---
title: "Ellie Pavlick — all works — Elamur Research"
description: "All 129 works of Ellie Pavlick in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/ellie-pavlick/works/"
---
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# Ellie Pavlick — all works

129 works · page 1 of 2 · 1–100 · [← Ellie Pavlick](https://md.research.elamur.ai/free/en/authors/ellie-pavlick/)

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1. **[BERT Rediscovers the Classical NLP Pipeline](https://md.research.elamur.ai/free/en/papers/tenney-2019-bert-rediscovers-classical-nlp-pipeline/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ian Tenney, Dipanjan Das, Ellie Pavlick*2019 · 2,028 citations*
2. [**Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference**R. Thomas McCoy, Ellie Pavlick, Tal Linzen*English · 1,662 citations*](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/)
3. [**Optimizing Statistical Machine Translation for Text Simplification**Wei Xu, Courtney Napoles, Ellie Pavlick, et al.*Machine translation · 954 citations*](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/)
4. [**What do you learn from context? Probing for sentence structure in contextualized word representations arXiv:1905.06316**Ian Tenney, Patrick Xia, Berlin Chen, et al.*2019 · 602 citations*](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/)
5. [**Inherent Disagreements in Human Textual Inferences**Ellie Pavlick, Tom Kwiatkowski*English · 454 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2019-inherent-disagreements-human-textual-inferences/)
6. [**PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification**Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, et al.*Machine translation · 415 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2015-ppdb-2-0-better-paraphrase/)
7. **[Do Prompt-Based Models Really Understand the Meaning of Their Prompts?](https://md.research.elamur.ai/free/en/papers/webson-2022-do-prompt-based-models-really/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Albert Webson, Ellie Pavlick*2022 · 407 citations*
8. [**Measuring and Reducing Gendered Correlations in Pre-trained Models arXiv:2010.06032**Kellie Webster, Xuezhi Wang, Ian Tenney, et al.*2020 · 254 citations*](https://md.research.elamur.ai/free/en/papers/webster-2020-measuring-reducing-gendered-correlations-pre/)
9. **[What Happens To BERT Embeddings During Fine-tuning?](https://md.research.elamur.ai/free/en/papers/merchant-2020-what-happens-bert-embeddings-during/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.*2020 · 220 citations*
10. [**An Empirical Analysis of Formality in Online Communication**Ellie Pavlick, Joel Tetreault*Machine translation · 215 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2016-empirical-analysis-formality-online-communication/)
11. **[Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation](https://md.research.elamur.ai/free/en/papers/poliak-2018-collecting-diverse-natural-language-inference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al.*2018 · 193 citations*
12. **[Probing What Different NLP Tasks Teach Machines about Function Word Comprehension](https://md.research.elamur.ai/free/en/papers/kim-2019-probing-what-different-nlp-tasks/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Najoung Kim, Roma Patel, Adam Poliak, et al.*2019 · 163 citations*
13. **[Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling ↗](https://aclanthology.org/P19-1439/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Alex Wang et al.*2019 · 154 citations*
14. **[Simple PPDB: A Paraphrase Database for Simplification ↗](https://aclanthology.org/P16-2024/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Ellie Pavlick, Chris Callison-Burch*2016 · 129 citations*
15. **[The Language Demographics of Amazon Mechanical Turk ↗](https://aclanthology.org/Q14-1007/) Transactions of the Association for Computational Linguistics · no summary yet**Ellie Pavlick et al.*2014 · 128 citations*
16. **[Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color](https://md.research.elamur.ai/free/en/papers/abdou-2021-can-language-models-encode-perceptual/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, et al.*2021 · 122 citations*
17. **[Symbols and grounding in large language models ↗](https://doi.org/10.1098/rsta.2022.0041) Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · no summary yet**Ellie Pavlick*2022 · 114 citations*
