{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-08-31T15:40:19.115Z","headline":"单个污染页面即可影响LLM推荐：FORGE基准揭示检索增强推荐系统的脆弱性","description":"检索增强型LLM在消费推荐中易受GEO内容污染影响，成为虚假产品的无意推广者。新基准FORGE在225个真实产品、15个类别和5个消费场景中测试12个商业及开源LLM，发现所有模型均易受攻击：单个污染页面即可造成最高27%的受骗率，替换全部前3个结果时升至73.8%。","url":"https://www.aioga.com/news/cmt8bo2db30oaro735zu90tig/","mainEntityOfPage":"https://www.aioga.com/news/cmt8bo2db30oaro735zu90tig/","datePublished":"2026-08-24T00:00:00.000Z","dateModified":"2026-08-24T00:00:00.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://arxiv.org/abs/2606.13610","https://aihot.virxact.com/items/cmt8bo2db30oaro735zu90tig"],"canonicalUrl":"https://www.aioga.com/news/cmt8bo2db30oaro735zu90tig/","directAnswer":{"@type":"Answer","text":"HuggingFace Daily Papers收录的FORGE基准显示，检索增强型LLM用于消费推荐时可能受到GEO内容污染影响，并在推荐中无意推广虚假产品。测试覆盖225个真实产品、15个类别、5个消费场景及12个商业和开源LLM。","url":"https://www.aioga.com/news/cmt8bo2db30oaro735zu90tig/","dateCreated":"2026-08-24T00:00:00.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"arXiv source article","url":"https://arxiv.org/abs/2606.13610","datePublished":"2026-08-24T00:00:00.000Z","provider":{"@type":"Organization","name":"arXiv","url":"https://arxiv.org/abs/2606.13610"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmt8bo2db30oaro735zu90tig","datePublished":"2026-08-24T00:00:00.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmt8bo2db30oaro735zu90tig"}}],"aggregationSource":"HuggingFace Daily 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Daily Papers（社区热门论文）"],"translations":{"zh-CN":{"title":"单个污染页面即可影响LLM推荐：FORGE基准揭示检索增强推荐系统的脆弱性","summary":"检索增强型LLM在消费推荐中易受GEO内容污染影响，成为虚假产品的无意推广者。新基准FORGE在225个真实产品、15个类别和5个消费场景中测试12个商业及开源LLM，发现所有模型均易受攻击：单个污染页面即可造成最高27%的受骗率，替换全部前3个结果时升至73.8%。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmt8bo2db30oaro735zu90tig","category":"行业动态","source":"arXiv","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"单个污染页面即可影响LLM推荐：FORGE基准揭示检索增强推荐系统的脆弱性 - Aioga AI资讯","description":"检索增强型LLM在消费推荐中易受GEO内容污染影响，成为虚假产品的无意推广者。新基准FORGE在225个真实产品、15个类别和5个消费场景中测试12个商业及开源LLM，发现所有模型均易受攻击：单个污染页面即可造成最高27%的受骗率，替换全部前3个结果时升至73.8%。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/...","url":"https://www.aioga.com/news/cmt8bo2db30oaro735zu90tig/","articleBody":["单个污染页面即可影响LLM推荐：FORGE基准揭示检索增强推荐系统的脆弱性 这条更新来自 arxiv.org，发布时间为 2026-08-24，Aioga 保留原文入口以便核验。","摘要：检索增强型LLM在消费推荐中易受GEO内容污染影响，成为虚假产品的无意推广者。新基准FORGE在225个真实产品、15个类别和5个消费场景中测试12个商业及开源LLM，发现所有模型均易受攻击：单个污染页面即可造成最高27%的受骗率，替换全部前3个结果时升至73.8%。","背景：背景分析：公司与行业类动态需要放在竞争格局、商业化路径、资本信号和监管环境中观察，单条公告不能代表最终结果。","Aioga 观察：Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","影响与后续：影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。 后续观察：继续观察官方文件、合作落地、收入或用户信号、竞品动作和监管后续。"]},"en":{"title":"A single contaminated page can affect LLM recommendations: FORGE benchmark reveals the vulnerability of retrieval-augmented recommendation systems","summary":"Retrieval-augmented LLMs in consumer recommendation are susceptible to GEO content contamination, inadvertently promoting fake products. The new benchmark FORGE tested 12 commercial and open-source LLMs across 225 real products, 15 categories, and 5 consumer scenarios, finding that all models are vulnerable to attacks: a single contaminated page can cause a deception rate of up to 27%, which rises to 73.8% when the top three results are all replaced.","category":"Industry","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"A single contaminated page can affect LLM recommendations: FORGE benchmark reveals the vulnerability of retrieval-augmented recommendation systems - Aioga AI News","description":"Retrieval-augmented LLMs in consumer recommendation are susceptible to GEO content contamination, inadvertently promoting fake products. The new benchmark FORGE tested 12 commercia...","url":"https://www.aioga.com/en/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:22:16.369Z"},"ja":{"title":"単一の汚染ページだけでLLMの推薦に影響を与える：FORGEベンチマークが検索強化推薦システムの脆弱性を明らかにする","summary":"検索強化型LLMは消費者向け推薦でGEOコンテンツの汚染の影響を受けやすく、偽製品の無意識の推進者となる可能性がある。