{"total":102,"rows":[{"id":"2302.07241","title":"ConceptFusion: Open-set Multimodal 3D Mapping","created":"2023-02-14","cited_by_count":304,"area":null},{"id":"2404.08636","title":"Probing the 3D Awareness of Visual Foundation Models","created":"2024-04-12","cited_by_count":177,"area":null},{"id":"2303.15233","title":"Text-to-Image Diffusion Models are Zero-Shot Classifiers","created":"2023-03-27","cited_by_count":143,"area":"diffusion"},{"id":"2310.09336","title":"Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task","created":"2023-10-13","cited_by_count":93,"area":"diffusion"},{"id":"2411.00238","title":"Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem","created":"2024-10-31","cited_by_count":75,"area":"mllm"},{"id":"2307.00117","title":"Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control","created":"2023-06-30","cited_by_count":32,"area":null},{"id":"2502.03566","title":"CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally","created":"2025-02-05","cited_by_count":31,"area":null},{"id":"2406.09613","title":"ImageNet3D: Towards General-Purpose Object-Level 3D Understanding","created":"2024-06-13","cited_by_count":25,"area":null},{"id":"2305.14428","title":"Prompting Language-Informed Distribution for Compositional Zero-Shot Learning","created":"2023-05-23","cited_by_count":24,"area":null},{"id":"2212.12043","title":"When are Lemons Purple? The Concept Association Bias of Vision-Language Models","created":"2022-12-22","cited_by_count":23,"area":"mllm"},{"id":"2407.14662","title":"Relational Composition in Neural Networks: A Survey and Call to Action","created":"2024-07-19","cited_by_count":23,"area":null},{"id":"2311.12997","title":"Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks","created":"2023-11-21","cited_by_count":22,"area":null},{"id":"2503.08723","title":"Is CLIP ideal? No. Can we fix it? Yes!","created":"2025-03-10","cited_by_count":21,"area":null},{"id":"2405.16391","title":"When does compositional structure yield compositional generalization? A kernel theory","created":"2024-05-26","cited_by_count":20,"area":null},{"id":"2405.03207","title":"A Philosophical Introduction to Language Models - Part II: The Way Forward","created":"2024-05-06","cited_by_count":18,"area":null},{"id":"2404.12652","title":"Pre-trained Vision-Language Models Learn Discoverable Visual Concepts","created":"2024-04-19","cited_by_count":16,"area":"mllm"},{"id":"2412.04378","title":"VladVA: Discriminative Fine-tuning of LVLMs","created":"2024-12-05","cited_by_count":15,"area":"mllm"},{"id":"2305.16397","title":"Are Diffusion Models Vision-And-Language Reasoners?","created":"2023-05-25","cited_by_count":14,"area":"lr"},{"id":"2403.16442","title":"If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions","created":"2024-03-25","cited_by_count":14,"area":"mllm"},{"id":"2502.05454","title":"Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following","created":"2025-02-08","cited_by_count":14,"area":null},{"id":"2410.14817","title":"A Complexity-Based Theory of Compositionality","created":"2024-10-18","cited_by_count":13,"area":null},{"id":"2503.09837","title":"On the Limitations of Vision-Language Models in Understanding Image Transforms","created":"2025-03-12","cited_by_count":13,"area":"mllm"},{"id":"2506.15871","title":"Visual symbolic mechanisms: Emergent symbol processing in vision language models","created":"2025-06-18","cited_by_count":13,"area":"mllm"},{"id":"2406.10889","title":"VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment","created":"2024-06-16","cited_by_count":10,"area":"lr"},{"id":"2310.08577","title":"Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models","created":"2023-10-12","cited_by_count":9,"area":"mllm"},{"id":"2405.15164","title":"From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks","created":"2024-05-24","cited_by_count":7,"area":null},{"id":"2406.18534","title":"Towards Compositionality in Concept Learning","created":"2024-06-26","cited_by_count":7,"area":null},{"id":"2409.10488","title":"Do Pre-trained Vision-Language Models Encode Object States?","created":"2024-09-16","cited_by_count":7,"area":"mllm"},{"id":"2505.01104","title":"VSC: Visual Search Compositional Text-to-Image Diffusion Model","created":"2025-05-02","cited_by_count":7,"area":"diffusion"},{"id":"2507.07207","title":"Scaling can lead to compositional generalization","created":"2025-07-09","cited_by_count":7,"area":null},{"id":"2508.05776","title":"Whither symbols in the era of advanced neural networks?","created":"2025-08-07","cited_by_count":7,"area":null},{"id":"2401.14322","title":"Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images","created":"2024-01-25","cited_by_count":6,"area":null},{"id":"2409.09721","title":"Finetuning CLIP to Reason about Pairwise Differences","created":"2024-09-15","cited_by_count":6,"area":"lr"},{"id":"2411.00246","title":"ResiDual Transformer Alignment with Spectral Decomposition","created":"2024-10-31","cited_by_count":6,"area":null},{"id":"2508.05430","title":"Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions","created":"2025-08-07","cited_by_count":6,"area":"mllm"},{"id":"2311.10708","title":"SelfEval: Leveraging the discriminative nature of generative models for evaluation","created":"2023-11-17","cited_by_count":5,"area":"diffusion"},{"id":"2406.15035","title":"Improving Interpretability and Robustness for the Detection of AI-Generated Images","created":"2024-06-21","cited_by_count":5,"area":null},{"id":"2409.03025","title":"No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning","created":"2024-09-04","cited_by_count":5,"area":null},{"id":"2410.08309","title":"Swing-by Dynamics in Concept Learning and Compositional Generalization","created":"2024-10-10","cited_by_count":5,"area":"diffusion"},{"id":"2503.05949","title":"Bayesian Fields: Task-driven Open-Set Semantic Gaussian Splatting","created":"2025-03-07","cited_by_count":5,"area":null},{"id":"2503.23125","title":"Evaluating Compositional Scene Understanding in Multimodal Generative Models","created":"2025-03-29","cited_by_count":5,"area":"mllm"},{"id":"2506.04461","title":"Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey","created":"2025-06-04","cited_by_count":5,"area":null},{"id":"2507.07544","title":"Position: We Need An Algorithmic Understanding of Generative AI","created":"2025-07-10","cited_by_count":5,"area":null},{"id":"2508.20783","title":"Evaluating Compositional Generalisation in VLMs and Diffusion Models","created":"2025-08-28","cited_by_count":5,"area":"diffusion"},{"id":"2312.03881","title":"FoMo Rewards: Can we cast foundation models as reward functions?","created":"2023-12-06","cited_by_count":4,"area":null},{"id":"2405.01825","title":"Improving Concept Alignment in Vision-Language Concept Bottleneck Models","created":"2024-05-03","cited_by_count":4,"area":null},{"id":"2505.20021","title":"Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models","created":"2025-05-26","cited_by_count":4,"area":"lr"},{"id":"2507.03683","title":"On the rankability of visual embeddings","created":"2025-07-04","cited_by_count":4,"area":null},{"id":"2507.07985","title":"Common Data Properties Limit Object-Attribute Binding in CLIP","created":"2025-07-10","cited_by_count":4,"area":"mllm"},{"id":"2408.14153","title":"Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions","created":"2024-08-26","cited_by_count":3,"area":null},{"id":"2408.17046","title":"Text-to-Image Generation Via Energy-Based CLIP","created":"2024-08-30","cited_by_count":3,"area":null},{"id":"2411.13754","title":"Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios","created":"2024-11-20","cited_by_count":3,"area":"lr"},{"id":"2506.05439","title":"LLMs Can Compensate for Deficiencies in Visual Representations","created":"2025-06-05","cited_by_count":3,"area":"mllm"},{"id":"2509.09541","title":"Compositional Concept Generalization with Variational Quantum Circuits","created":"2025-09-11","cited_by_count":3,"area":"mllm"},{"id":"2509.21287","title":"DisCoCLIP: A Distributional Compositional Tensor Network Encoder for Vision-Language Understanding","created":"2025-09-25","cited_by_count":3,"area":"mllm"},{"id":"2511.04247","title":"On the Brittleness of CLIP Text Encoders","created":"2025-11-06","cited_by_count":3,"area":null},{"id":"2511.12331","title":"SpaceVLM: Sub-Space Modeling of Negation in Vision-Language Models","created":"2025-11-15","cited_by_count":3,"area":"mllm"},{"id":"2512.20907","title":"PanoGrounder: Bridging 2D and 3D with Panoramic Scene Representations for VLM-based 3D Visual Grounding","created":"2025-12-24","cited_by_count":3,"area":null},{"id":"2506.08194","title":"GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra","created":"2025-06-09","cited_by_count":2,"area":"lr"},{"id":"2509.15695","title":"ORIC: Benchmarking Object Recognition under Contextual Incongruity in Large Vision-Language Models","created":"2025-09-19","cited_by_count":2,"area":"mllm"},{"id":"2511.06653","title":"HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment","created":"2025-11-10","cited_by_count":2,"area":"mllm"},{"id":"2512.17178","title":"ABE-CLIP: Training-Free Attribute Binding Enhancement for Compositional Image-Text Matching","created":"2025-12-19","cited_by_count":2,"area":null},{"id":"2607.23052","title":"Similarity Is Not Logic: Factored Inference for Dual-Encoder Vision-Language Models","created":"2026-07-25","cited_by_count":2,"area":"mllm"},{"id":"2403.18525","title":"Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP","created":"2024-03-27","cited_by_count":1,"area":"mllm"},{"id":"2406.09067","title":"Interpreting the structure of multi-object representations in vision encoders","created":"2024-06-13","cited_by_count":1,"area":null},{"id":"2505.02278","title":"Compositional Image-Text Matching and Retrieval by Grounding Entities","created":"2025-05-04","cited_by_count":1,"area":"mllm"},{"id":"2506.09691","title":"Adding