← Authors

Arpit Mittal

16 papers · 2018–2024 · 3 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (33) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (11) ⚑ Prolific Year (9) πŸ’Ž Century Club (16) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (55)

Conferences

EMNLP (10) NAACL (4) IJCNLP (2)

Top co-authors

Christos Christodoulopoulos (11) Andreas Vlachos (10) James Thorne (10) Oana Cocarascu (6) Dave Palfrey (4) Anjishnu Kumar (2) Masha Naslidnyk (2) Rami Aly (2) Esma Balkir (2) Zhijiang Guo (2)

Keywords

fact verification (7) evidence retrieval (5) natural language inference (4) claim verification (3) information retrieval (3) adversarial attack (3) fact extraction (3) bilinear model (2) question answering (2) neural network (2) negative sampling (2) shared task (2) system resilience (2) textual entailment (2) link prediction (2) knowledge graph completion (2) knowledge base (1) policy learning (1) attention mechanism (1) text classification (1)

Papers

The Automated Verification of Textual Claims (AVeriTeC) Shared Task EMNLP 2024
The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task EMNLP 2021
Debiasing knowledge graph embeddings EMNLP 2020
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning EMNLP 2019
Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER) EMNLP 2019
The FEVER2.0 Shared Task EMNLP 2019
Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering NAACL 2019
Evaluating adversarial attacks against multiple fact verification systems EMNLP 2019
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets EMNLP 2019
Evaluating adversarial attacks against multiple fact verification systems IJCNLP 2019
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets IJCNLP 2019
Generating Token-Level Explanations for Natural Language Inference NAACL 2019
FEVER: a Large-scale Dataset for Fact Extraction and VERification NAACL 2018
The Fact Extraction and VERification (FEVER) Shared Task EMNLP 2018
Demand-Weighted Completeness Prediction for a Knowledge Base NAACL 2018
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER) EMNLP 2018