{"total":142,"rows":[{"id":"2301.00704","title":"Muse: Text-To-Image Generation via Masked Generative Transformers","created":"2023-01-02","cited_by_count":648,"area":null},{"id":"2405.07987","title":"The Platonic Representation Hypothesis","created":"2024-05-13","cited_by_count":382,"area":null},{"id":"2309.00941","title":"Emergent Linear Representations in World Models of Self-Supervised Sequence Models","created":"2023-09-02","cited_by_count":319,"area":"wm"},{"id":"2312.17172","title":"Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action","created":"2023-12-28","cited_by_count":302,"area":null},{"id":"2401.06102","title":"Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models","created":"2024-01-11","cited_by_count":235,"area":"mechinterp"},{"id":"2303.04226","title":"A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT","created":"2023-03-07","cited_by_count":224,"area":null},{"id":"2301.13823","title":"Grounding Language Models to Images for Multimodal Inputs and Outputs","created":"2023-01-31","cited_by_count":131,"area":null},{"id":"2310.12798","title":"MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter","created":"2023-10-19","cited_by_count":128,"area":null},{"id":"2410.07149","title":"Towards Interpreting Visual Information Processing in Vision-Language Models","created":"2024-10-09","cited_by_count":122,"area":"mllm"},{"id":"2402.10376","title":"Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)","created":"2024-02-16","cited_by_count":119,"area":null},{"id":"2307.16368","title":"AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?","created":"2023-07-31","cited_by_count":81,"area":null},{"id":"2411.04986","title":"The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities","created":"2024-11-07","cited_by_count":69,"area":null},{"id":"2512.10942","title":"VL-JEPA: Joint Embedding Predictive Architecture for Vision-language","created":"2025-12-11","cited_by_count":68,"area":"mllm"},{"id":"2305.06386","title":"Text-To-Concept (and Back) via Cross-Model Alignment","created":"2023-05-10","cited_by_count":64,"area":null},{"id":"2304.01008","title":"Self-Supervised Multimodal Learning: A Survey","created":"2023-03-31","cited_by_count":58,"area":null},{"id":"2504.07951","title":"Scaling Laws for Native Multimodal Models","created":"2025-04-10","cited_by_count":50,"area":null},{"id":"2308.01544","title":"Multimodal Neurons in Pretrained Text-Only Transformers","created":"2023-08-03","cited_by_count":49,"area":null},{"id":"2506.03093","title":"From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit","created":"2025-06-03","cited_by_count":49,"area":"mechinterp"},{"id":"2307.16184","title":"UnIVAL: Unified Model for Image, Video, Audio and Language Tasks","created":"2023-07-30","cited_by_count":45,"area":null},{"id":"2401.05224","title":"Do Vision and Language Encoders Represent the World Similarly?","created":"2024-01-10","cited_by_count":44,"area":null},{"id":"2210.07179","title":"MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting","created":"2022-10-13","cited_by_count":41,"area":null},{"id":"2310.12973","title":"Frozen Transformers in Language Models Are Effective Visual Encoder Layers","created":"2023-10-19","cited_by_count":39,"area":null},{"id":"2406.08074","title":"A Concept-Based Explainability Framework for Large Multimodal Models","created":"2024-06-12","cited_by_count":39,"area":"mllm"},{"id":"2401.01862","title":"A Vision Check-up for Language Models","created":"2024-01-03","cited_by_count":36,"area":null},{"id":"2503.21073","title":"Shared Global and Local Geometry of Language Model Embeddings","created":"2025-03-27","cited_by_count":36,"area":null},{"id":"2506.09047","title":"Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs","created":"2025-06-10","cited_by_count":35,"area":"mllm"},{"id":"2303.11403","title":"eP-ALM: Efficient Perceptual Augmentation of Language Models","created":"2023-03-20","cited_by_count":34,"area":null},{"id":"2406.07544","title":"Situational Awareness Matters in 3D Vision Language Reasoning","created":"2024-06-11","cited_by_count":33,"area":null},{"id":"2402.06475","title":"Large Language Models for Captioning and Retrieving Remote Sensing Images","created":"2024-02-09","cited_by_count":30,"area":null},{"id":"2302.06555","title":"Do Vision and Language Models Share Concepts? A Vector Space Alignment Study","created":"2023-02-13","cited_by_count":27,"area":null},{"id":"2305.03701","title":"LMEye: An Interactive Perception Network for Large Language Models","created":"2023-05-05","cited_by_count":27,"area":"mllm"},{"id":"2403.09974","title":"GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery","created":"2024-03-15","cited_by_count":27,"area":null},{"id":"2410.06981","title":"Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders","created":"2024-10-09","cited_by_count":27,"area":"mechinterp"},{"id":"2406.11193","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","created":"2024-06-17","cited_by_count":26,"area":"mllm"},{"id":"2310.01651","title":"Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations","created":"2023-10-02","cited_by_count":25,"area":"mllm"},{"id":"2502.03214","title":"iVISPAR -- An Interactive Visual-Spatial Reasoning Benchmark for VLMs","created":"2025-02-05","cited_by_count":25,"area":"lr"},{"id":"2506.11976","title":"How Visual Representations Map to Language Feature Space in Multimodal LLMs","created":"2025-06-13","cited_by_count":25,"area":"lr"},{"id":"2403.17343","title":"Residual-based Language Models are Free Boosters for Biomedical Imaging","created":"2024-03-26","cited_by_count":24,"area":null},{"id":"2311.07536","title":"A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering","created":"2023-11-13","cited_by_count":23,"area":null},{"id":"2405.16700","title":"Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs","created":"2024-05-26","cited_by_count":23,"area":null},{"id":"2401.10695","title":"LangBridge: Multilingual Reasoning Without Multilingual Supervision","created":"2024-01-19","cited_by_count":22,"area":"lr"},{"id":"2412.11694","title":"From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities","created":"2024-12-16","cited_by_count":22,"area":null},{"id":"2403.13499","title":"Improved Baselines for Data-efficient Perceptual Augmentation of LLMs","created":"2024-03-20","cited_by_count":18,"area":null},{"id":"2407.05441","title":"Language Representations Can be What Recommenders Need: Findings and Potentials","created":"2024-07-07","cited_by_count":18,"area":null},{"id":"2411.05561","title":"Objective drives the consistency of representational similarity across datasets","created":"2024-11-08","cited_by_count":18,"area":null},{"id":"2409.11369","title":"Learning Spatially-Aware Language and Audio Embeddings","created":"2024-09-17","cited_by_count":17,"area":null},{"id":"2303.11866","title":"Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning","created":"2023-03-21","cited_by_count":16,"area":"mllm"},{"id":"2506.16895","title":"With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You","created":"2025-06-20","cited_by_count":16,"area":null},{"id":"2604.18572","title":"Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale","created":"2026-04-20","cited_by_count":16,"area":null},{"id":"2402.16998","title":"What Do Language Models Hear? Probing for Auditory Representations in Language Models","created":"2024-02-26","cited_by_count":15,"area":null},{"id":"2602.00462","title":"LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs","created":"2026-01-31","cited_by_count":15,"area":"mllm"},{"id":"2310.04999","title":"Symmetrical Linguistic Feature Distillation with CLIP for Scene Text Recognition","created":"2023-10-08","cited_by_count":14,"area":"distill"},{"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":"2604.02486","title":"VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors","created":"2026-04-02","cited_by_count":13,"area":"mllm"},{"id":"2211.08371","title":"Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches","created":"2022-11-15","cited_by_count":12,"area":null},{"id":"2306.12725","title":"Generative Multimodal Entity Linking","created":"2023-06-22","cited_by_count":12,"area":null},{"id":"2310.17050","title":"Exploring Question Decomposition for Zero-Shot VQA","created":"2023-10-25","cited_by_count":12,"area":null},{"id":"2312.02142","title":"Object Recognition as Next Token Prediction","created":"2023-12-04","cited_by_count":12,"area":null},{"id":"2402.19119","title":"VIXEN: Visual Text Comparison Network for Image Difference Captioning","created":"2024-02-29","cited_by_count":12,"area":null},{"id":"2409.19425","title":"Harnessing Frozen Unimodal Encoders for Flexible Multimodal Alignment","created":"2024-09-28","cited_by_count":12,"area":"mllm"},{"id":"2404.09632","title":"Bridging Vision and Language Spaces with Assignment Prediction","created":"2024-04-15","cited_by_count":11,"area":null},{"id":"2407.02333","title":"Why do LLaVA Vision-Language Models Reply to Images in English?","created":"2024-07-02","cited_by_count":11,"area":"mllm"},{"id":"2510.05184","title":"Representation Potentials of Foundation Models for Multimodal Alignment: A Survey","created":"2025-10-05","cited_by_count":11,"area":null},{"id":"2602.15293","title":"The Information Geometry of Softmax: Probing and Steering","created":"2026-02-17","cited_by_count":11,"area":null},{"id":"2606.06021","title":"OPRD: On-Policy Representation Distillation","created":"2026-06-04","cited_by_count":11,"area":"distill"},{"id":"2408.03940","title":"How Well Can Vision Language Models See Image Details?","created":"2024-08-07","cited_by_count":10,"area":"mllm"},{"id":"2310.02050","title":"Tuning Large language model for End-to-end Speech