新しいベンチマークFORGEは225の実際の製品、15のカテゴリー、5つの消費シナリオで12の商用およびオープンソースLLMをテストし、すべてのモデルが攻撃に弱いことを発見した：単一の汚染ページで最大27％の騙され率が発生し、最初の3件の結果をすべて置き換えると73.8％に上昇する。","category":"業界動向","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"単一の汚染ページだけでLLMの推薦に影響を与える：FORGEベンチマークが検索強化推薦システムの脆弱性を明らかにする - Aioga AIニュース","description":"検索強化型LLMは消費者向け推薦でGEOコンテンツの汚染の影響を受けやすく、偽製品の無意識の推進者となる可能性がある。新しいベンチマークFORGEは225の実際の製品、15のカテゴリー、5つの消費シナリオで12の商用およびオープンソースLLMをテストし、すべてのモデルが攻撃に弱いことを発見した：単一の汚染ページで最大27％の騙され率が発生し、最初の3件の結果...","url":"https://www.aioga.com/ja/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:22:26.584Z"},"ko":{"title":"단일 오염 페이지만으로 LLM 추천에 영향: FORGE 벤치마크가 검색 강화 추천 시스템의 취약성을 드러냄","summary":"검색 강화형 LLM은 소비자 추천에서 GEO 콘텐츠 오염의 영향을 받기 쉬워, 가짜 제품의 의도치 않은 홍보자가 된다. 새로운 벤치마크 FORGE는 225개의 실제 제품, 15개의 카테고리 및 5개의 소비 시나리오에서 12개의 상업용 및 오픈소스 LLM을 테스트한 결과, 모든 모델이 공격에 취약함을 발견했다: 단일 오염 페이지만으로도 최대 27%의 속임률을 초래할 수 있으며, 상위 3개 결과를 모두 교체하면 73.8%까지 증가한다.","category":"업계 동향","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"단일 오염 페이지만으로 LLM 추천에 영향: FORGE 벤치마크가 검색 강화 추천 시스템의 취약성을 드러냄 - Aioga AI 뉴스","description":"검색 강화형 LLM은 소비자 추천에서 GEO 콘텐츠 오염의 영향을 받기 쉬워, 가짜 제품의 의도치 않은 홍보자가 된다. 새로운 벤치마크 FORGE는 225개의 실제 제품, 15개의 카테고리 및 5개의 소비 시나리오에서 12개의 상업용 및 오픈소스 LLM을 테스트한 결과, 모든 모델이 공격에 취약함을 발견했다: 단일 오염...","url":"https://www.aioga.com/ko/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:23:29.331Z"},"es":{"title":"Una sola página contaminada puede afectar la recomendación de LLM: el estándar FORGE revela la vulnerabilidad de los sistemas de recomendación mejorados con recuperación","summary":"Los LLM potenciados con recuperación de información en recomendaciones de consumo son susceptibles a la contaminación de contenido GEO, convirtiéndose en promotores involuntarios de productos falsos. El nuevo benchmark FORGE probó 12 LLM comerciales y de código abierto en 225 productos reales, 15 categorías y 5 escenarios de consumo, y descubrió que todos los modelos son vulnerables a ataques: una sola página contaminada puede causar una tasa de engaño de hasta el 27%, y al reemplazar los 3 primeros resultados, esta asciende al 73,8%.","category":"Industria","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Una sola página contaminada puede afectar la recomendación de LLM: el estándar FORGE revela la vulnerabilidad de los sistemas de recomendación mejorados con recuperación - Aioga Noticias de IA","description":"Los LLM potenciados con recuperación de información en recomendaciones de consumo son susceptibles a la contaminación de contenido GEO, convirtiéndose en promotores involuntarios d...","url":"https://www.aioga.com/es/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:23:22.883Z"},"fr":{"title":"Une seule page polluée peut affecter les recommandations des LLM : la référence FORGE révèle la vulnérabilité des systèmes de recommandation enrichis par la recherche","summary":"Les LLM augmentés par la recherche sont facilement affectés par la contamination du contenu GEO dans les recommandations aux consommateurs, devenant