A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Charith Perera, Arkady Zaslavsky, Peter Christen, et al.
Surveys context-aware computing for IoT, analyzing 50 projects (2001-2011) via a taxonomy to derive lessons and future research directions.
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This paper introduces ContextAgent, a proactive LLM agent that leverages open-world sensory perceptions to initiate tasks without explicit user instructions.
Ruoyu Qin, Weiran He, Weixiao Huang, et al.
Seer is a context-learning RL system that reduces long-tail latency by 72-94% and improves rollout throughput by 2.04x through divided rollout, context-aware scheduling, and adaptive grouped speculative decoding.
Yubin Hong, Chaofan Li, Jingyi Zhang, et al.
FG-RAG introduces a context-aware fine-grained graph retrieval-augmented generation framework to improve query-focused summarization.