Arpit Mittal
14 papers · 2018–2024 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(10)
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(6)
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Prolific Year · Productive
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Century Club · Bronze
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Trend Setter
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Keyword Collector
(53)
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Core AI
(8)
Natural Language Processing
(6)
Applications
(6)
Core Methods
(5)
Deep Learning
(4)
Learning Types · Machine Learning
(3)
Architectures
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Keywords
fact verification
(6)
evidence retrieval
(5)
natural language inference
(4)
information retrieval
(3)
fact extraction
(3)
claim verification
(3)
adversarial attack
(2)
shared task
(2)
textual entailment
(2)
question answering
(2)
neural network
(2)
knowledge base
(1)
policy learning
(1)
multiple instance learning
(1)
attention mechanism
(1)
metric learning
(1)
information extraction
(1)
text classification
(1)
knowledge graph
(1)
relation prediction
(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
Evaluating adversarial attacks against multiple fact verification systems
EMNLP 2019
Generating Token-Level Explanations for Natural Language Inference
NAACL 2019
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning
EMNLP 2019
Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering
NAACL 2019
Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER)
EMNLP 2019
The FEVER2.0 Shared Task
EMNLP 2019
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets
EMNLP 2019
Demand-Weighted Completeness Prediction for a Knowledge Base
NAACL 2018
FEVER: a Large-scale Dataset for Fact Extraction and VERification
NAACL 2018
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER)
EMNLP 2018
The Fact Extraction and VERification (FEVER) Shared Task
EMNLP 2018