des promoteurs involontaires de produits faux. Le nouveau benchmark FORGE a testé 12 LLM commerciaux et open source sur 225 produits réels, 15 catégories et 5 scénarios de consommation, et a constaté que tous les modèles étaient vulnérables aux attaques : une seule page contaminée peut entraîner un taux de tromperie allant jusqu'à 27 %, tandis que le remplacement des trois premiers résultats fait grimper ce taux à 73,8 %.","category":"Industrie","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Une seule page polluée peut affecter les recommandations des LLM : la référence FORGE révèle la vulnérabilité des systèmes de recommandation enrichis par la recherche - Aioga Actualités IA","description":"Les LLM augmentés par la recherche sont facilement affectés par la contamination du contenu GEO dans les recommandations aux consommateurs, devenant des promoteurs involontaires de...","url":"https://www.aioga.com/fr/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:24:27.097Z"},"de":{"title":"Ein einzelner verschmutzter Seite kann LLM-Empfehlungen beeinflussen: FORGE-Benchmark enthüllt die Verwundbarkeit von abfrageverstärkten Empfehlungssystemen","summary":"LLMs mit retrieval-gestärktem Ansatz sind in Verbraucherempfehlungen leicht von GEO-Inhaltsverschmutzung betroffen und werden unbeabsichtigt zu Förderern falscher Produkte. Der neue Benchmark FORGE testete 12 kommerzielle und Open-Source-LLMs anhand von 225 echten Produkten, 15 Kategorien und 5 Verbraucherszenarien und stellte fest, dass alle Modelle angreifbar sind: Eine einzige verschmutzte Seite kann eine Täuschungsrate von bis zu 27 % verursachen, bei Ersatz der drei Top-Ergebnisse steigt diese auf 73,8 %.","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Ein einzelner verschmutzter Seite kann LLM-Empfehlungen beeinflussen: FORGE-Benchmark enthüllt die Verwundbarkeit von abfrageverstärkten Empfehlungssystemen - Aioga KI-News","description":"LLMs mit retrieval-gestärktem Ansatz sind in Verbraucherempfehlungen leicht von GEO-Inhaltsverschmutzung betroffen und werden unbeabsichtigt zu Förderern falscher Produkte. Der neu...","url":"https://www.aioga.com/de/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:24:24.579Z"},"pt-BR":{"title":"Uma única página poluída pode afetar a recomendação de LLM: o benchmark FORGE revela a vulnerabilidade dos sistemas de recomendação aprimorados por recuperação","summary":"LLMs com aumento de recuperação são facilmente influenciados por poluição de conteúdo GEO em recomendações de consumo, tornando-se promotores involuntários de produtos falsos. O novo benchmark FORGE testou 12 LLMs comerciais e de código aberto em 225 produtos reais, 15 categorias e 5 cenários de consumo, e descobriu que todos os modelos são vulneráveis a ataques: uma única página poluída pode causar uma taxa de engano de até 27%, e ao substituir os três primeiros resultados, isso sobe para 73,8%.","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Uma única página poluída pode afetar a recomendação de LLM: o benchmark FORGE revela a vulnerabilidade dos sistemas de recomendação aprimorados por recuperação - Aioga Notícias de IA","description":"LLMs com aumento de recuperação são facilmente influenciados por poluição de conteúdo GEO em recomendações de consumo, tornando-se promotores involuntários de produtos falsos. O no...","url":"https://www.aioga.com/pt-BR/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:25:20.912Z"},"ru":{"title":"Одна загрязнённая страница может повлиять на