arXiv (All)
open access
Video-MOPD: Multi-Teacher On-Policy Distillation for Video Understanding
Video understanding demands a convergence of complementary capabilities across perception, temporal understanding, and complex reasoning, which are difficult to jointly optimize within a single model. We introduce Video-MOPD-8B, an open-weight model dedicated to video understanding tasks. To fundame
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Modularized Dynamic-Granularity Video LLM for Multi-Event Long Video Understanding#381795
- MemDreamer: Decoupling Perception and Reasoning for Long Video Understanding via Hierarchical Graph Memory and Agentic Retrieval Mechanism#266202
- ChemOPD: Multi-Teacher On-Policy Distillation for Multi-Task Chemical Reasoning#1118911
- CoFiE: Coarse-to-Fine Evidence Selection for Efficient Streaming Video Understanding#926570
- Distill the Visual Evidence, Not Just the Answer: Cross-World On-Policy Distillation for Vision-Language Models#1143378
Record · ID 987062
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive