Ellie Pavlick
Identifiers
- name variant Ellie Pavlick 0.60 · backfill
Papers (70)
- Source-Modality Monitoring in Vision-Language Models cs.CL · 2026 · author #3
- Shared Lexical Task Representations Explain Behavioral Variability In LLMs cs.CL · 2026 · author #8
- Handling and Interpreting Missing Modalities in Patient Clinical Trajectories via Autoregressive Sequence Modeling cs.LG · 2026 · author #2
- How Do Language Models Compose Functions? cs.CL · 2025 · author #2
- Whither symbols in the era of advanced neural networks? cs.AI · 2025 · author #4
- What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models cs.CL · 2025 · author #3
- Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility cs.CL · 2025 · author #6
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cs.CL · 2025 · author #814
- LLMs model how humans induce logically structured rules cs.AI · 2025 · author #2
- How Do Vision-Language Models Process Conflicting Information Across Modalities? cs.CL · 2025 · author #3
- Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline cs.CL · 2025 · author #4
- Does Training on Synthetic Data Make Models Less Robust? cs.CL · 2025 · author #2
- Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers cs.CL · 2024 · author #4
- The Same But Different: Structural Similarities and Differences in Multilingual Language Modeling cs.CL · 2024 · author #5
- Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects cs.CV · 2024 · author #6
- Talking Heads: Understanding Inter-layer Communication in Transformer Language Models cs.CL · 2024 · author #3
- Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting cs.CL · 2024 · author #4
- Lessons from the Trenches on Reproducible Evaluation of Language Models cs.CL · 2024 · author #22
- mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models? cs.CL · 2024 · author #3
- Bayesian Preference Elicitation with Language Models cs.CL · 2024 · author #3
- Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction cs.HC · 2024 · author #9
- The dynamic interplay between in-context and in-weight learning in humans and neural networks cs.NE · 2024 · author #2
- Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks cs.AI · 2024 · author #4
- Analyzing Modular Approaches for Visual Question Decomposition cs.CV · 2023 · author #2
- Uncovering Intermediate Variables in Transformers using Circuit Probing cs.CL · 2023 · author #3
- Emergence of Abstract State Representations in Embodied Sequence Modeling cs.LG · 2023 · author #6
- Characterizing Mechanisms for Factual Recall in Language Models cs.CL · 2023 · author #3
- Instilling Inductive Biases with Subnetworks cs.LG · 2023 · author #3
- Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations cs.CV · 2023 · author #7
- Circuit Component Reuse Across Tasks in Transformer Language Models cs.CL · 2023 · author #3
- NeuroSurgeon: A Toolkit for Subnetwork Analysis cs.LG · 2023 · author #2
- Language Models Implement Simple Word2Vec-style Vector Arithmetic cs.CL · 2023 · author #3
- Testing Causal Models of Word Meaning in GPT-3 and -4 cs.CL · 2023 · author #2
- Training Priors Predict Text-To-Image Model Performance cs.CV · 2023 · author #2
- Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs cs.LG · 2023 · author #3
- Comparing Trajectory and Vision Modalities for Verb Representation cs.CV · 2023 · author #3
- Break It Down: Evidence for Structural Compositionality in Neural Networks cs.CL · 2023 · author #3
- Are Language Models Worse than Humans at Following Prompts? It's Complicated cs.CL · 2023 · author #4
- Does CLIP Bind Concepts? Probing Compositionality in Large Image Models cs.CV · 2022 · author #7
- Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex cs.AI · 2022 · author #4
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cs.CL · 2022 · author #4
- Linearly Mapping from Image to Text Space cs.CL · 2022 · author #4
- Unit Testing for Concepts in Neural Networks cs.CL · 2022 · author #2
- Pretraining on Interactions for Learning Grounded Affordance Representations cs.CL · 2022 · author #4
- Do Trajectories Encode Verb Meaning? cs.CL · 2022 · author #3
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models cs.CL · 2022 · author #125
- Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? cs.CV · 2022 · author #3
- A Novel Corpus of Discourse Structure in Humans and Computers cs.CL · 2021 · author #8
- Does Vision-and-Language Pretraining Improve Lexical Grounding? cs.CL · 2021 · author #3
- Frequency Effects on Syntactic Rule Learning in Transformers cs.CL · 2021 · author #4
- Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color cs.CV · 2021 · author #5
- Do Prompt-Based Models Really Understand the Meaning of their Prompts? cs.CL · 2021 · author #2
- The MultiBERTs: BERT Reproductions for Robustness Analysis cs.CL · 2021 · author #12
- Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering cs.CL · 2021 · author #2
- Spatial Language Understanding for Object Search in Partially Observed City-scale Environments cs.RO · 2020 · author #4
- A Visuospatial Dataset for Naturalistic Verb Learning cs.CL · 2020 · author #2
- Measuring and Reducing Gendered Correlations in Pre-trained Models cs.CL · 2020 · author #6
- Self-play for Data Efficient Language Acquisition cs.CL · 2020 · author #2
- Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces cs.CL · 2020 · author #4
- Robot Object Retrieval with Contextual Natural Language Queries cs.RO · 2020 · author #5
- Does Data Augmentation Improve Generalization in NLP? cs.CL · 2020 · author #3
- What Happens To BERT Embeddings During Fine-tuning? cs.CL · 2020 · author #3
