id int64 0 388 | paper_ID stringlengths 12 12 | paper_title stringlengths 25 148 | publication_date stringdate 2024-07-29 00:00:00 2025-09-05 00:00:00 | update_date stringdate 2024-07-29 00:00:00 2025-09-05 00:00:00 | image imagewidth (px) 1.14k 1.7k |
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0 | 2509.05215v1 | BEDTime_ A Unified Benchmark for Automatically Describing Time Series | 2025-09-05 | 2025-09-05 | |
1 | 2509.04438v1 | The Telephone Game_ Evaluating Semantic Drift in Unified Models | 2025-09-04 | 2025-09-04 | |
2 | 2509.03740v1 | Singular Value Few-shot Adaptation of Vision-Language Models | 2025-09-03 | 2025-09-03 | |
3 | 2509.02805v1 | Challenges in Understanding Modality Conflict in Vision-Language Models | 2025-09-02 | 2025-09-02 | |
4 | 2509.01658v1 | MoTo_ A Zero-shot Plug-in Interaction-aware Navigation for General Mobile Manipulation | 2025-09-01 | 2025-09-01 | |
5 | 2509.02615v1 | Radio Astronomy in the Era of Vision-Language Models_ Prompt Sensitivity and Adaptation | 2025-08-31 | 2025-08-31 | |
6 | 2509.00598v1 | DGL-RSIS_ Decoupling Global Spatial Context and Local Class Semantics for Training-Free Remote Sensing Image Segmentation | 2025-08-30 | 2025-08-30 | |
7 | 2509.00284v1 | Generative AI for Industrial Contour Detection_ A Language-Guided Vision System | 2025-08-29 | 2025-08-29 | |
8 | 2508.21066v1 | OneReward_ Unified Mask-Guided Image Generation via Multi-Task Human Preference Learning | 2025-08-28 | 2025-08-28 | |
9 | 2508.20072v1 | Discrete Diffusion VLA_ Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies | 2025-08-27 | 2025-08-27 | |
10 | 2508.19376v1 | Fine-Tuning Vision-Language Models for Neutrino Event Analysis in High-Energy Physics Experiments | 2025-08-26 | 2025-08-26 | |
11 | 2508.18430v1 | CLARIFY_ A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering | 2025-08-25 | 2025-08-25 | |
12 | 2508.17467v1 | MoE-Inference-Bench_ Performance Evaluation of Mixture of Expert Large Language and Vision Models | 2025-08-24 | 2025-08-24 | |
13 | 2508.17130v1 | Structural Damage Detection Using AI Super Resolution and Visual Language Model | 2025-08-23 | 2025-08-23 | |
14 | 2508.16839v3 | Route-and-Execute_ Auditable Model-Card Matching and Specialty-Level Deployment | 2025-08-22 | 2025-08-31 | |
15 | 2508.15960v1 | Glo-VLMs_ Leveraging Vision-Language Models for Fine-Grained Diseased Glomerulus Classification | 2025-08-21 | 2025-08-21 | |
16 | 2508.15036v1 | MoEcho_ Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs | 2025-08-20 | 2025-08-20 | |
17 | 2508.13998v1 | Embodied-R1_ Reinforced Embodied Reasoning for General Robotic Manipulation | 2025-08-19 | 2025-08-19 | |
18 | 2508.13305v1 | Prune2Drive_ A Plug-and-Play Framework for Accelerating Vision-Language Models in Autonomous Driving | 2025-08-18 | 2025-08-18 | |
19 | 2508.12512v1 | LangVision-LoRA-NAS_ Neural Architecture Search for Variable LoRA Rank in Vision Language Models | 2025-08-17 | 2025-08-17 | |
20 | 2508.12137v1 | Infusing fine-grained visual knowledge to Vision-Language Models | 2025-08-16 | 2025-08-16 | |
21 | 2508.11808v1 | Labels or Input_ Rethinking Augmentation in Multimodal Hate Detection | 2025-08-15 | 2025-08-15 | |
22 | 2508.11093v1 | Utilizing Vision-Language Models as Action Models for Intent Recognition and Assistance | 2025-08-14 | 2025-08-14 | |
