{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/Approximately-Aligned-Decoding","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/873baac9-4338-4a7d-90b7-bc443ffa7ef8","json_url":"https://onlylabs.fyi/signals/873baac9-4338-4a7d-90b7-bc443ffa7ef8/signal.json","generated_at":"2026-06-11T03:58:43.316236+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/873baac9-4338-4a7d-90b7-bc443ffa7ef8","signal_json":"https://onlylabs.fyi/signals/873baac9-4338-4a7d-90b7-bc443ffa7ef8/signal.json","source":"https://github.com/amazon-science/Approximately-Aligned-Decoding","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/Approximately-Aligned-Decoding (TypeScript). 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Pull requests are not being accepted in order to maintain the code exactly as it was used in the paper, but interested parties are encouraged to open an issue requesting open source community development. Overview This repository contains code to perform approximately aligned decoding, using an efficient technique to resample after an undesired output is detected. We refer to undesired outputs as errors, but this could be anything that is detectable automatically (grammar, hallucinations, disallowed letters in lipograms, etc). 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Pull requests are not being accepted in order to maintain the code exactly as it was used in the paper, but interested parties are encouraged to open an issue requesting open source community development. Overview This repository contains code to perform approximately aligned decoding, using an efficient technique to resample after an undesired output is detected. We refer to undesired outputs as errors, but this could be anything that is detectable automatically (grammar, hallucinations, disallowed letters in lipograms, etc). 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