18. **[Lessons from the Trenches on Reproducible Evaluation of Language Models ↗](https://arxiv.org/abs/2405.14782) arXiv:2405.14782 · no summary yet**Stella Biderman et al.*2024 · 99 citations*
19. **[Frequency Effects on Syntactic Rule Learning in Transformers](https://md.research.elamur.ai/free/en/papers/wei-2021-frequency-effects-syntactic-rule-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jason Wei, Dan Garrette, Tal Linzen, et al.*2021 · 92 citations*
20. **[Adding Semantics to Data-Driven Paraphrasing ↗](https://aclanthology.org/P15-1146/) Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Ellie Pavlick et al.*2015 · 81 citations*
21. **[WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse ↗](https://aclanthology.org/D18-1028/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Manaal Faruqui et al.*2018 · 77 citations*
22. **[FrameNet+: Fast Paraphrastic Tripling of FrameNet](https://md.research.elamur.ai/free/en/papers/pavlick-2015-framenet-fast-paraphrastic-tripling-framenet/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, et al.*2015 · 75 citations*
23. **[Interpretability and Analysis in Neural NLP ↗](https://aclanthology.org/2020.acl-tutorials.1/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts · no summary yet**Yonatan Belinkov, Sebastian Gehrmann, Ellie Pavlick*2020 · 73 citations*
24. **[Linearly Mapping from Image to Text Space ↗](https://arxiv.org/abs/2209.15162) arXiv (Cornell University) · no summary yet**Jack Merullo et al.*2022 · 65 citations*
25. **[Most “babies” are “little” and most “problems” are “huge”: Compositional Entailment in Adjective-Nouns ↗](https://aclanthology.org/P16-1204/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ellie Pavlick, Chris Callison-Burch*2016 · 64 citations*
26. **[Inducing Lexical Style Properties for Paraphrase and Genre Differentiation ↗](https://aclanthology.org/N15-1023/) Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Ellie Pavlick, Ani Nenkova*2015 · 64 citations*
27. [**Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering**Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, et al.*English · 63 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-which-linguist-invented-lightbulb-presupposition/)
28. [**How well do NLI models capture verb veridicality?**Alexis Ross, Ellie Pavlick*English · 61 citations*](https://md.research.elamur.ai/free/en/papers/ross-2019-how-well-do-nli-models/)
29. **[Characterizing Mechanisms for Factual Recall in Language Models ↗](https://aclanthology.org/2023.emnlp-main.615/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Qinan Yu, Jack Merullo, Ellie Pavlick*2023 · 59 citations*
30. **[The MultiBERTs: BERT Reproductions for Robustness Analysis ↗](https://arxiv.org/abs/2106.16163) arXiv:2106.16163 · no summary yet**Thibault Sellam et al.*2021 · 57 citations*
31. **[Language Models Implement Simple Word2Vec-style Vector Arithmetic ↗](https://aclanthology.org/2024.naacl-long.281/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Jack Merullo, Carsten Eickhoff, Ellie Pavlick*2024 · 53 citations*
32. **[Circuit Component Reuse Across Tasks in Transformer Language Models ↗](https://arxiv.org/abs/2310.08744) arXiv (Cornell University) · no summary yet**Jack Merullo, Carsten Eickhoff, Ellie Pavlick*2023 · 48 citations*
33. **[The Gun Violence Database: A new task and data set for NLP ↗](https://aclanthology.org/D16-1106/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ellie Pavlick et al.*2016 · 47 citations*
34. **[Robot Object Retrieval with Contextual Natural Language Queries ↗](https://doi.org/10.15607/rss.2020.xvi.080) no summary yet**Thao Ngoc Nguyen et al.*2020 · 45 citations*
35. **[Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015) ↗](https://openalex.org/W2511623037) The Association for Computational Linguistics · no summary yet**Ellie Pavlick et al.*2015 · 42 citations*
36. **[Does Vision-and-Language Pretraining Improve Lexical Grounding? ↗](https://aclanthology.org/2021.findings-emnlp.370/) Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yet**Tian Yun, Chen Sun, Ellie Pavlick*2021 · 40 citations*
37. **[Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. ↗](https://openalex.org/W2907630459) no summary yet**Samuel R. Bowman et al.*2018 · 34 citations*
38. **[Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs ↗](https://arxiv.org/abs/2303.08114) arXiv:2303.08114 · no summary yet**Kelvin Guu et al.*2023 · 33 citations*
