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Summary
Submission paths (new tasks):
task-submissions/haoran/1-x-1Category / Implementation or Optimization / CPU or GPU: Category 1 / Implementation / CPU
Authors and coauthors: Haoran Jin
Add a conversational-memory question-answering task over 67 ICSI meetings. The agent receives the complete transcripts and 30 public question–answer examples, then builds a compact memory, an offline retriever, and an answerer. Evaluation uses 118 disjoint questions about the same history.
The submission provides two executable scripts. Retrieval runs offline and returns at most ten memory records. Answering receives only the question and those records and may call the configured generation API. The original transcripts are unavailable to both programs during evaluation.
The verifier checks trajectory compliance, retrieved-evidence relevance, and answer correctness. A question earns a point only when both evidence and answer checks pass. The primary metric is EvidenceGroundedAnswerAccuracy, with evidence-hit rate and answer accuracy reported separately.
Validation evidence
Validated against upstream
f02b98f.Commands:
Task-specific tests cover valid and invalid outputs, compliance-gate handling, stage isolation, joint scoring, and evidence provenance. A disposable-container smoke test also exercised the actual script interfaces, filesystem restrictions, and API transport with local model test doubles.
An official Quick Start run used Pi 0.85.1 +
deepseek/deepseek-flash, withthinking=xhigh. Both images built, and Harbor completed one trial with no execution errors.After clarifying the compliance judge’s yes/no score semantics, a separate audit of the same submission and complete trajectory passed. The finalizer produced reward 0.2033898305, reusing the original evidence and answer judgments.
Checks not completed:
Contributor checklist
task.toml; commit email associated with my GitHub account.Maintainer merge checklist (new tasks)
git mvand reviewed finalization commits per task, in this PR.assets.json.task.tomlremains.