23 | 2508.10180v2 | Efficient Forward-Only Data Valuation for Pretrained LLMs and VLMs | 2025-08-13 | 2025-08-18 | |
24 | 2508.10935v2 | HQ-OV3D_ A High Box Quality Open-World 3D Detection Framework based on Diffision Model | 2025-08-12 | 2025-08-18 | |
25 | 2508.08521v1 | VISOR_ Visual Input-based Steering for Output Redirection in Vision-Language Models | 2025-08-11 | 2025-08-11 | |
26 | 2508.07501v2 | FormCoach_ Lift Smarter_ Not Harder | 2025-08-10 | 2025-08-16 | |
27 | 2508.07023v1 | MV-CoRe_ Multimodal Visual-Conceptual Reasoning for Complex Visual Question Answering | 2025-08-09 | 2025-08-09 | |
28 | 2508.06350v1 | Aligning Effective Tokens with Video Anomaly in Large Language Models | 2025-08-08 | 2025-08-08 | |
29 | 2508.05899v1 | HOLODECK 2_0_ Vision-Language-Guided 3D World Generation with Editing | 2025-08-07 | 2025-08-07 | |
30 | 2508.04931v1 | INTENTION_ Inferring Tendencies of Humanoid Robot Motion Through Interactive Intuition and Grounded VLM | 2025-08-06 | 2025-08-06 | |
31 | 2508.03967v1 | RAVID_ Retrieval-Augmented Visual Detection_ A Knowledge-Driven Approach for AI-Generated Image Identification | 2025-08-05 | 2025-08-05 | |
32 | 2508.02917v1 | Following Route Instructions using Large Vision-Language Models_ A Comparison between Low-level and Panoramic Action Spaces | 2025-08-04 | 2025-08-04 | |
33 | 2508.01943v1 | ROVER_ Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks | 2025-08-03 | 2025-08-03 | |
34 | 2508.01408v1 | Artificial Intelligence and Misinformation in Art_ Can Vision Language Models Judge the Hand or the Machine Behind the Canvas_ | 2025-08-02 | 2025-08-02 | |
35 | 2508.01057v2 | Edge-Based Multimodal Sensor Data Fusion with Vision Language Models _VLMs_ for Real-time Autonomous Vehicle Accident Avoidance | 2025-08-01 | 2025-08-12 | |
36 | 2508.00171v1 | On the Risk of Misleading Reports_ Diagnosing Textual Biases in Multimodal Clinical AI | 2025-07-31 | 2025-07-31 | |
37 | 2507.23134v1 | Details Matter for Indoor Open-vocabulary 3D Instance Segmentation | 2025-07-30 | 2025-07-30 | |
38 | 2507.22958v1 | CHECK-MAT_ Checking Hand-Written Mathematical Answers for the Russian Unified State Exam | 2025-07-29 | 2025-07-29 | |
39 | 2507.21353v1 | Group Relative Augmentation for Data Efficient Action Detection | 2025-07-28 | 2025-07-28 | |
40 | 2507.20409v1 | Cognitive Chain-of-Thought_ Structured Multimodal Reasoning about Social Situations | 2025-07-27 | 2025-07-27 | |
41 | 2507.20077v2 | The Devil is in the EOS_ Sequence Training for Detailed Image Captioning | 2025-07-26 | 2025-08-21 | |
42 | 2507.19679v1 | Efficient Learning for Product Attributes with Compact Multimodal Models | 2025-07-25 | 2025-07-25 | |
43 | 2507.18743v1 | SAR-TEXT_ A Large-Scale SAR Image-Text Dataset Built with SAR-Narrator and Progressive Transfer Learning | 2025-07-24 | 2025-07-24 | |
44 | 2507.17722v1 | BetterCheck_ Towards Safeguarding VLMs for Automotive Perception Systems | 2025-07-23 | 2025-07-23 | |
45 | 2507.17050v1 | Toward Scalable Video Narration_ A Training-free Approach Using Multimodal Large Language Models | 2025-07-22 | 2025-07-22 | |
46 | 2507.16856v1 | SIA_ Enhancing Safety via Intent Awareness for Vision-Language Models | 2025-07-21 | 2025-07-21 | |