39. **[Does CLIP Bind Concepts? Probing Compositionality in Large Image Models ↗](https://aclanthology.org/2024.findings-eacl.101/) Findings of the Association for Computational Linguistics: EACL 2024 · no summary yet**Martha Lewis et al.*2024 · 28 citations*
40. **[Break It Down: Evidence for Structural Compositionality in Neural Networks ↗](https://doi.org/10.52202/075280-1848) neural information processing systems · no summary yet**Michael A. Lepori, Thomas Serre, Ellie Pavlick*2023 · 26 citations*
41. **[AND does not mean OR: Using Formal Languages to Study Language Models' Representations ↗](https://aclanthology.org/2021.acl-short.21/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yet**Aaron Traylor, Roman Feiman, Ellie Pavlick*2021 · 25 citations*
42. **[Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications ↗](https://doi.org/10.15607/rss.2020.xvi.016) no summary yet**Roma Patel, Ellie Pavlick, Stefanie Tellex*2020 · 24 citations*
43. **[Are “Undocumented Workers” the Same as “Illegal Aliens”? Disentangling Denotation and Connotation in Vector Spaces ↗](https://aclanthology.org/2020.emnlp-main.335/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Albert Webson et al.*2020 · 23 citations*
44. **[Unit Testing for Concepts in Neural Networks ↗](https://aclanthology.org/2022.tacl-1.69/) Transactions of the Association for Computational Linguistics · no summary yet**Charles Lovering, Ellie Pavlick*2022 · 22 citations*
45. **[Are Language Models Worse than Humans at Following Prompts? It's Complicated ↗](https://aclanthology.org/2023.findings-emnlp.514/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Albert Webson et al.*2023 · 21 citations*
46. **[Does Data Augmentation Improve Generalization in NLP? ↗](https://arxiv.org/abs/2004.15012) arXiv (Cornell University) · no summary yet**Rohan Jha, Charles Lovering, Ellie Pavlick*2020 · 21 citations*
47. [**Learning Scalar Adjective Intensity from Paraphrases**Anne Cocos, Skyler Wharton, Ellie Pavlick, et al.*English · 21 citations*](https://md.research.elamur.ai/free/en/papers/cocos-2018-learning-scalar-adjective-intensity-paraphrases/)
48. **[Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors ↗](https://aclanthology.org/P14-1107/) Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Rui Yan et al.*2014 · 21 citations*
49. **[Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning ↗](https://doi.org/10.1073/pnas.2510270122) Proceedings of the National Academy of Sciences · no summary yet**Jacob Russin, Ellie Pavlick, Michael J. Frank*2025 · 20 citations*
50. **[“Was it “stated” or was it “claimed”?: How linguistic bias affects generative language models ↗](https://aclanthology.org/2021.emnlp-main.790/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Roma Patel, Ellie Pavlick*2021 · 20 citations*
51. **[Grounding Language to Landmarks in Arbitrary Outdoor Environments ↗](https://doi.org/10.1109/icra40945.2020.9197068) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Matthew Berg et al.*2020 · 20 citations*
52. **[Planning with State Abstractions for Non-Markovian Task Specifications ↗](https://doi.org/10.15607/rss.2019.xv.059) arXiv:1905.12096 · no summary yet**Yoonseon Oh et al.*2019 · 19 citations*
53. **[So-Called Non-Subsective Adjectives ↗](https://aclanthology.org/S16-2014/) Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics · no summary yet**Ellie Pavlick, Chris Callison-Burch*2016 · 19 citations*
54. **[LLMs as models for analogical reasoning ↗](https://doi.org/10.1016/j.jml.2025.104676) Journal of Memory and Language · no summary yet**Sam Musker et al.*2025 · 18 citations*
55. **[Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions ↗](https://aclanthology.org/2021.findings-acl.181/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Nam Do, Ellie Pavlick*2021 · 16 citations*
56. **[Tense Manages to Predict Implicative Behavior in Verbs ↗](https://aclanthology.org/D16-1240/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ellie Pavlick, Chris Callison-Burch*2016 · 16 citations*
57. **[Domain-Specific Paraphrase Extraction ↗](https://aclanthology.org/P15-2010/) Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yet**Ellie Pavlick et al.*2015 · 16 citations*
58. **[Effectively Crowdsourcing Radiology Report Annotations ↗](https://aclanthology.org/W15-2614/) Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis · no summary yet**Anne Cocos et al.*2015 · 15 citations*
59. **[The promise and pitfalls of generative AI ↗](https://doi.org/10.1038/s44159-024-00402-0) Nature Reviews Psychology · no summary yet**Monojit Choudhury et al.*2025 · 14 citations*
