R. Thomas McCoy
14 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (14)
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Conference Polyglot
(5)
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Topic Evolution
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Keyword Collector
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Prolific Year
(5)
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Century Club
(14)
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Trend Setter
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The Questioner
(3)
Conferences
ACL (5)
EMNLP (5)
NAACL (2)
COLING (1)
ICLR (1)
Top co-authors
Research topics
Keywords
natural language inference
(3)
neural network
(2)
data augmentation
(2)
large language model
(2)
knowledge distillation
(1)
child-directed speech
(1)
transfer learning
(1)
language modeling
(1)
symbolic reasoning
(1)
dependency parsing
(1)
inductive reasoning
(1)
bert model
(1)
in-context learning
(1)
compositional generalization
(1)
constituency parsing
(1)
word order
(1)
distributional semantics
(1)
recursive neural network
(1)
recurrent neural network
(1)
text classification
(1)
Papers
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models
NAACL 2025
Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming
NAACL 2025
Evaluating distillation methods for data-efficient syntax learning
EMNLP 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
Syntactic Data Augmentation Increases Robustness to Inference Heuristics
ACL 2020
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs
ACL 2020
Picking BERTβs Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis
COLING 2020
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
EMNLP 2020
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
ACL 2019
RNNs implicitly implement tensor-product representations
ICLR 2019
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
ACL 2019
TAG Parsing with Neural Networks and Vector Representations of Supertags
EMNLP 2017