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AdditiveLLM2: A Multi-modal Large Language Model for Additive Manufacturing
score 5
入选 HF Daily Papers; HF 热度: 2 upvotes (+1); 关键词(2): instruction tuning, pretraining
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Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models
score 4
关键词(1): vision-language; 顶会接收: CVPR
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Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection
score 4
关键词(1): vision-language; 顶会接收: CVPR
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PEARL: Geometry Aligns Semantics for Training-Free Open-Vocabulary Semantic Segmentation
score 4
关键词(1): latency; 顶会接收: CVPR
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Stabilizing Iterative Self-Training with Verified Reasoning via Symbolic Recursive Self-Alignment
score 4
关键词(2): DPO, reasoning; 顶会接收: ICLR
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OmniFM: Toward Modality-Robust and Task-Agnostic Federated Learning for Heterogeneous Medical Imaging
score 4
关键词(2): deployment, fine-tuning; 顶会接收: CVPR
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Let's Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
score 4
关键词(1): reasoning; 顶会接收: AAAI
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The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation
score 4
关键词(2): scaling, lightweight; 顶会接收: CVPR
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Unified Spatiotemporal Token Compression for Video-LLMs at Ultra-Low Retention
score 4
关键词(2): compression, latency; 顶会接收: CVPR
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GeoFusion-CAD: Structure-Aware Diffusion with Geometric State Space for Parametric 3D Design
score 4
关键词(3): lightweight, state space, mamba; 顶会接收: CVPR
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Tuning Real-World Image Restoration at Inference: A Test-Time Scaling Paradigm for Flow Matching Models
score 4
机构: Zhejiang University; 关键词(2): scaling, text-to-image
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FreeArtGS: Articulated Gaussian Splatting Under Free-moving Scenario
score 4
关键词(1): robotics; 顶会接收: CVPR
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PAM: A Pose-Appearance-Motion Engine for Sim-to-Real HOI Video Generation
score 4
关键词(3): deployment, embodied, synthetic data; 顶会接收: CVPR
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Drop-In Perceptual Optimization for 3D Gaussian Splatting
score 4
机构: Apple; 关键词(1): compression
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TiCo: Time-Controllable Training for Spoken Dialogue Models
score 4
机构: MIT; 关键词(2): post-training, open-source