Good Papers

Showing papers from AWS AI Labs Show all papers

88%Must read
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MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation

MURPHY extends GRPO to multi-turn code generation via feedback-conditioned rollout trees with retrospective credit assignment, achieving up to 6% absolute pass@1 gains over prior methods.

Chanakya Ekbote, Vijay Lingam, Sujay Sanghavi, Luke Huan and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
80%Must read
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CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents

CORVUS decouples file reads from observations via synchronized registries, cutting input tokens by 9-50% and reasoning cycles by up to 37% while preserving pass rates.

Mingwei Zheng, David OBrien, Siwei Cui, Pardis Pashakhanloo and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5