buttery (SemEval@NAACL-HLT, 2019)

Author Profiling for Hate Speech Detection. - Pushkar Mishra; Marco Del Tredici; Helen Yannakoudakis; Ekaterina Shutova (CoRR, 2019)

Tackling Online Abuse: A Survey of Automated Abuse Detection Methods. - Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (CoRR, 2019)

Joint Modelling of Emotion and Abusive Language Detection. - Santhosh Rajamanickam; Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (ACL, 2020)

Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation. - Nithin Holla; Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (EMNLP (Findings), 2020)

Node Masking: Making Graph Neural Networks Generalize and Scale Better. - Pushkar Mishra; Aleksandra Piktus; Gerard Goossen; Fabrizio Silvestri (CoRR, 2020)

Graph-based Modeling of Online Communities for Fake News Detection. - Shantanu Chandra; Pushkar Mishra; Helen Yannakoudakis; Madhav Nimishakavi; Marzieh Saeidi; Ekaterina Shutova (CoRR, 2020)

Meta-Learning with Sparse Experience Replay for Lifelong Language Learning. - Nithin Holla; Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (CoRR, 2020)

Ruddit: Norms of Offensiveness for English Reddit Comments. - Rishav Hada; Sohi Sudhir; Pushkar Mishra; Helen Yannakoudakis; Saif M. Mohammad; Ekaterina Shutova (ACL/IJCNLP (1), 2021)

Multilingual and cross-lingual document classification: A meta-learning approach. - Niels van der Heijden; Helen Yannakoudakis; Pushkar Mishra; Ekaterina Shutova (EACL, 2021)

Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability. - Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (EMNLP (Findings), 2021)

Towards a robust experimental framework and benchmark for lifelong language learning. - Aman Hussain; Nithin Holla; Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (NeurIPS Datasets and Benchmarks, 2021)

The User behind the Abuse: A Position on Ethics and Explainability. - Pushkar Mishra; Helen Yannakoudakis; Ekaterina Shutova (CoRR, 2021)

Method cards for prescriptive machine-learning transparency. - David Adkins; Bilal Alsallakh; Adeel Cheema; Narine Kokhlikyan; Emily McReynolds; Pushkar Mishra; Chavez Procope; Jeremy Sawruk; Erin Wang; Polina Zvyagina (CAIN, 2022)

Prescriptive and Descriptive Approaches to Machine-Learning Transparency. - David Adkins; Bilal Alsallakh; Adeel Cheema; Narine Kokhlikyan; Emily McReynolds; Pushkar Mishra; Chavez Procope; Jeremy Sawruk; Erin Wang; Polina Zvyagina (CHI Extended Abstracts, 2022)

Scientific and Creative Analogies in Pretrained Language Models. - Tamara Czinczoll; Helen Yannakoudakis; Pushkar Mishra; Ekaterina Shutova (EMNLP (Findings), 2022)

ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. - Yihong Chen; Pushkar Mishra; Luca Franceschi 001; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (NeurIPS, 2022)

ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. - Yihong Chen; Pushkar Mishra; Luca Franceschi 001; Pasquale Minervini; Pontus Stenetorp; Sebastian Riedel 001 (CoRR, 2022)

Llama 2: Open Foundation and Fine-Tuned Chat Models. - Hugo Touvron; Louis Martin; Kevin Stone; Peter Albert; Amjad Almahairi; Yasmine Babaei; Nikolay Bashlykov; Soumya Batra; Prajjwal Bhargava; Shruti Bhosale; Dan Bikel; Lukas Blecher; et al. (CoRR, 2023)

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study. - Filippo Betello; Federico Siciliano; Pushkar Mishra; Fabrizio Silvestri (CoRR, 2023)

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations. - Filippo Betello; Federico Siciliano; Pushkar Mishra; Fabrizio Silvestri (ECIR (2), 2024)

Finite Rank-Biased Overlap (FRBO): A New Measure for Stability in Sequential Recommender Systems. - Filippo Betello; Federico Siciliano; Pushkar Mishra; Fabrizio Silvestri (IIR, 2024)

A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection. - Ivo Verhoeven; Pushkar Mishra; Rahel Beloch; Helen Yannakoudakis; Ekaterina Shutova (NAACL-HLT (Findings), 2024)

Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups. - 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; et al. (CoRR, 2024)

Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalisation of Misinformation Detection Models. - Ivo Verhoeven; Pushkar Mishra; Ekaterina Shutova (CoRR, 2024)

Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity. - Pushkar Mishra; Charvi Rastogi; Stephen R. Pfohl; Alicia Parrish; Roma Patel; Mark Diaz; Ding Wang; Michela Paganini; Vinodkumar Prabhakaran; Lora Aroyo; Verena Rieser (CoRR, 2025)

Value Profiles for Encoding Human Variation. - Taylor Sorensen; Pushkar Mishra; Roma Patel; Michael Henry Tessler; Michiel A. Bakker; Georgina Evans; Iason Gabriel; Noah D. Goodman; Verena Rieser (CoRR, 2025)

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models. - 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; et al. (CoRR, 2025)

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives. - 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; et al. (CoRR, 2025)