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How I Study AI - Learn AI Papers & Lectures the Easy Way

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All SourcesarXiv
#context management

Agent-Omit: Training Efficient LLM Agents for Adaptive Thought and Observation Omission via Agentic Reinforcement Learning

Intermediate
Yansong Ning, Jun Fang et al.Feb 4arXiv

Agent-Omit teaches AI agents to skip unneeded thinking and old observations, cutting tokens while keeping accuracy high.

#LLM agents#reinforcement learning#agentic RL

PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution

Intermediate
Minghao Yan, Bo Peng et al.Jan 15arXiv

PACEvolve is a new recipe that helps AI agents improve their ideas step by step over long periods without getting stuck.

#evolutionary search#LLM agents#context management

Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering

Intermediate
Xinyu Zhu, Yuzhu Cai et al.Jan 15arXiv

This paper builds an AI agent, ML-Master 2.0, that can work on machine learning projects for a very long time without forgetting what matters.

#Hierarchical Cognitive Caching#cognitive accumulation#ultra-long-horizon autonomy