- Planning with State Abstractions for Non-Markovian Task Specifications cs.RO · 2019 · author #5
- What do you learn from context? Probing for sentence structure in contextualized word representations cs.CL · 2019 · author #11
- BERT Rediscovers the Classical NLP Pipeline cs.CL · 2019 · author #3
- Probing What Different NLP Tasks Teach Machines about Function Word Comprehension cs.CL · 2019 · author #12
- Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference cs.CL · 2019 · author #2
- Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling cs.CL · 2018 · author #15
- WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse cs.CL · 2018 · author #2
- Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation cs.CL · 2018 · author #5
Mentions
- 2402.08674 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2310.09612 #7 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2508.05776 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2507.22457 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2507.03876 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2507.01790 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2505.20546 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2406.09519 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2502.07164 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2406.00053 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2311.04354 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2406.15955 #6 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2410.13984 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2410.09223 #5 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2212.10537 #7 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2310.08744 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2404.12444 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2305.16130 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2403.05576 #9 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2403.05534 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2402.08211 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2310.10899 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2311.06411 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2301.07085 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2311.02171 #6 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2301.10884 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2306.01755 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2310.15910 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2309.00244 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2211.05100 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2206.04615 #125 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2203.17271 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2305.14630 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2303.12737 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2303.08114 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2209.15162 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2211.14673 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2208.10244 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2207.02272 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2206.11953 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2109.01247 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2106.16163 #12 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2111.05940 #8 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2109.10246 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2109.07020 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2109.06129 #5 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2101.00391 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2012.02705 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2010.06032 #6 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2010.15225 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2010.02976 #4 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2010.04872 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2004.15012 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2006.13253 #5 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2004.14448 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 1905.05950 #3 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 1904.11544 #12 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 1812.10860 #15 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 1902.01007 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 1905.12096 #5 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 1905.06316 #11 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 1804.08207 #5 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 1808.09422 #2 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2604.22027 #8 · arxiv_oai · confidence 0.70 Ellie Pavlick
- 2405.14782 #22 · arxiv_oai · confidence 0.70 Ellie Pavlick
Frequent Coauthors
- Carsten Eickhoff 9 shared papers
- Ian Tenney 9 shared papers
- Jack Merullo 9 shared papers
- Michael A. Lepori 9 shared papers
- Charles Lovering 8 shared papers
- Tian Yun 8 shared papers
- Chen Sun 7 shared papers
- Albert Webson 6 shared papers
- Roma Patel 6 shared papers
- Dipanjan Das 5 shared papers
- Najoung Kim 5 shared papers
- Tal Linzen 5 shared papers
- Thomas Serre 5 shared papers
- Benjamin Van Durme 4 shared papers
- Dan Garrette 4 shared papers
- Dylan Ebert 4 shared papers
- Qinan Yu 4 shared papers
- R. Thomas McCoy 4 shared papers
- Samuel R. Bowman 4 shared papers
- Adam Poliak 3 shared papers