Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation
- 类型:arxiv
- 标识:2608.13391
- 链接:https://arxiv.org/abs/2608.13391
- 主分类:multimodal
- 形态:method
- 被引:4
- 被引来源:Semantic Scholar
- S2被引:4
- OpenAlex被引:0
- 影响力被引:1
- TLDR:Context-Matched Distillation (CMD) is introduced, a causal DMD framework that aligns teacher supervision with the information available when each target is generated, and naturally extends to frame-wise and chunk-wise generation, long video distillation, and camera-conditioned distillation.
- OpenAlex ID:W7203466112
- OpenAlex DOI:10.48550/arxiv.2608.13391
- DOI:10.48550/arxiv.2608.13391
- DOI来源:OpenAlex
- 开放获取:green
- 开放获取链接:https://arxiv.org/pdf/2608.13391
- OpenAlex更新:2026-08-27
- 待LLM分类:否
- 标题中文:上下文匹配蒸馏:用于自回归视频蒸馏的教师因果性
- TLDR中文:提出 Context-Matched Distillation(CMD),一种因果 DMD 框架,将 teacher 监督信号与每个 target 生成时可用信息对齐,并可自然扩展到逐帧和逐 chunk 生成、长视频蒸馏以及相机条件蒸馏。
- 来源文件:
- /inbox/tom/_candidates/2026-08-15-agent-rag-longcontext-candidates.json
- /inbox/tom/_candidates/2026-08-16-agent-rag-longcontext-candidates.json
- /inbox/tom/_candidates/2026-08-17-agent-rag-longcontext-candidates.json
- /inbox/tom/_candidates/2026-08-17-agent-memory-tool-use-candidates.json
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