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

Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory

Beginner

Zhenting Wang, Huancheng Chen et al.Mar 4arXiv

This paper teaches long-horizon AI agents to remember everything exactly without stuffing their whole memory at once.

#indexed memory#LLM agents#long-horizon tasks

Not triaged yet

LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces

Beginner

Yukang Feng, Jianwen Sun et al.Feb 15arXiv

LongCLI-Bench is a new test that checks how well AI coding agents can handle long, realistic software projects in the command line, not just tiny coding puzzles.

#LongCLI-Bench#agentic programming#command-line interface agents

Not triaged yet

AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration

Beginner

Jianhao Ruan, Zhihao Xu et al.Feb 3arXiv

AOrchestra is like a smart conductor that builds the right mini-helpers (sub-agents) on demand to solve big, multi-step tasks.

#agent orchestration#sub-agent-as-tools#four-tuple abstraction

Not triaged yet

Papers3

Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory

LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces

AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration