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Research2026-07-11 · source-backed
Tsinghua's CompactionRL folds summarization into RL rollout collection so the agent learns what to keep when it compresses, optimizing summary and task under one reward. Under fixed 64k–80k windows it adds +5.5 to +7.0 on SWE-bench Verified and +3 to +6.8 on Terminal-Bench versus heuristic compaction. If you run long-horizon coding agents, stop treating "summarize the last N turns" as a fixed prompt. The compression step is a tunable component, and the gap between trained and heuristic is bigger than most model upgrades.
Each link below shares sources, entities, or timing with this story.
Shared entities / Shared topic / Earlier coverage
Both cover Bench, SWE, Terminal, Verified; overlapping topics (agent, coding, swe-bench); earlier Bench coverage from 2026-06-08.
Both cover Bench, SWE, Terminal, Verified; overlapping topics (agent, coding, swe-bench); earlier Bench coverage from 2026-04-29.
Both cover Bench, SWE, Terminal, Verified; overlapping topics (agent, coding, swe-bench); earlier Bench coverage from 2026-04-12.
Shared entities / Same source domain / Shared topic / What happened next
Both cover Bench, SWE, Verified; reported by the same outlet (arxiv.org); overlapping topics (agent, coding, swe-bench).
Shared entities / Shared topic / Earlier coverage
Both cover Bench, SWE, Terminal, Verified; overlapping topics (coding, swe-bench); earlier Bench coverage from 2026-06-14.
Both cover Bench, SWE, Terminal, Verified; overlapping topics (coding, context); earlier Bench coverage from 2026-03-04.
Shared entities / Shared topic / Earlier coverage / Tension
Both cover Bench, SWE, Terminal; overlapping topics (agent, coding, swe-bench); earlier Bench coverage from 2026-04-21.
Both cover Bench, SWE, Terminal; overlapping topics (agent, coding); earlier Bench coverage from 2026-06-10.