AutoCompact: Learning When to Compact Context in Long-Horizon Coding Agents

arXiv:2610.02163 · cs.CL · Submitted 2026-10-01 · Read on arXiv

cs.CL

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

Benchmark — 7× in this paper · explained in 2 episodes
Reinforcement Learning — 6× in this paper · explained in 4 episodes
Fine-Tuning — 4× in this paper · explained in 5 episodes
Consistency — 3× in this paper · explained in 3 episodes
GRPO — 3× in this paper · explained in 6 episodes
Self-consistency — 3× in this paper · explained in 2 episodes
Generative AI — 2× in this paper · explained in 2 episodes
Reward Shaping — 2× in this paper · explained in 2 episodes
Verification — 2× in this paper · explained in 2 episodes
Abstraction — 1× in this paper · explained in 1 episode
Failure Modes — 1× in this paper · explained in 3 episodes
Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
Resource Constraints — 1× in this paper · explained in 3 episodes
Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
Verifier — 1× in this paper · explained in 2 episodes