Translation","created":"2023-10-03","cited_by_count":9,"area":null},{"id":"2604.08541","title":"Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts","created":"2026-04-09","cited_by_count":9,"area":"moe"},{"id":"2303.14730","title":"Joint fMRI Decoding and Encoding with Latent Embedding Alignment","created":"2023-03-26","cited_by_count":8,"area":null},{"id":"2410.09454","title":"Skipping Computations in Multimodal LLMs","created":"2024-10-12","cited_by_count":7,"area":"mllm"},{"id":"2506.00653","title":"Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models","created":"2025-05-31","cited_by_count":7,"area":null},{"id":"2408.00331","title":"DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation","created":"2024-08-01","cited_by_count":6,"area":null},{"id":"2305.13782","title":"Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks","created":"2023-05-23","cited_by_count":5,"area":null},{"id":"2305.19103","title":"Does Conceptual Representation Require Embodiment? Insights From Large Language Models","created":"2023-05-30","cited_by_count":5,"area":null},{"id":"2410.19925","title":"Improving Multimodal Large Language Models Using Continual Learning","created":"2024-10-25","cited_by_count":5,"area":"mllm"},{"id":"2411.12293","title":"Generative Timelines for Instructed Visual Assembly","created":"2024-11-19","cited_by_count":5,"area":null},{"id":"2511.02767","title":"Dynamic Reflections: Probing Video Representations with Text Alignment","created":"2025-11-04","cited_by_count":5,"area":null},{"id":"2307.02682","title":"Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment","created":"2023-07-05","cited_by_count":4,"area":null},{"id":"2311.15759","title":"Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs","created":"2023-11-27","cited_by_count":4,"area":"mllm"},{"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":"2403.11317","title":"Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches","created":"2024-03-17","cited_by_count":4,"area":null},{"id":"2404.08949","title":"Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles","created":"2024-04-13","cited_by_count":4,"area":null},{"id":"2404.14687","title":"Pegasus-v1 Technical Report","created":"2024-04-23","cited_by_count":4,"area":"mllm"},{"id":"2406.15812","title":"Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations","created":"2024-06-22","cited_by_count":4,"area":null},{"id":"2410.23698","title":"Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP","created":"2024-10-31","cited_by_count":4,"area":"mllm"},{"id":"2506.01599","title":"Connecting Neural Models Latent Geometries with Relative Geodesic Representations","created":"2025-06-02","cited_by_count":4,"area":null},{"id":"2508.11536","title":"Language models align with brain regions that represent concepts across modalities","created":"2025-08-15","cited_by_count":4,"area":null},{"id":"2512.03248","title":"Learning Network Sheaves for AI-native Semantic Communication","created":"2025-12-02","cited_by_count":4,"area":null},{"id":"2512.05657","title":"Over-the-Air Semantic Alignment with Stacked Intelligent Metasurfaces","created":"2025-12-05","cited_by_count":4,"area":null},{"id":"2603.29676","title":"A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models","created":"2026-03-31","cited_by_count":4,"area":"mllm"},{"id":"2604.03316","title":"When Sinks Help or Hurt: Unified Framework for Attention Sink in Large Vision-Language Models","created":"2026-04-01","cited_by_count":4,"area":"mllm"},{"id":"2604.04496","title":"The Indra Representation Hypothesis for Multimodal Alignment","created":"2026-04-06","cited_by_count":4,"area":null},{"id":"2401.10712","title":"Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge","created":"2024-01-19","cited_by_count":3,"area":"lr"},{"id":"2401.11633","title":"Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss","created":"2024-01-22","cited_by_count":3,"area":"mllm"},{"id":"2402.13561","title":"Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment","created":"2024-02-21","cited_by_count":3,"area":"mllm"},{"id":"2505.19937","title":"ALAS: An Automatic Latent Alignment Score for Audio Language Models","created":"2025-05-26","cited_by_count":3,"area":null},{"id":"2506.02701","title":"On Entity Identification in Language Models","created":"2025-06-03","cited_by_count":3,"area":"mechinterp"},{"id":"2506.03994","title":"Seeing What Tastes Good: Revisiting Multimodal Distributional Semantics in the Billion Parameter Era","created":"2025-06-04","cited_by_count":3,"area":null},{"id":"2603.21786","title":"The Universal Normal Embedding","created":"2026-03-23","cited_by_count":3,"area":"diffusion"},{"id":"2307.16395","title":"Bridging the Gap: Exploring the Capabilities of Bridge-Architectures for Complex Visual Reasoning Tasks","created":"2023-07-31","cited_by_count":2,"area":"lr"}],"next_cursor":"100"}