47 | 2507.15025v1 | Survey of GenAI for Automotive Software Development_ From Requirements to Executable Code | 2025-07-20 | 2025-07-20 | |
48 | 2507.15882v2 | Document Haystack_ A Long Context Multimodal Image_Document Understanding Vision LLM Benchmark | 2025-07-18 | 2025-08-04 | |
49 | 2507.13568v2 | LoRA-Loop_ Closing the Synthetic Replay Cycle for Continual VLM Learning | 2025-07-17 | 2025-07-29 | |
50 | 2507.12644v1 | VLMgineer_ Vision Language Models as Robotic Toolsmiths | 2025-07-16 | 2025-07-16 | |
51 | 2507.11730v1 | Seeing the Signs_ A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis | 2025-07-15 | 2025-07-15 | |
52 | 2507.10548v1 | EmbRACE-3K_ Embodied Reasoning and Action in Complex Environments | 2025-07-14 | 2025-07-14 | |
53 | 2507.09615v1 | Towards Fine-Grained Adaptation of CLIP via a Self-Trained Alignment Score | 2025-07-13 | 2025-07-13 | |
54 | 2507.09209v1 | Uncertainty-Driven Expert Control_ Enhancing the Reliability of Medical Vision-Language Models | 2025-07-12 | 2025-07-12 | |
55 | 2507.09071v1 | BlindSight_ Harnessing Sparsity for Efficient VLMs | 2025-07-11 | 2025-07-11 | |
56 | 2507.07966v3 | Scaling RL to Long Videos | 2025-07-10 | 2025-07-30 | |
57 | 2507.07317v2 | ADIEE_ Automatic Dataset Creation and Scorer for Instruction-Guided Image Editing Evaluation | 2025-07-09 | 2025-07-28 | |
58 | 2507.08030v1 | A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models | 2025-07-08 | 2025-07-08 | |
59 | 2507.05515v2 | LEGO Co-builder_ Exploring Fine-Grained Vision-Language Modeling for Multimodal LEGO Assembly Assistants | 2025-07-07 | 2025-07-23 | |
60 | 2507.04524v1 | VLM-TDP_ VLM-guided Trajectory-conditioned Diffusion Policy for Robust Long-Horizon Manipulation | 2025-07-06 | 2025-07-06 | |
61 | 2507.04107v2 | VICI_ VLM-Instructed Cross-view Image-localisation | 2025-07-05 | 2025-07-22 | |
62 | 2507.13361v1 | VLMs have Tunnel Vision_ Evaluating Nonlocal Visual Reasoning in Leading VLMs | 2025-07-04 | 2025-07-04 | |
63 | 2507.03123v1 | Towards a Psychoanalytic Perspective on VLM Behaviour_ A First-step Interpretation with Intriguing Observations | 2025-07-03 | 2025-07-03 | |
64 | 2507.02190v1 | cVLA_ Towards Efficient Camera-Space VLAs | 2025-07-02 | 2025-07-02 | |
65 | 2507.02994v1 | MedGround-R1_ Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization | 2025-07-01 | 2025-07-01 | |
66 | 2507.00209v3 | SurgiSR4K_ A High-Resolution Endoscopic Video Dataset for Robotic-Assisted Minimally Invasive Procedures | 2025-06-30 | 2025-07-29 | |
67 | 2506.23329v1 | IR3D-Bench_ Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering | 2025-06-29 | 2025-06-29 | |
68 | 2507.02948v3 | DriveMRP_ Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction | 2025-06-28 | 2025-07-13 | |
69 | 2506.22636v1 | ReCo_ Reminder Composition Mitigates Hallucinations in Vision-Language Models | 2025-06-27 | 2025-06-27 | |
70 | 2506.21656v1 | Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs | 2025-06-26 | 2025-06-26 | |
71 | 2506.20832v1 | Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models | 2025-06-25 | 2025-06-25 | |
72 | 2507.02909v1 | Beyond Token Pruning_ Operation Pruning in Vision-Language Models | 2025-06-24 | 2025-06-24 | |
73 | 2506.19079v1 | Reading Smiles_ Proxy Bias in Foundation Models for Facial Emotion Recognition | 2025-06-23 | 2025-06-23 | |
