{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/GIFT","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/81e2c736-9325-42da-8871-491924f46ec4","json_url":"https://onlylabs.fyi/signals/81e2c736-9325-42da-8871-491924f46ec4/signal.json","generated_at":"2026-06-11T03:58:42.252159+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/81e2c736-9325-42da-8871-491924f46ec4","signal_json":"https://onlylabs.fyi/signals/81e2c736-9325-42da-8871-491924f46ec4/signal.json","source":"https://github.com/amazon-science/GIFT","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/GIFT (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo amazon-science/GIFT · language Python · Low traction, routine new repo. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","signal_desk":"repos","source_context":{"source_url":"https://github.com/amazon-science/GIFT","source_host":"github.com","occurred_at":"2025-10-22T04:45:26+00:00","first_seen_at":"2026-06-05T20:58:37.464059+00:00","date_source":"source","context":"Python"},"context_markers":[{"label":"Lab","value":"Amazon (Nova)","source":"signal"},{"label":"Signal desk","value":"repos","source":"signal"},{"label":"Source host","value":"github.com","source":"source"},{"label":"Repository","value":"amazon-science/GIFT","source":"source"},{"label":"Language","value":"Python","source":"source"},{"label":"Stars","value":"2","source":"traction"},{"label":"Notability","value":"Low traction, routine new repo","source":"signal"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Safety 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early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","evidence_focus":["repo name","owner","description","language","stars","source URL","first seen time","data, eval, infra, safety, and product terms"],"extraction_questions":["What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Is the repo new evidence for a lab direction that is not yet in writing or releases?","Which related signals should an analyst inspect next?"],"signal_questions":["What does this new repository reveal before a formal announcement exists?","What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Do the 6 related repo signals show a repeated pattern?"],"output_fields":["org","repo","technical_theme","data_business_lane","evidence_url"],"data_business_relevance":"New repositories can expose 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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The implementation builds upon Transformers v4.50.0 by modifying attention computation in QwenVL2 and Llama architectures. Visual saliency maps are integrated into the attention mechanism to enhance cross-modal fusion. Abstract Vision language models (VLMs) often generate hallucination, i.e., content that cannot be substantiated by either textual or..."},"evidence_pages":[{"url":"https://github.com/amazon-science/GIFT","final_url":"https://github.com/amazon-science/GIFT","title":"amazon-science/GIFT repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:58:42.252159+00:00","bytes":18869,"raw_path":"b3204ae04e234e96d8e04b65b2588ebb458dc4d642223d232bd51e7664d24da5.json","content_hash":"0c3f92f91705d5d3345f9167c040fbf3f49e8eb74c297e6b81041ef785e5b80e","excerpt_chars":1200,"truncated":true,"excerpt":"amazon-science/GIFT Language: Python License: NOASSERTION Stars: 2 Forks: 0 Open issues: 2 Created: 2025-10-22T04:45:26Z Pushed: 2026-06-05T18:53:45Z Default branch: main Fork: no Archived: no README: Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination Mitigation [![arXiv](https://img.shields.io/badge/arXiv-2510.22067-b31b1b.svg)](https://arxiv.org/abs/2510.22067) [![Conference](https://img.shields.io/badge/ICML-2026-blue.svg)](https://icml.cc/) [![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC_BY--NC_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc/4.0/) **Published at ICML 2026.** This repository contains the implementation of the proposed method, GIFT (Gaze Shift-Guided Cross-modal Fusion Enhancement), that mitigates hallucinations in Vision-Language Models (VLMs). The implementation builds upon Transformers v4.50.0 by modifying attention computation in QwenVL2 and Llama architectures. Visual saliency maps are integrated into the attention mechanism to enhance cross-modal fusion. Abstract Vision language models (VLMs) often generate hallucination, i.e., content that cannot be substantiated by either textual or..."}],"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"}]}