VLMs are increasingly positioned as daily assistants that perceive first-person environments, follow user dialogue, and decide how to help. Existing egocentric benchmarks mainly evaluate visual understanding in isolation, leaving open whether models can arbitrate between visual evidence and user-provided language when...
A two-stage framework that derives lightweight scope guidance before aspect refinement and summarization, improving focus and reducing over-generation is introduced, establishing a crucial insight for the deployment of LLMs in similar real-world applications.
Yong-En Tian, Yu-Chien Tang, An-Zi Yen et al.· arXiv.org· 0 citations
VDAR-Router is proposed, a difficulty-aware retrieval-based routing framework for training-free LLM routing that consistently achieves better cost-performance trade-offs than existing baselines and helps retrieve more relevant examples and supports more reliable routing decisions.