60. **[The Same But Different: Structural Similarities and Differences in Multilingual Language Modeling ↗](https://arxiv.org/abs/2410.09223) arXiv (Cornell University) · no summary yet**Ruochen Zhang et al.*2024 · 14 citations*
61. **[Spatial Language Understanding for Object Search in Partially Observed City-scale Environments ↗](https://doi.org/10.1109/ro-man50785.2021.9515426) arXiv:2012.02705 · no summary yet**Kaiyu Zheng et al.*2021 · 13 citations*
62. **[Re-Evaluating Evaluation for Multilingual Summarization ↗](https://aclanthology.org/2024.emnlp-main.1085/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jessica Zosa Forde et al.*2024 · 12 citations*
63. **[mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models? ↗](https://aclanthology.org/2024.findings-naacl.103/) Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yet**Tianze Hua, Tian Yun, Ellie Pavlick*2024 · 12 citations*
64. **[Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex ↗](https://doi.org/10.52202/068431-1885) neural information processing systems · no summary yet**Charles Lovering et al.*2022 · 10 citations*
65. **[SNAP judgments into the digital age: Reporting on food stamps varies significantly with time, publication type, and political leaning ↗](https://doi.org/10.1371/journal.pone.0229180) PLoS ONE · no summary yet**Benjamin W. Chrisinger et al.*2020 · 10 citations*
66. **[Crowdsourcing for NLP ↗](https://aclanthology.org/N15-4002/) Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts · no summary yet**Chris Callison-Burch, Lyle Ungar, Ellie Pavlick*2015 · 10 citations*
67. **[Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline](https://md.research.elamur.ai/free/en/papers/lu-2025-paths-not-taken-understanding-mending/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Meng Lu, Ruochen Zhang, Carsten Eickhoff, et al.*2025 · 9 citations*
68. **[Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models ↗](https://doi.org/10.52202/079017-1962) neural information processing systems · no summary yet**Jack Merullo, Carsten Eickhoff, Ellie Pavlick*2024 · 9 citations*
69. **[Bayesian Preference Elicitation with Language Models ↗](https://arxiv.org/abs/2403.05534) arXiv:2403.05534 · no summary yet**Kunal Handa et al.*2024 · 8 citations*
70. **[Affordance-based robot object retrieval ↗](https://doi.org/10.1007/s10514-021-10008-7) Autonomous Robots · no summary yet**Thao Ngoc Nguyen et al.*2021 · 8 citations*
71. **[Crowdsourcing for grammatical error correction ↗](https://doi.org/10.1145/2556420.2556479) no summary yet**Ellie Pavlick, Rui Yan, Chris Callison-Burch*2014 · 8 citations*
72. **[$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources ↗](https://arxiv.org/abs/2410.23261) arXiv:2410.23261 · no summary yet**Apoorv Khandelwal et al.*2024 · 7 citations*
73. **[Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? ↗](https://arxiv.org/abs/2203.17271) arXiv (Cornell University) · no summary yet**Tian Yun et al.*2022 · 7 citations*
74. **[When does data augmentation help generalization in NLP ↗](https://openalex.org/W3021992287) no summary yet**Rohan Jha, Charles Lovering, Ellie Pavlick*2020 · 7 citations*
75. **[How Do Vision-Language Models Process Conflicting Information Across Modalities? ↗](https://arxiv.org/abs/2507.01790) arXiv (Cornell University) · no summary yet**Tianze Hua, Yun, Tian, Ellie Pavlick*2025 · 6 citations*
76. **[From prediction to understanding: Will AI foundation models transform brain science? ↗](https://doi.org/10.1016/j.neuron.2025.09.039) Neuron · no summary yet**Thomas Serre, Ellie Pavlick*2025 · 6 citations*
77. **[NeuroSurgeon: A Toolkit for Subnetwork Analysis ↗](https://arxiv.org/abs/2309.00244) arXiv (Cornell University) · no summary yet**Michael A. Lepori, Ellie Pavlick, Serre, Thomas*2023 · 6 citations*
78. **[Identifying 1950s American Jazz Musicians: Fine-Grained IsA Extraction via Modifier Composition ↗](https://aclanthology.org/P17-1192/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ellie Pavlick, Marius Paşca*2017 · 6 citations*
79. **[Evaluation of an Artificial Intelligence Conversational Chatbot to Enhance HIV Preexposure Prophylaxis Uptake: Development and Usability Internal Testing ↗](https://doi.org/10.2196/79671) Journal of Medical Internet Research · no summary yet**Jun Tao et al.*2025 · 5 citations*