74 | 2506.18943v1 | From Pixels and Words to Waves_ A Unified Framework for Spectral Dictionary vLLMs | 2025-06-22 | 2025-06-22 | |
75 | 2506.17811v2 | RoboMonkey_ Scaling Test-Time Sampling and Verification for Vision-Language-Action Models | 2025-06-21 | 2025-07-07 | |
76 | 2506.17503v1 | Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction | 2025-06-20 | 2025-06-20 | |
77 | 2506.16652v1 | CodeDiffuser_ Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity | 2025-06-19 | 2025-06-19 | |
78 | 2506.15871v1 | Visual symbolic mechanisms_ Emergent symbol processing in vision language models | 2025-06-18 | 2025-06-18 | |
79 | 2506.14907v1 | PeRL_ Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning | 2025-06-17 | 2025-06-17 | |
80 | 2506.14035v1 | SimpleDoc_ Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement | 2025-06-16 | 2025-06-16 | |
81 | 2506.12849v1 | CAPO_ Reinforcing Consistent Reasoning in Medical Decision-Making | 2025-06-15 | 2025-06-15 | |
82 | 2506.12409v1 | Branch_ or Layer_ Zeroth-Order Optimization for Continual Learning of Vision-Language Models | 2025-06-14 | 2025-06-14 | |
83 | 2506.11976v2 | How Visual Representations Map to Language Feature Space in Multimodal LLMs | 2025-06-13 | 2025-06-22 | |
84 | 2506.11234v1 | Poutine_ Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving | 2025-06-12 | 2025-06-12 | |
85 | 2506.10202v1 | Q2E_ Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video Retrieval | 2025-06-11 | 2025-06-11 | |
86 | 2506.17267v1 | CF-VLM_CounterFactual Vision-Language Fine-tuning | 2025-06-10 | 2025-06-10 | |
87 | 2506.08227v1 | A Good CREPE needs more than just Sugar_ Investigating Biases in Compositional Vision-Language Benchmarks | 2025-06-09 | 2025-06-09 | |
88 | 2506.07214v1 | Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation | 2025-06-08 | 2025-06-08 | |
89 | 2506.06884v1 | FREE_ Fast and Robust Vision Language Models with Early Exits | 2025-06-07 | 2025-06-07 | |
90 | 2506.06506v1 | Biases Propagate in Encoder-based Vision-Language Models_ A Systematic Analysis From Intrinsic Measures to Zero-shot Retrieval Outcomes | 2025-06-06 | 2025-06-06 | |
91 | 2506.05523v1 | MORSE-500_ A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning | 2025-06-05 | 2025-06-05 | |
92 | 2506.04308v1 | RoboRefer_ Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics | 2025-06-04 | 2025-06-04 | |
93 | 2506.03371v1 | Toward Reliable VLM_ A Fine-Grained Benchmark and Framework for Exposure_ Bias_ and Inference in Korean Street Views | 2025-06-03 | 2025-06-03 | |
94 | 2506.01955v1 | Dual-Process Image Generation | 2025-06-02 | 2025-06-02 | |
95 | 2506.01203v1 | Self-Supervised Multi-View Representation Learning using Vision-Language Model for 3D_4D Facial Expression Recognition | 2025-06-01 | 2025-06-01 | |
96 | 2506.00613v1 | Evaluating Robot Policies in a World Model | 2025-05-31 | 2025-05-31 | |
97 | 2506.00238v1 | ZeShot-VQA_ Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment | 2025-05-30 | 2025-05-30 | |
98 | 2505.23977v1 | VisualSphinx_ Large-Scale Synthetic Vision Logic Puzzles for RL | 2025-05-29 | 2025-05-29 | |
99 | 2505.22946v1 | NegVQA_ Can Vision Language Models Understand Negation_ | 2025-05-28 | 2025-05-28 |
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