Does an Agent's History Tell You When Compaction Will Hurt? A Modest, Bounded Effect on the TRACE Paired-Replay Corpus
On TRACE's 590 AppWorld boundaries, recent agent history only weakly predicts harmful context compaction.
Stories per day · 30 days
6 stories, newest first · one card per story
Stories tagged #appworld
DAEDALUS: Bootstrapping Agent Memory from Self-Generated Tasks
DAEDALUS bootstraps reusable agent memory from self-generated practice, lifting success by up to 15.9 points.
ASCENT: Online Test-Time Training of Long-Horizon Agents via Self-Distillation of Verified Experience
ASCENT updates deployed LLM agents by self-distilling verified trajectories into LoRA weights at test time.
RefCon: Iterative Refinement and Contrastive Memory Extraction for Context-Evolving Agent
RefCon extracts agent memories via self-refinement and contrast, beating unlabeled baselines on AppWorld and BFCL-V3.
ControlScope: Workflow Revision and Reliability in LLM Agents
ControlScope finds only small, mixed gains from revising more of a running LLM-agent workflow.
Mara Chain: Rethinking Failure as a Stepping Stone for AI System Auto-Evolution
Mara Chain refines rejected AI candidates, beating GEPA on AppWorld with 65.5% fewer rollouts.