80. **[Uncovering Intermediate Variables in Transformers using Circuit Probing ↗](https://arxiv.org/abs/2311.04354) arXiv (Cornell University) · no summary yet**Michael A. Lepori, Serre, Thomas, Ellie Pavlick*2023 · 5 citations*
81. **[Emergence of Abstract State Representations in Embodied Sequence Modeling ↗](https://aclanthology.org/2023.emnlp-main.749/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tian Yun et al.*2023 · 5 citations*
82. **[Do Trajectories Encode Verb Meaning? ↗](https://aclanthology.org/2022.naacl-main.206/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Dylan Ebert, Chen Sun, Ellie Pavlick*2022 · 5 citations*
83. **[Pretraining on Interactions for Learning Grounded Affordance Representations ↗](https://aclanthology.org/2022.starsem-1.23/) Proceedings of the 11th Joint Conference on Lexical and Computational Semantics · no summary yet**Jack Merullo et al.*2022 · 5 citations*
84. **[A Knapsack by Any Other Name: Presentation impacts LLM performance on NP-hard problems ↗](https://aclanthology.org/2025.findings-emnlp.352/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Alex Duchnowski, Ellie Pavlick, Alexander Koller*2025 · 4 citations*
85. **[How Do Language Models Compose Functions? ↗](https://arxiv.org/abs/2510.01685) arXiv (Cornell University) · no summary yet**Apoorv Khandelwal, Ellie Pavlick*2025 · 4 citations*
86. **[Does Training on Synthetic Data Make Models Less Robust? ↗](https://aclanthology.org/2025.insights-1.8/) The Sixth Workshop on Insights from Negative Results in NLP · no summary yet**Lingze Zhang, Ellie Pavlick*2025 · 4 citations*
87. **[Is human compositionality meta-learned? ↗](https://doi.org/10.1017/s0140525x24000189) Behavioral and Brain Sciences · no summary yet**Jacob Russin et al.*2024 · 4 citations*
88. **[Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting ↗](https://arxiv.org/abs/2406.00053) arXiv (Cornell University) · no summary yet**Anand, Suraj et al.*2024 · 4 citations*
89. **[Analyzing Modular Approaches for Visual Question Decomposition ↗](https://aclanthology.org/2023.emnlp-main.157/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Apoorv Khandelwal, Ellie Pavlick, Chen Sun*2023 · 4 citations*
90. **[Training Priors Predict Text-To-Image Model Performance ↗](https://arxiv.org/abs/2306.01755) arXiv (Cornell University) · no summary yet**Charles Lovering, Ellie Pavlick*2023 · 4 citations*
91. **[A Visuospatial Dataset for Naturalistic Verb Learning ↗](https://aclanthology.org/2020.starsem-1.16/) Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics · no summary yet**Dylan Ebert, Ellie Pavlick*2020 · 4 citations*
92. **[Transferring Linear Features Across Language Models With Model Stitching ↗](https://doi.org/10.52202/085713-1621) neural information processing systems · no summary yet**Alan Chen et al.*2025 · 3 citations*
93. **[LLMs model how humans induce logically structured rules ↗](https://doi.org/10.1016/j.jml.2025.104675) Journal of Memory and Language · no summary yet**Alyssa Marie Loo, Ellie Pavlick, Roman Feiman*2025 · 3 citations*
94. **[Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers ↗](https://arxiv.org/abs/2410.13984) arXiv (Cornell University) · no summary yet**Zhang Enyan et al.*2024 · 3 citations*
95. **[Testing Causal Models of Word Meaning in GPT-3 and -4 ↗](https://arxiv.org/abs/2305.14630) arXiv (Cornell University) · no summary yet**Sam Musker, Ellie Pavlick*2023 · 3 citations*
96. **[Instilling Inductive Biases with Subnetworks ↗](https://arxiv.org/abs/2310.10899) arXiv (Cornell University) · no summary yet**Enyan Zhang, Michael A. Lepori, Ellie Pavlick*2023 · 3 citations*
97. **[Whither symbols in the era of advanced neural networks? ↗](https://doi.org/10.1016/j.tics.2026.02.003) Trends in Cognitive Sciences · no summary yet**Thomas L. Griffiths et al.*2026 · 2 citations*
98. **[Comparing Trajectory and Vision Modalities for Verb Representation ↗](https://arxiv.org/abs/2303.12737) arXiv (Cornell University) · no summary yet**Dylan Ebert, Chen Sun, Ellie Pavlick*2023 · 2 citations*
99. **[Deep neural networks can learn generalizable same-different visual relations ↗](https://doi.org/10.32470/njlegbg) arXiv:2310.09612 · no summary yet**Alexa R. Tartaglini et al.*2023 · 2 citations*
100. **[Using Grounded Word Representations to Study Theories of Lexical Concepts ↗](https://aclanthology.org/W19-2918/) Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics · no summary yet**Dylan Ebert, Ellie Pavlick*2019 · 2 citations*

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