рекомендации LLM: бенчмарк FORGE выявляет уязвимость систем рекомендаций с усиленным поиском","summary":"LLM с восстановленным поиском в потребительских рекомендациях легко подвержены загрязнению контентом GEO и становятся невольными пропагандистами фальшивых продуктов. Новый эталон FORGE протестировал 12 коммерческих и открытых LLM на 225 реальных продуктах, 15 категориях и 5 потребительских сценариях, выявив, что все модели уязвимы к атакам: одна загрязненная страница может привести к максимальной обманчивости до 27%, а замена всех первых трёх результатов повышает её до 73,8%.","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Одна загрязнённая страница может повлиять на рекомендации LLM: бенчмарк FORGE выявляет уязвимость систем рекомендаций с усиленным поиском - Aioga Новости ИИ","description":"LLM с восстановленным поиском в потребительских рекомендациях легко подвержены загрязнению контентом GEO и становятся невольными пропагандистами фальшивых продуктов. Новый эталон F...","url":"https://www.aioga.com/ru/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:25:24.110Z"},"ar":{"title":"يمكن لصفحة ملوثة واحدة أن تؤثر على توصيات LLM: معيار FORGE يكشف ضعف أنظمة التوصية المعززة بالاسترجاع","summary":"تتعرض نماذج اللغة الكبيرة المعززة بالبحث (LLM) في التوصيات الاستهلاكية بسهولة لتلوث المحتوى الجغرافي (GEO)، مما يجعلها مروجًا غير مقصود للمنتجات الزائفة. اختبر المعيار الجديد FORGE 12 نموذجًا تجاريًا ومفتوح المصدر على 225 منتجًا حقيقيًا و15 فئة و5 سيناريوهات استهلاكية، ووجد أن جميع النماذج سهلة التعرض للهجوم: يمكن لصفحة ملوثة واحدة أن تسبب معدل خديعة يصل إلى 27٪، وعند استبدال الثلاث نتائج الأولى كلها يرتفع إلى 73.8٪.","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"يمكن لصفحة ملوثة واحدة أن تؤثر على توصيات LLM: معيار FORGE يكشف ضعف أنظمة التوصية المعززة بالاسترجاع - Aioga أخبار الذكاء الاصطناعي","description":"تتعرض نماذج اللغة الكبيرة المعززة بالبحث (LLM) في التوصيات الاستهلاكية بسهولة لتلوث المحتوى الجغرافي (GEO)، مما يجعلها مروجًا غير مقصود للمنتجات الزائفة. اختبر المعيار الجديد FORGE...","url":"https://www.aioga.com/ar/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:26:22.842Z"},"hi":{"title":"एक ही प्रदूषित पृष्ठ LLM सिफारिशों को प्रभावित कर सकता है: FORGE बेंचमार्क खोज-संवर्धित सिफारिश प्रणाली की कमजोरी को उजागर करता है","summary":"सर्च एन्हांस्ड LLM उपभोक्ता सिफारिशों में GEO सामग्री प्रदूषण से प्रभावित होने में आसानी से पड़ सकते हैं, और अनजाने में झूठे उत्पादों को बढ़ावा देने वाले बन जाते हैं। नए बेंचमार्क FORGE ने 225 असली उत्पादों, 15 श्रेणियों और 5 उपभोक्ता परिदृश्यों में 12 व्यावसायिक और ओपन-सोर्स LLM का परीक्षण किया, और पाया कि सभी मॉडल हमले के प्रति संवेदनशील हैं: केवल một प्रदूषित पृष्ठ से धोखाधड़ी की दर अधिकतम 27% तक जा सकती है, और पहले 3 परिणामों को पूरी तरह बदलने पर यह बढ़कर 73.8% हो जाती है।","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"एक ही प्रदूषित पृष्ठ LLM सिफारिशों को प्रभावित कर सकता है: FORGE बेंचमार्क खोज-संवर्धित सिफारिश प्रणाली की कमजोरी को उजागर करता है - Aioga AI समाचार","description":"सर्च एन्हांस्ड LLM उपभोक्ता सिफारिशों में GEO सामग्री प्रदूषण से प्रभावित होने में आसानी से पड़ सकते हैं, और अनजाने में झूठे उत्पादों को बढ़ावा देने वाले बन जाते हैं। नए बेंचमार्क...","url":"https://www.aioga.com/hi/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:26:25.322Z"},"it":{"title":"Una singola pagina contaminata può influenzare le raccomandazioni LLM: il benchmark FORGE rivela la vulnerabilità dei sistemi di raccomandazione potenziati dalla ricerca","summary":"I LLM potenziati dalla ricerca sono facilmente