| 1 |
MCD: Causal Distillation of Multimodal In-Context Learning in Large Vision-Language Models |
提出多模态因果蒸馏方法以提升视觉语言模型的学习能力 |
distillation multimodal |
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| 2 |
Is Better Teacher Supervision Enough? Unlocking Student-side Learning in Multimodal On-Policy Distillation |
提出S-OPD以解决多模态蒸馏中的学生感知瓶颈问题 |
distillation multimodal |
✅ |
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| 3 |
From Image Interpretation to Clinical Reasoning: Upstream Physician-Context-Aware Multimodal Learning with Causal Reinforcement Learning |
提出因果强化学习框架以提升心血管事件预测能力 |
reinforcement learning multimodal |
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| 4 |
Learning to Reason with Compressed Context: Ground-Truth-Free Adaptation of OmniLLMs via Self-Distillation |
提出CAFD框架以解决OmniLLMs压缩上下文推理问题 |
distillation privileged information large language model |
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| 5 |
Asking the World: Generalist Physical Reasoning through Agentic World Modeling and Probing |
提出ATW以解决复杂物理推理问题 |
world model world models generalist agent |
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| 6 |
Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces |
提出Multimodal Flow以解决多模态建模的量化瓶颈问题 |
flow matching multimodal |
✅ |
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| 7 |
LOCI: Spatial Linear Memory for Streaming World Models |
提出LOCI以解决视频世界模型中的记忆与检索问题 |
world model world models linear attention |
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| 8 |
MemLife: Curating and Reasoning over Long-Term Egocentric Video Memories |
提出MemLife以解决长时间自我中心视频记忆的处理问题 |
reinforcement learning egocentric multimodal |
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| 9 |
OP-CAD: On-Policy Clean-Audio Distillation for Robust Audio-Visual Reasoning |
提出OP-CAD以解决环境噪声下的音频-视觉理解问题 |
distillation large language model multimodal |
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| 10 |
VR-JEPA: Learning Contrastive-State Latent Guidance for Generation-based Video Reasoning |
提出VR-JEPA以解决视频生成中的推理一致性问题 |
JEPA Joint-Embedding Predictive Architecture joint-embedding predictive architecture |
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| 11 |
Physis-Lang: Self-Evolving Language as a Physical Representation for Video World Model |
提出Physis-Lang以解决视频世界模型的物理一致性问题 |
world model world models |
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| 12 |
From Given to Gathered Evidence: Agentic Learning for Longitudinal Medical Reasoning |
提出CASE框架以提升医学推理中的证据获取能力 |
reinforcement learning distillation foundation model |
✅ |
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| 13 |
MEND: Label-Free Detection, Localisation, and Correction of Latent Hallucination in World Models |
提出MEND以解决世界模型中的潜在幻觉检测与修正问题 |
world model world models |
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| 14 |
Agentic Tool-Augmented Reasoning for Explainable Image Forgery Detection |
提出Agentic Tool-Augmented Reasoning以解决图像伪造检测问题 |
curriculum learning teacher-student large language model |
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| 15 |
Frame Differential On-Policy Self-Distillation for Video Reasoning |
提出帧差异在线自蒸馏方法以提升视频推理能力 |
reinforcement learning distillation multimodal |
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| 16 |
Emergent Multi-View Geometry Through Self-Distillation |
提出Poincar3以解决多视角几何学习问题 |
representation learning distillation 3D reconstruction |
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| 17 |
Enhancing Autoregressive Video Generation via Representation Adversarial Distillation |
提出Radian框架以解决自回归视频生成中的质量衰退问题 |
distillation foundation model |
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| 18 |
Diffusable Latents from Structure-Agnostic Distillation |
提出无结构蒸馏方法以提升潜在扩散模型性能 |
distillation foundation model |
✅ |
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| 19 |
Uncertainty-Aware Consistency Distillation for Few-Step Video Generation |
提出不确定性感知一致性蒸馏以解决少步视频生成问题 |
distillation spatiotemporal |
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| 20 |
ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents |
提出ComputerSD以解决计算机使用代理的在线自蒸馏问题 |
policy learning distillation |
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| 21 |
Image Classifiers are Efficient Self-Supervised Video Representation Learners |
提出VideoMSN以解决视频自监督表示学习效率低的问题 |
representation learning foundation model |
✅ |
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| 22 |
EviRover: Reinforcing Agentic Perception Beyond a Glance |
提出EviRover以解决视觉感知不足证据问题 |
reinforcement learning multimodal |
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| 23 |
Less Data, Better Timing: Student-Curriculum Coupling for VLM On-Policy Distillation in Temporal Video Grounding |
提出学生-课程耦合方法以提升视频时序定位效果 |
distillation |
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| 24 |
Grounding with Confidence: Controllable Generative Video Temporal Grounding |
提出可控生成视频时间定位方法以提升事件检索精度 |
reinforcement learning TAMP |
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| 25 |
From Wrecks to Wisdom: Recovering Crash Mechanics from Real-World Multi-View Photos |
提出从多视角照片恢复碰撞力学以解决事故分析问题 |
MAE multimodal |
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| 26 |
Rethinking Multi-Image Re-Representation in Multi-Image Understanding |
提出Mosaic以解决多图像理解中的视觉证据组织问题 |
reinforcement learning chain-of-thought |
✅ |
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| 27 |
Distill the Visual Evidence, Not Just the Answer: Cross-World On-Policy Distillation for Vision-Language Models |
提出CW-OPD以解决视觉证据依赖不足的问题 |
distillation |
✅ |
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| 28 |
I Have a Stream: Making Self-Supervised Learning Work on Continuous Video |
提出StreamMAE以解决连续视频自监督学习中的高相似性问题 |
MAE distillation |
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| 29 |
FrameMorrow: Future-guided Frame Selection with Prospective Tokens for Long-Horizon Video Generation |
提出FrameMorrow以解决长视频生成中的历史信息选择问题 |
world model world models |
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