Arpit Mittal

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

Achievements

+8 more ↓

🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (3) 🏃 Academic Marathon (6) 🗺️ Taxonomy Completionist (33)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) 🏃 Academic Marathon (6) 🤝 Dynamic Duo (11) ⚡ Prolific Year (9) 💎 Century Club (16) 📈 Trend Setter 🗃️ 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