simple structure at inference improves Vision-Language Compositionality","created":"2025-06-11","cited_by_count":1,"area":"mllm"},{"id":"2511.06146","title":"Referring Expressions as a Lens into Spatial Language Grounding in Vision-Language Models","created":"2025-11-08","cited_by_count":1,"area":"lr"},{"id":"2512.07203","title":"MMRPT: MultiModal Reinforcement Pre-Training via Masked Vision-Dependent Reasoning","created":"2025-12-08","cited_by_count":1,"area":"lr"},{"id":"2512.08854","title":"Is Generation Required for Data-Efficient Perception?","created":"2025-12-09","cited_by_count":1,"area":null},{"id":"2602.18867","title":"Similarity-as-Evidence: Calibrating Overconfident VLMs for Interpretable and Label-Efficient Medical Active Learning","created":"2026-02-21","cited_by_count":1,"area":null},{"id":"2604.08324","title":"Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2606.13288","title":"Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality","created":"2026-06-11","cited_by_count":1,"area":"mllm"},{"id":"2607.12290","title":"The Sound of Absence: Audio-Language Embedding Models Struggle with Negation","created":"2026-07-14","cited_by_count":1,"area":null},{"id":"2608.15601","title":"Quantum Models with Multi-Stage Training for Compositional Concept Generalization","created":"2026-08-16","cited_by_count":1,"area":null},{"id":"2401.06808","title":"Grounded learning for compositional vector semantics","created":"2024-01-10","cited_by_count":0,"area":null},{"id":"2405.07969","title":"Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation","created":"2024-05-13","cited_by_count":0,"area":null},{"id":"2409.06364","title":"What happens to diffusion model likelihood when your model is conditional?","created":"2024-09-10","cited_by_count":0,"area":"diffusion"},{"id":"2409.16024","title":"From Goal-Conditioned to Language-Conditioned Agents via Vision-Language Models","created":"2024-09-24","cited_by_count":0,"area":"mllm"},{"id":"2503.13021","title":"Dynamic Relation Inference via Verb Embeddings","created":"2025-03-17","cited_by_count":0,"area":null},{"id":"2504.06618","title":"Human-like compositional learning of visually-grounded concepts using synthetic environments","created":"2025-04-09","cited_by_count":0,"area":"lr"},{"id":"2507.08000","title":"Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models","created":"2025-07-10","cited_by_count":0,"area":"mllm"},{"id":"2511.08075","title":"CLIP is All You Need for Human-like Semantic Representations in Stable Diffusion","created":"2025-11-11","cited_by_count":0,"area":"diffusion"},{"id":"2512.10067","title":"Independent Density Estimation","created":"2025-12-10","cited_by_count":0,"area":"mllm"},{"id":"2601.12809","title":"Left-Right Symmetry Breaking in CLIP-style Vision-Language Models Trained on Synthetic Spatial-Relation Data","created":"2026-01-19","cited_by_count":0,"area":"mllm"},{"id":"2602.16545","title":"Let's Split Up: Zero-Shot Classifier Edits for Fine-Grained Video Understanding","created":"2026-02-18","cited_by_count":0,"area":null},{"id":"2603.19158","title":"Adaptive Auxiliary Prompt Blending for Target-Faithful Diffusion Generation","created":"2026-03-19","cited_by_count":0,"area":"diffusion"},{"id":"2603.25722","title":"No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2604.15306","title":"Generalization in LLM Problem Solving: The Case of the Shortest Path","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2605.28132","title":"Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2605.31503","title":"How can embedding models bind concepts?","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.03976","title":"Formalizing the Binding Problem","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2606.19941","title":"Compositionality Emerges in a Narrow Depth-Connectivity Regime: Architecture Constraints and Solution Manifolds","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2607.00858","title":"MoVA: Learning Asymmetric Dual Projections for Modular Long Video-Text Alignment","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.14116","title":"ReportMedSAM: Guiding Segmentation Through Radiology Reports","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2608.00726","title":"Foveated Probes Recover Localized Binding Information in Vision Foundation Models","created":"2026-08-01","cited_by_count":0,"area":null},{"id":"2608.07353","title":"Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2608.21713","title":"The Plan, Not the Decoder: Diagnosing and Repairing Compositional Failure in Reasoning-Augmented Text-to-Image Generation","created":"2026-08-22","cited_by_count":0,"area":null},{"id":"2609.16284","title":"ProtoLIP: From Sentence-Level to Object-Level Evidence Disentanglement","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.31965","title":"SNIP++: Fine-Grained Symbolic-Numerical Alignment for Symbolic Regression","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":"100"}