{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/multilingual-faithfulness","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/73a80117-6472-4ae5-9b7a-eecc967a3540","json_url":"https://onlylabs.fyi/signals/73a80117-6472-4ae5-9b7a-eecc967a3540/signal.json","generated_at":"2026-06-11T02:53:20.627458+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/73a80117-6472-4ae5-9b7a-eecc967a3540","signal_json":"https://onlylabs.fyi/signals/73a80117-6472-4ae5-9b7a-eecc967a3540/signal.json","source":"https://github.com/amazon-science/multilingual-faithfulness","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/multilingual-faithfulness (Python). 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Overview This repository provides tools to: - Generate faithful and unfaithful summaries from multilingual datasets (WikiLingua) - Generate labeled training data for faithfulness judges using LLM-as-a-judge Installation Scripts run inside the official vLLM Docker container, which bundles compatible versions of vLLM, PyTorch, and Transformers. ```bash docker pull vllm/vllm-openai:latest ``` Additional Python dependencies (installed inside the container): ```bash pip install hydra-core omegaconf datasets ``` Project Structure ``` multilingual-faithfulness/ ├── conf/ # Hydra configuration files │ ├── config.yaml # Main configuration │ └── task/ # Task-specific configs │ ├── gen_data.yaml # Training data generation │ └── gen_summs.yaml # Summary generation ├── data/ # Benchmark datasets (CSV) │ ├── llm_aggrefact.csv │ ├── mface.csv │ └──..."},"evidence_pages":[{"url":"https://github.com/amazon-science/multilingual-faithfulness","final_url":"https://github.com/amazon-science/multilingual-faithfulness","title":"amazon-science/multilingual-faithfulness repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T02:53:20.627458+00:00","bytes":18960,"raw_path":"60190ccbd5cbdb59ffa3e80da6719157e818fe0f0ba620f4a3a306fd2e69bf4c.json","content_hash":"db3b5fb309ff0e02054d47ae67f1376520f9a9c0daef8945cb76ca95214fd64c","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/multilingual-faithfulness Language: Python License: CC-BY-4.0 Stars: 0 Forks: 0 Open issues: 0 Created: 2026-01-22T15:45:01Z Pushed: 2026-03-20T20:43:49Z Default branch: main Fork: no Archived: no README: Multilingual Faithfulness A framework for generating synthetic multilingual data to train faithfulness judges for text summarization. Overview This repository provides tools to: - Generate faithful and unfaithful summaries from multilingual datasets (WikiLingua) - Generate labeled training data for faithfulness judges using LLM-as-a-judge Installation Scripts run inside the official vLLM Docker container, which bundles compatible versions of vLLM, PyTorch, and Transformers. ```bash docker pull vllm/vllm-openai:latest ``` Additional Python dependencies (installed inside the container): ```bash pip install hydra-core omegaconf datasets ``` Project Structure ``` multilingual-faithfulness/ ├── conf/ # Hydra configuration files │ ├── config.yaml # Main configuration │ └── task/ # Task-specific configs │ ├── gen_data.yaml # Training data generation │ └── gen_summs.yaml # Summary generation ├── data/ # Benchmark datasets (CSV) │ ├── llm_aggrefact.csv │ ├── mface.csv │ └──..."}],"related_signals":[{"id":"087c32a2-6ad0-4981-9315-11fdd32a0153","url":"https://onlylabs.fyi/signals/087c32a2-6ad0-4981-9315-11fdd32a0153","source_url":"https://github.com/amazon-science/reskill","title":"amazon-science/reskill","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-06-04T02:13:35+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e5701aed-6cd3-48dd-bfa6-ef839031e2e8","url":"https://onlylabs.fyi/signals/e5701aed-6cd3-48dd-bfa6-ef839031e2e8","source_url":"https://github.com/amazon-science/dualkv-flash-attn-for-rl","title":"amazon-science/dualkv-flash-attn-for-rl","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-27T17:38:58+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"8af28f0c-7331-4b08-b517-e18b3555e503","url":"https://onlylabs.fyi/signals/8af28f0c-7331-4b08-b517-e18b3555e503","source_url":"https://github.com/amazon-science/EvoMAS","title":"amazon-science/EvoMAS","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-19T19:23:29+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e3ff8718-7daa-4ebd-a3e6-3d825c538b74","url":"https://onlylabs.fyi/signals/e3ff8718-7daa-4ebd-a3e6-3d825c538b74","source_url":"https://github.com/amazon-science/adaptive-layerwise-perturbation","title":"amazon-science/adaptive-layerwise-perturbation","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-14T17:44:17+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"9afcd328-0124-485c-8ace-9c3ad546e316","url":"https://onlylabs.fyi/signals/9afcd328-0124-485c-8ace-9c3ad546e316","source_url":"https://github.com/amazon-science/temporal-reasoning-dataset","title":"amazon-science/temporal-reasoning-dataset","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-13T13:07:08+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"},{"id":"e19ce80b-3d6a-4aaf-9b1a-82d1b19ab682","url":"https://onlylabs.fyi/signals/e19ce80b-3d6a-4aaf-9b1a-82d1b19ab682","source_url":"https://github.com/amazon-science/PROF-GRPO","title":"amazon-science/PROF-GRPO","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-05-12T19:43:55+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source"}]}