arXiv
Verdict: NotableWeVisOne-VL: Unified Visual Perception from Objects to Pixels
Existing vision-language models (VLMs) remain unreliable for fine-grained visual perception.
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Artificial Intelligence
Models, methods, and the machinery of intelligence.
Edition No. 29
Updated UTC
Top stories
1. Different Tasks, Different Timesteps: Temporal Task-Aware Quantization for Diffusion Language Models
Diffusion Language Models (DLMs) introduce unique quantization challenges due to their iterative denoising process.
Verdict: Notable█████░░░░░4.62. AgentVQA: A Unified Benchmark for Agentic Visual Understanding
Vision-language models (VLMs) can perform a broad range of tasks across diverse settings, yet their performance in agentic contexts remains poorly understood.
Verdict: Notable█████░░░░░4.6
More top stories
- arXivby Liu, Ouyang, Lan +2
AnyGameRenderer: Entity-Consistent Generative Rendering Across Games and an Entity-Level Benchmark
AI coding agents can now build small playable games in minutes, but the results usually look like programmer art: gray blockouts, colored geometric primitives, and flat semantic blobs.
No.03Verdict: NotableScore█████░░░░░4.5 - arXivby Zhang, Lin, Hou +2
F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
This paper studies category-level RGB-D object pose estimation, which recovers an object's 3D rotation and translation without instance-specific CAD models or reference views.
No.04Verdict: NotableScore████░░░░░░4.3 - arXivby Dawoud, Khan
Efficient Zero-Shot Video Anomaly Detection via Signal-Aware Adaptive Fusion (SAAF)
Deploying Vision-Language Models for video anomaly detection confronts a fundamental constraint.
No.05Verdict: NotableScore████░░░░░░3.8 - arXivby Varshney, Yadav
TriageRAG: Failure-Aware Self-Training for Adapting Retrieval-Augmented Language Models to Specialized Domains
Retrieval-augmented generation (RAG) lets large language models (LLMs) answer knowledge-intensive questions from retrieved evidence, but adapting a general-purpose RAG system to a ....
No.06Verdict: NotableScore████░░░░░░3.8 - arXivby Roitman
The Hitchhiker's Guide to System 1 Models: Fast Decision-Making Beyond LLMS
Large Language Models excel at reasoning and generation but their autoregressive, token-by-token inference makes them unnecessarily slow, expensive, and poorly calibrated for the many ....
No.07Verdict: NotableScore████░░░░░░3.8 - arXivby Dawoud, Zaheer, Muhammad +1
MoG-VLM: Efficient Video Anomaly Detection through Motion-Guided Vision-Language Models
Vision-Language Models (VLMs) have shown strong potential for video anomaly detection, but dense frame-level inference makes them impractical for real-time deployment.
No.08Verdict: NotableScore████░░░░░░3.8
Briefs
- arXiv
Meta-CLIP: Metadata-Conditioned Contrastive Learning for Zero-Shot Disease Inference
████░░░░░░3.8 - arXiv
Parameter-Efficient Adaptation of Large Language Models to a Low-Resource Agglutinative Language: A Corpus, Datasets, and a Reproducible Benchmark for the Bashkir Language
████░░░░░░3.7 - arXiv
Geodesic-SVDD Latent Mixup for One-Shot Distributed Tabular Learning
████░░░░░░3.7 - arXiv
ProMo3D: Probing Motion Cues in Frozen 3D Foundation Models
████░░░░░░3.7 - arXiv
Solvent: Long-Horizon Reasoning for Multi-Step Retrosynthesis
████░░░░░░3.6 - arXiv
Scalable Unrolled Chains for MRI Reconstruction
████░░░░░░3.6 - arXiv
Secure and Functional Code Generation with Self-Evaluation
████░░░░░░3.6 - arXiv
OS-Wizard: Scaling Computer-Using Agents to Specialized Software via Knowledge-Guided Exploration
████░░░░░░3.6 - arXiv
Multimodal Generative AI Assists Comprehensive Echocardiographic Interpretation
████░░░░░░3.6 - arXiv
MarineLife-16K: An Attribute-Rich Video-Text Dataset for Motion-Aware Marine Video Understanding
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