Papers

Filtered to context encoders · clear filter

Browse by term

continual learning 83reinforcement learning 50large language models 12benchmarking 11benchmarks 11language models 11vision-language models 11robotics 7natural language processing 6world models 6generative models 5recursive self-improvement 5attention mechanisms 4diffusion Transformers 4multi-agent systems 4multimodal learning 4multimodal models 4on-policy distillation 4self-distillation 4self-supervised learning 4transformers 4video generation 4vision-language-action models 4agent-based systems 3agentic models 3agentic search 3autonomous systems 3coding agents 3diffusion models 3image generation 3

Matching papers

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers

99 upvotes · 7 AUG 2026 · Tao Feng, Fangxu Yu, Haozhen Zhang et al.

This paper introduces a unified framework for developing, evaluating, and deploying large language models (LLMs) as routers to optimize deployment for different queries and budget constraints. Practitioners might care because it provides a way to compare and extend existing LLM routing approaches, leading to more cost-effective deployment of LLMs.

LLM routingsequential decision processcontext encodersmodel encodersscoring functionsdecision rules