| 2020 | EMNLP | Debiasing knowledge graph embeddings. | Joseph Fisher, Arpit Mittal, Dave Palfrey, Christos Christodoulopoulos |
| 2019 | EMNLP | Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets. | Esma Balkir, Masha Naslidnyk, Dave Palfrey, Arpit Mittal |
| 2019 | EMNLP | Evaluating adversarial attacks against multiple fact verification systems. | James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal |
| 2019 | NAACL | Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering. | Frderic Godin, Anjishnu Kumar, Arpit Mittal |
| 2019 | NAACL | Generating Token-Level Explanations for Natural Language Inference. | James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal |
| 2018 | EMNLP | The Fact Extraction and VERification (FEVER) Shared Task. | James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal |
| 2018 | LREC | Simple Large-scale Relation Extraction from Unstructured Text. | Christos Christodoulopoulos, Arpit Mittal |
| 2018 | NAACL | Demand-Weighted Completeness Prediction for a Knowledge Base. | Andrew Hopkinson, Amit Gurdasani, Dave Palfrey, Arpit Mittal |
| 2018 | NAACL | FEVER: a Large-scale Dataset for Fact Extraction and VERification. | James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal |
| 2017 | ECIR | Labeling Topics with Images Using a Neural Network. | Nikolaos Aletras, Arpit Mittal |
| 2013 | ICRA | Design of a bimodal self-burying robot. | Carl Darukhanavala, Andrew Lycas, Arpit Mittal, Ashwinram Suresh |
| 2012 | ECCV | Taxonomic Multi-class Prediction and Person Layout Using Efficient Structured Ranking. | Arpit Mittal, Matthew B. Blaschko, Andrew Zisserman, Philip H. S. Torr |
| 2011 | BMVC | Hand detection using multiple proposals. | Arpit Mittal, Andrew Zisserman, Philip H. S. Torr |