← Authors

Ellie Pavlick

74 papers · 2014–2025 · 10 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (11) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (9) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (4) 🌍 Conference Polyglot (10) 🤝 Dynamic Duo (15) 🔬 Deep Specialist (14) 🧬 Topic Evolution 🏆 Keyword Champion (2) ❓ The Questioner (24) 📈 Trend Setter 🗃️ Keyword Collector (229) 🔥 Unstoppable (12) 💎 Century Club (74) ⚡ Prolific Year (6)

Conferences

EMNLP (19) ACL (17) ICLR (9) IJCNLP (9) NAACL (9) NIPS (4) RSS (3) CONLL (2) COLING (1) EACL (1)

Top co-authors

Chris Callison-Burch (15) Benjamin Van Durme (11) Carsten Eickhoff (9) Jack Merullo (8) Chen Sun (6) Ian Tenney (6) Roma Patel (6) Tian Yun (5) Tal Linzen (4) Pushpendre Rastogi (4)

Research topics

Robotics (1)

Keywords

language model (7) semantic representation (6) natural language inference (6) representation learning (6) large language model (6) zero-shot learning (4) transfer learning (4) transformer architecture (3) neural network (3) abstract reasoning (3) mechanistic interpretability (2) distributional semantics (2) attention head (2) natural language understanding (2) explanation generation (2) neural network interpretability (2) prompt engineering (2) lexical semantics (2) dependency parsing (2) in-context learning (2)

Papers

A Knapsack by Any Other Name: Presentation impacts LLM performance on NP-hard problems EMNLP 2025
Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline EMNLP 2025
What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models CONLL 2025
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting ICLR 2025
The Same but Different: Structural Similarities and Differences in Multilingual Language Modeling ICLR 2025
What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models ACL 2025
Does Training on Synthetic Data Make Models Less Robust? NAACL 2025
Re-Evaluating Evaluation for Multilingual Summarization EMNLP 2024
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects NIPS 2024
Language Models Implement Simple Word2Vec-style Vector Arithmetic NAACL 2024
Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models NIPS 2024
mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models? NAACL 2024
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models EACL 2024
Circuit Component Reuse Across Tasks in Transformer Language Models ICLR 2024
Can Neural Networks Learn Implicit Logic from Physical Reasoning? ICLR 2023
Emergence of Abstract State Representations in Embodied Sequence Modeling EMNLP 2023
Characterizing Mechanisms for Factual Recall in Language Models EMNLP 2023
Analyzing Modular Approaches for Visual Question Decomposition EMNLP 2023
Are Language Models Worse than Humans at Following Prompts? It’s Complicated EMNLP 2023
Linearly Mapping from Image to Text Space ICLR 2023
Break It Down: Evidence for Structural Compositionality in Neural Networks NIPS 2023
Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex NIPS 2022
Mapping Language Models to Grounded Conceptual Spaces ICLR 2022
The MultiBERTs: BERT Reproductions for Robustness Analysis ICLR 2022
Do Prompt-Based Models Really Understand the Meaning of Their Prompts? NAACL 2022
Do Trajectories Encode Verb Meaning? NAACL 2022
Pretraining on Interactions for Learning Grounded Affordance Representations NAACL 2022
AND does not mean OR: Using Formal Languages to Study Language Models’ Representations ACL 2021
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering ACL 2021
Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions ACL 2021
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color CONLL 2021
Frequency Effects on Syntactic Rule Learning in Transformers EMNLP 2021
“Was it “stated” or was it “claimed”?: How linguistic bias affects generative language models EMNLP 2021
Does Vision-and-Language Pretraining Improve Lexical Grounding? EMNLP 2021
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color EMNLP 2021
Predicting Inductive Biases of Pre-Trained Models ICLR 2021
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering IJCNLP 2021
AND does not mean OR: Using Formal Languages to Study Language Models’ Representations IJCNLP 2021
Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions IJCNLP 2021
Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications RSS 2020
What Happens To BERT Embeddings During Fine-tuning? EMNLP 2020
A Visuospatial Dataset for Naturalistic Verb Learning COLING 2020
Are “Undocumented Workers” the Same as “Illegal Aliens”? Disentangling Denotation and Connotation in Vector Spaces EMNLP 2020
Interpretability and Analysis in Neural NLP ACL 2020
Robot Object Retrieval with Contextual Natural Language Queries RSS 2020
Using Grounded Word Representations to Study Theories of Lexical Concepts NAACL 2019
Planning with State Abstractions for Non-Markovian Task Specifications RSS 2019
BERT Rediscovers the Classical NLP Pipeline ACL 2019
How well do NLI models capture verb veridicality? IJCNLP 2019
How well do NLI models capture verb veridicality? EMNLP 2019
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
What do you learn from context? Probing for sentence structure in contextualized word representations ICLR 2019
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse EMNLP 2018
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation EMNLP 2018
Learning Scalar Adjective Intensity from Paraphrases EMNLP 2018
Identifying 1950s American Jazz Musicians: Fine-Grained IsA Extraction via Modifier Composition ACL 2017
The Gun Violence Database: A new task and data set for NLP EMNLP 2016
Simple PPDB: A Paraphrase Database for Simplification ACL 2016
Most “babies” are “little” and most “problems” are “huge”: Compositional Entailment in Adjective-Nouns ACL 2016
Tense Manages to Predict Implicative Behavior in Verbs EMNLP 2016
Crowdsourcing for NLP NAACL 2015
Proceedings of the ACL-IJCNLP 2015 Student Research Workshop ACL 2015
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification ACL 2015
FrameNet+: Fast Paraphrastic Tripling of FrameNet ACL 2015
Domain-Specific Paraphrase Extraction ACL 2015
Adding Semantics to Data-Driven Paraphrasing ACL 2015
FrameNet+: Fast Paraphrastic Tripling of FrameNet IJCNLP 2015
Proceedings of the ACL-IJCNLP 2015 Student Research Workshop IJCNLP 2015
Domain-Specific Paraphrase Extraction IJCNLP 2015
Adding Semantics to Data-Driven Paraphrasing IJCNLP 2015
Inducing Lexical Style Properties for Paraphrase and Genre Differentiation NAACL 2015
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification IJCNLP 2015
Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors ACL 2014