Michael Witbrock
26 papers · 2004–2025 · 12 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (63) π Academic Marathon Β· Ultra π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(3)
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Trend Setter
ποΈ
Keyword Collector
(129)
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Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
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The Questioner
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(16)
Natural Language Processing
(14)
Artificial Intelligence
(13)
Core AI
(13)
Deep Learning
(10)
Applications
(9)
Architectures
(7)
Learning Types Β· Machine Learning
(7)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Resources & Methods
(4)
Understanding
(4)
Knowledge & Reasoning
(3)
Application Areas
(3)
Generation
(3)
Keywords
knowledge graph
(4)
science question
(3)
question answering
(3)
attention mechanism
(3)
natural language inference
(3)
graph neural network
(3)
large language model
(2)
knowledge classification
(2)
textual entailment
(2)
recurrent neural network
(2)
representation learning
(2)
logical reasoning
(2)
multi-hop question answering
(2)
neural representation
(2)
semantic parsing
(2)
self-attention mechanism
(2)
abstract meaning representation
(2)
contrastive learning
(2)
transformer architecture
(2)
benchmark evaluation
(1)
Papers
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
AAAI 2025
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
ACL 2024
Can Large Language Models Learn Independent Causal Mechanisms?
EMNLP 2024
Large Language Models Are Not Strong Abstract Reasoners
IJCAI 2024
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables
AAAI 2024
Robust Node Classification on Graph Data with Graph and Label Noise
AAAI 2024
Disentanglement of Latent Representations via Causal Interventions
IJCAI 2023
Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking
EACL 2023
AbductionRules: Training Transformers to Explain Unexpected Inputs
ACL 2022
DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions
AAAI 2022
Explicit Graph Reasoning Fusing Knowledge and Contextual Information for Multi-hop Question Answering
NAACL 2022
Eye Gaze and Self-attention: How Humans and Transformers Attend Words in Sentences
ACL 2022
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering
IJCAI 2022
Prompt-based Conservation Learning for Multi-hop Question Answering
COLING 2022
TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs
AACL 2022
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech
Interspeech 2021
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
AAAI 2021
A Sequential Set Generation Method for Predicting Set-Valued Outputs
AAAI 2019
Graph Enhanced Cross-Domain Text-to-SQL Generation
EMNLP 2019
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
AAAI 2019
An Interface for Annotating Science Questions
EMNLP 2018
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
ACL 2018
Image Super-Resolution via Dual-State Recurrent Networks
CVPR 2018
Random Warping Series: A Random Features Method for Time-Series Embedding
AISTATS 2018
Dilated Recurrent Neural Networks
NeurIPS 2017
Inferring parts of speech for lexical mappings via the Cyc KB
COLING 2004