R. Thomas McCoy
16 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (36)
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Topic Evolution
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Century Club · Bronze
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The Questioner
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Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Deep Learning
(9)
Core AI
(8)
Natural Language Processing
(7)
Architectures
(5)
Core Methods
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Applications
(4)
Learning Types · Deep Learning
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Application Areas
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Learning Types · Machine Learning
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Optimization & Theory
(3)
Interdisciplinary
(2)
Generation
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Learning Paradigms
(2)
Keywords
natural language inference
(3)
neural network
(3)
child-directed speech
(2)
symbolic structure
(2)
data augmentation
(2)
language acquisition
(2)
compositional structure
(2)
recurrent neural network
(2)
large language model
(2)
vector representation
(2)
dependency parsing
(2)
constituency parsing
(2)
subject-verb agreement
(2)
bert model
(1)
knowledge distillation
(1)
inductive reasoning
(1)
symbolic reasoning
(1)
few-shot learning
(1)
language modeling
(1)
distributional semantics
(1)
Papers
Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks
CoNLL 2026
What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies
CoNLL 2026
Evaluating distillation methods for data-efficient syntax learning
EMNLP 2025
Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming
NAACL 2025
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models
NAACL 2025
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
EMNLP 2024
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech
ACL 2023
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance
EMNLP 2020
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
EMNLP 2020
Picking BERT’s Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis
COLING 2020
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs
ACL 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
ACL 2020
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
ACL 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
ACL 2019
RNNs implicitly implement tensor-product representations
ICLR 2019
TAG Parsing with Neural Networks and Vector Representations of Supertags
EMNLP 2017