Does CLIP Bind Concepts? Probing Compositionality in Large Image Models
Fuente:
arXiv
Saved in:
| Main Authors: | Lewis, Martha, Nayak, Nihal V., Yu, Peilin, Yu, Qinan, Merullo, Jack, Bach, Stephen H., Pavlick, Ellie |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
by: Khandelwal, Apoorv, et al.
Published: (2024)
by: Khandelwal, Apoorv, et al.
Published: (2024)
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
by: Merullo, Jack, et al.
Published: (2024)
by: Merullo, Jack, et al.
Published: (2024)
Circuit Component Reuse Across Tasks in Transformer Language Models
by: Merullo, Jack, et al.
Published: (2023)
by: Merullo, Jack, et al.
Published: (2023)
Language Models Implement Simple Word2Vec-style Vector Arithmetic
by: Merullo, Jack, et al.
Published: (2023)
by: Merullo, Jack, et al.
Published: (2023)
Transferring Linear Features Across Language Models With Model Stitching
by: Chen, Alan, et al.
Published: (2025)
by: Chen, Alan, et al.
Published: (2025)
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
by: Anand, Suraj, et al.
Published: (2024)
by: Anand, Suraj, et al.
Published: (2024)
The Same But Different: Structural Similarities and Differences in Multilingual Language Modeling
by: Zhang, Ruochen, et al.
Published: (2024)
by: Zhang, Ruochen, et al.
Published: (2024)
Does Training on Synthetic Data Make Models Less Robust?
by: Zhang, Lingze, et al.
Published: (2025)
by: Zhang, Lingze, et al.
Published: (2025)
Uncovering Intermediate Variables in Transformers using Circuit Probing
by: Lepori, Michael A., et al.
Published: (2023)
by: Lepori, Michael A., et al.
Published: (2023)
How Do Language Models Compose Functions?
by: Khandelwal, Apoorv, et al.
Published: (2025)
by: Khandelwal, Apoorv, et al.
Published: (2025)
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
by: Nayak, Nihal V., et al.
Published: (2024)
by: Nayak, Nihal V., et al.
Published: (2024)
What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
by: Yun, Tian, et al.
Published: (2025)
by: Yun, Tian, et al.
Published: (2025)
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
by: Su, Jinyan, et al.
Published: (2024)
by: Su, Jinyan, et al.
Published: (2024)
Revisiting Generalization Across Difficulty Levels: It's Not So Easy
by: Kordi, Yeganeh, et al.
Published: (2025)
by: Kordi, Yeganeh, et al.
Published: (2025)
If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
by: Esfandiarpoor, Reza, et al.
Published: (2024)
by: Esfandiarpoor, Reza, et al.
Published: (2024)
Source-Modality Monitoring in Vision-Language Models
by: Hua, Etha Tianze, et al.
Published: (2026)
by: Hua, Etha Tianze, et al.
Published: (2026)
From Memorization to Reasoning in the Spectrum of Loss Curvature
by: Merullo, Jack, et al.
Published: (2025)
by: Merullo, Jack, et al.
Published: (2025)
mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?
by: Hua, Tianze, et al.
Published: (2024)
by: Hua, Tianze, et al.
Published: (2024)
LLMs as Models for Analogical Reasoning
by: Musker, Sam, et al.
Published: (2024)
by: Musker, Sam, et al.
Published: (2024)
Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline
by: Lu, Meng, et al.
Published: (2025)
by: Lu, Meng, et al.
Published: (2025)
How Do Vision-Language Models Process Conflicting Information Across Modalities?
by: Hua, Tianze, et al.
Published: (2025)
by: Hua, Tianze, et al.
Published: (2025)
A Knapsack by Any Other Name: Presentation impacts LLM performance on NP-hard problems
by: Duchnowski, Alex, et al.
Published: (2025)
by: Duchnowski, Alex, et al.
Published: (2025)
K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
by: Abdullahi, Tassallah, et al.
Published: (2025)
by: Abdullahi, Tassallah, et al.
Published: (2025)
I Have No Mouth, and I Must Rhyme: Uncovering Internal Phonetic Representations in LLaMA 3.2
by: McLaughlin, Oliver, et al.
Published: (2025)
by: McLaughlin, Oliver, et al.
Published: (2025)
Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers
by: Enyan, Zhang, et al.
Published: (2024)
by: Enyan, Zhang, et al.
Published: (2024)
Shared Lexical Task Representations Explain Behavioral Variability In LLMs
by: Yang, Zhuonan, et al.
Published: (2026)
by: Yang, Zhuonan, et al.
Published: (2026)
On Linear Representations and Pretraining Data Frequency in Language Models
by: Merullo, Jack, et al.
Published: (2025)
by: Merullo, Jack, et al.
Published: (2025)
Bayesian Preference Elicitation with Language Models
by: Handa, Kunal, et al.
Published: (2024)
by: Handa, Kunal, et al.
Published: (2024)
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
by: Esfandiarpoor, Reza, et al.
Published: (2023)
by: Esfandiarpoor, Reza, et al.
Published: (2023)
Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
by: Lepori, Michael A., et al.
Published: (2025)
by: Lepori, Michael A., et al.
Published: (2025)
Transformer Mechanisms Mimic Frontostriatal Gating Operations When Trained on Human Working Memory Tasks
by: Traylor, Aaron, et al.
Published: (2024)
by: Traylor, Aaron, et al.
Published: (2024)
The Shape of Beliefs: Geometry, Dynamics, and Interventions along Representation Manifolds of Language Models' Posteriors
by: Sarfati, Raphaël, et al.
Published: (2026)
by: Sarfati, Raphaël, et al.
Published: (2026)
Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities
by: Jobanputra, Mayank, et al.
Published: (2025)
by: Jobanputra, Mayank, et al.
Published: (2025)
What are They Thinking? Delineation, Probing and Tracking of Concepts in LLMs
by: Abdelwahab, Mohamed, et al.
Published: (2026)
by: Abdelwahab, Mohamed, et al.
Published: (2026)
Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning
by: Yu, Qinan, et al.
Published: (2026)
by: Yu, Qinan, et al.
Published: (2026)
ComCLIP: Training-Free Compositional Image and Text Matching
by: Jiang, Kenan, et al.
Published: (2022)
by: Jiang, Kenan, et al.
Published: (2022)
LLM Circuit Analyses Are Consistent Across Training and Scale
by: Tigges, Curt, et al.
Published: (2024)
by: Tigges, Curt, et al.
Published: (2024)
Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
by: Boppana, Siddharth, et al.
Published: (2026)
by: Boppana, Siddharth, et al.
Published: (2026)
$λ$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
by: Patel, Maitreya, et al.
Published: (2024)
by: Patel, Maitreya, et al.
Published: (2024)
Improved Representation Steering for Language Models
by: Wu, Zhengxuan, et al.
Published: (2025)
by: Wu, Zhengxuan, et al.
Published: (2025)
Similar Items
-
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
by: Khandelwal, Apoorv, et al.
Published: (2024) -
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
by: Merullo, Jack, et al.
Published: (2024) -
Circuit Component Reuse Across Tasks in Transformer Language Models
by: Merullo, Jack, et al.
Published: (2023) -
Language Models Implement Simple Word2Vec-style Vector Arithmetic
by: Merullo, Jack, et al.
Published: (2023) -
Transferring Linear Features Across Language Models With Model Stitching
by: Chen, Alan, et al.
Published: (2025)