Papers

Filtered to relevance-aware search · clear filter

Browse by term

continual learning 64reinforcement learning 34large language models 17benchmarking 12vision-language models 10generative models 8language models 8video generation 7multimodal models 6natural language processing 6robotics 6world models 6benchmarks 5diffusion models 5on-policy distillation 5policy optimization 5scalability 5self-distillation 5vision-language-action models 5autoregressive models 4computer vision 4diffusion transformers 4LLMs 4multimodal large language models 4verifiable rewards 4attention mechanisms 3embodied intelligence 3image editing 3long-term memory 3multimodal learning 3

Matching papers

A New Role for Relevance: Guiding Corpus Interaction in Agentic Search

87 upvotes · 27 JUL 2026 · Jiangnan Li, Yuqing Li, Mo Yu et al.

This paper develops a new approach to guiding corpus interaction in agentic search, which uses relevance to improve the accuracy and efficiency of search agents in complex question answering and reasoning tasks. Practitioners may care about this research if they want to build more effective search systems that can quickly and reliably retrieve relevant information.