Papers

Filtered to autonomous context-update tool · clear filter

Browse by term

continual learning 86reinforcement learning 48benchmarking 13large language models 12benchmarks 11vision-language models 10language models 9robotics 7world models 7natural language processing 6recursive self-improvement 6generative models 5on-policy distillation 5video generation 5attention mechanisms 4coding agents 4LLMs 4multi-agent systems 4multimodal learning 4multimodal models 4self-distillation 4self-supervised learning 4transformers 4vision-language-action models 4world modeling 4agent-based systems 3agentic models 3agentic search 3agents 3autonomous systems 3

Matching papers

AREX: Towards a Recursively Self-Improving Agent for Deep Research

142 upvotes · 23 JUL 2026 · Shuqi Lu, Chaofan Li, Kun Luo et al.

This paper introduces AREX, a self-improving agent that recursively refines its answers by verifying intermediate results and using the partially verified state to guide subsequent refinement, aiming to improve the efficiency of deep research. Practitioners might care about AREX's approach to reducing the cost of discovery and verification in complex research tasks.

Recursively Self-Improving (RSI) agentsdeep researchautonomous context-update toolmixture-of-experts modelsreinforcement learningbenchmarking