Ellie Pavlick

According to our database1, Ellie Pavlick authored at least 105 papers between 2014 and 2024.

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Bibliography

2024
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects.
CoRR, 2024

Semantic Structure-Mapping in LLM and Human Analogical Reasoning.
CoRR, 2024

Talking Heads: Understanding Inter-layer Communication in Transformer Language Models.
CoRR, 2024

Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting.
CoRR, 2024

Lessons from the Trenches on Reproducible Evaluation of Language Models.
CoRR, 2024

Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction.
CoRR, 2024

Bayesian Preference Elicitation with Language Models.
CoRR, 2024

Human Curriculum Effects Emerge with In-Context Learning in Neural Networks.
CoRR, 2024

Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks.
CoRR, 2024

Language Models Implement Simple Word2Vec-style Vector Arithmetic.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Circuit Component Reuse Across Tasks in Transformer Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Re-Evaluating Evaluation for Multilingual Summarization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Does CLIP Bind Concepts? Probing Compositionality in Large Image Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?
Trans. Mach. Learn. Res., 2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Uncovering Intermediate Variables in Transformers using Circuit Probing.
CoRR, 2023

Instilling Inductive Biases with Subnetworks.
CoRR, 2023

Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations.
CoRR, 2023

NeuroSurgeon: A Toolkit for Subnetwork Analysis.
CoRR, 2023

Training Priors Predict Text-To-Image Model Performance.
CoRR, 2023

Testing Causal Models of Word Meaning in GPT-3 and -4.
CoRR, 2023

Comparing Trajectory and Vision Modalities for Verb Representation.
CoRR, 2023

Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs.
CoRR, 2023

Break It Down: Evidence for Structural Compositionality in Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can Neural Networks Learn Implicit Logic from Physical Reasoning?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Linearly Mapping from Image to Text Space.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Emergence of Abstract State Representations in Embodied Sequence Modeling.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Characterizing Mechanisms for Factual Recall in Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Are Language Models Worse than Humans at Following Prompts? It's Complicated.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Analyzing Modular Approaches for Visual Question Decomposition.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Unit Testing for Concepts in Neural Networks.
Trans. Assoc. Comput. Linguistics, 2022

Does CLIP Bind Concepts? Probing Compositionality in Large Image Models.
CoRR, 2022

Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex.
CoRR, 2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.
CoRR, 2022

Do Vision-Language Pretrained Models Learn Primitive Concepts?
CoRR, 2022

Hierarchical planning with state abstractions for temporal task specifications.
Auton. Robots, 2022

Affordance-based robot object retrieval.
Auton. Robots, 2022

Pretraining on Interactions for Learning Grounded Affordance Representations.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Do Prompt-Based Models Really Understand the Meaning of Their Prompts?
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Do Trajectories Encode Verb Meaning?
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

The MultiBERTs: BERT Reproductions for Robustness Analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Mapping Language Models to Grounded Conceptual Spaces.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
A Novel Corpus of Discourse Structure in Humans and Computers.
CoRR, 2021

Spatial Language Understanding for Object Search in Partially Observed City-scale Environments.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Predicting Inductive Biases of Pre-Trained Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Does Vision-and-Language Pretraining Improve Lexical Grounding?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Frequency Effects on Syntactic Rule Learning in Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

"Was it "stated" or was it "claimed"?: How linguistic bias affects generative language models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Can computers tell a story? Discourse Structure in Computer-generated Text and Humans.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

AND does not mean OR: Using Formal Languages to Study Language Models' Representations.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Sochiatrist: Signals of Affect in Messaging Data.
Proc. ACM Hum. Comput. Interact., 2020

Spatial Language Understanding for Object Search in Partially Observed Cityscale Environments.
CoRR, 2020

Measuring and Reducing Gendered Correlations in Pre-trained Models.
CoRR, 2020

Self-play for Data Efficient Language Acquisition.
CoRR, 2020

Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces.
CoRR, 2020

When does data augmentation help generalization in NLP?
CoRR, 2020

A Visuospatial Dataset for Naturalistic Verb Learning.
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications.
Proceedings of the Robotics: Science and Systems XVI, 2020

Robot Object Retrieval with Contextual Natural Language Queries.
Proceedings of the Robotics: Science and Systems XVI, 2020

Grounding Language to Landmarks in Arbitrary Outdoor Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Do "Undocumented Workers" == "Illegal Aliens"? Differentiating Denotation and Connotation in Vector Spaces.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

What Happens To BERT Embeddings During Fine-tuning?
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

Interpretability and Analysis in Neural NLP.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2020

2019
Inherent Disagreements in Human Textual Inferences.
Trans. Assoc. Comput. Linguistics, 2019

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension.
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

Planning with State Abstractions for Non-Markovian Task Specifications.
Proceedings of the Robotics: Science and Systems XV, 2019

What do you learn from context? Probing for sentence structure in contextualized word representations.
Proceedings of the 7th International Conference on Learning Representations, 2019

How well do NLI models capture verb veridicality?
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Emergent Compositionality in Signaling Games.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

BERT Rediscovers the Classical NLP Pipeline.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.
CoRR, 2018

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations.
CoRR, 2018

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Scalar Adjective Intensity from Paraphrases.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Identifying 1950s American Jazz Musicians: Fine-Grained IsA Extraction via Modifier Composition.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Optimizing Statistical Machine Translation for Text Simplification.
Trans. Assoc. Comput. Linguistics, 2016

An Empirical Analysis of Formality in Online Communication.
Trans. Assoc. Comput. Linguistics, 2016

The Gun Violence Database.
CoRR, 2016

So-Called Non-Subsective Adjectives.
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 2016

The Gun Violence Database: A new task and data set for NLP.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Tense Manages to Predict Implicative Behavior in Verbs.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Simple PPDB: A Paraphrase Database for Simplification.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Most "babies" are "little" and most "problems" are "huge": Compositional Entailment in Adjective-Nouns.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Inducing Lexical Style Properties for Paraphrase and Genre Differentiation.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Crowdsourcing for NLP.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Extracting Structured Information via Automatic + Human Computation.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

FrameNet+: Fast Paraphrastic Tripling of FrameNet.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Domain-Specific Paraphrase Extraction.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Adding Semantics to Data-Driven Paraphrasing.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Effectively Crowdsourcing Radiology Report Annotations.
Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, 2015

2014
The Language Demographics of Amazon Mechanical Turk.
Trans. Assoc. Comput. Linguistics, 2014

Poetry of the Crowd: A Human Computation Algorithm to Convert Prose into Rhyming Verse.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Crowdsourcing for grammatical error correction.
Proceedings of the Computer Supported Cooperative Work, 2014

Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014


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