influenzati dall'inquinamento dei contenuti GEO nelle raccomandazioni ai consumatori, diventando promotori involontari di prodotti falsi. Il nuovo benchmark FORGE ha testato 12 LLM commerciali e open source su 225 prodotti reali, 15 categorie e 5 scenari di consumo, scoprendo che tutti i modelli sono vulnerabili agli attacchi: una singola pagina contaminata può causare un tasso di inganno fino al 27%, che sale al 73,8% sostituendo tutti e primi tre risultati.","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Una singola pagina contaminata può influenzare le raccomandazioni LLM: il benchmark FORGE rivela la vulnerabilità dei sistemi di raccomandazione potenziati dalla ricerca - Aioga Notizie IA","description":"I LLM potenziati dalla ricerca sono facilmente influenzati dall'inquinamento dei contenuti GEO nelle raccomandazioni ai consumatori, diventando promotori involontari di prodotti fa...","url":"https://www.aioga.com/it/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:27:29.073Z"},"nl":{"title":"Een enkele besmette pagina kan LLM-aanbevelingen beïnvloeden: FORGE-benchmark onthult kwetsbaarheid van zoekverrijkte aanbevelingssystemen","summary":"Geverifieerde LLM's met zoekversterking zijn in consumentaanbevelingen kwetsbaar voor GEO-inhoudsvervuiling en worden onbedoeld promotors van nepproducten. De nieuwe benchmark FORGE testte 12 commerciële en open-source LLM's op 225 echte producten, 15 categorieën en 5 consumptiescenario's, en ontdekte dat alle modellen vatbaar zijn voor aanvallen: slechts één vervuilde pagina kan een misleidingspercentage van maximaal 27% veroorzaken, en bij vervanging van de eerste drie resultaten stijgt dit tot 73,8%.","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Een enkele besmette pagina kan LLM-aanbevelingen beïnvloeden: FORGE-benchmark onthult kwetsbaarheid van zoekverrijkte aanbevelingssystemen - Aioga AI-nieuws","description":"Geverifieerde LLM's met zoekversterking zijn in consumentaanbevelingen kwetsbaar voor GEO-inhoudsvervuiling en worden onbedoeld promotors van nepproducten. De nieuwe benchmark FORG...","url":"https://www.aioga.com/nl/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:27:22.570Z"},"tr":{"title":"Tek bir kirli sayfa LLM önerilerini etkileyebilir: FORGE benchmark, retrieval-augmented öneri sistemlerinin kırılganlığını ortaya koyuyor","summary":"Araştırma destekli LLM'ler, tüketici önerilerinde GEO içerik kirliliğinden kolayca etkilenir ve yanlış ürünlerin istemeden tanıtımcısı haline gelir. Yeni standart FORGE, 225 gerçek ürün, 15 kategori ve 5 tüketim senaryosunda 12 ticari ve açık kaynaklı LLM'i test ederek tüm modellerin saldırılara açık olduğunu ortaya koydu: tek bir kirlenmiş sayfa bile maksimum %27 dolandırıcılık oranına neden olabiliyor, ilk 3 sonucu tamamen değiştirdiğinde ise bu oran %73,8'e çıkıyor.","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Tek bir kirli sayfa LLM önerilerini etkileyebilir: FORGE benchmark, retrieval-augmented öneri sistemlerinin kırılganlığını ortaya koyuyor - Aioga AI Haberleri","description":"Araştırma destekli LLM'ler, tüketici önerilerinde GEO içerik kirliliğinden kolayca etkilenir ve yanlış ürünlerin istemeden tanıtımcısı haline gelir. Yeni standart FORGE, 225 gerçek...","url":"https://www.aioga.com/tr/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:28:27.144Z"},"vi":{"title":"Chỉ một trang bị ô nhiễm cũng có thể ảnh hưởng đến đề xuất của LLM: Chuẩn FORGE tiết lộ sự mong manh của hệ thống đề xuất tăng cường truy xuất","summary":"LLM tăng cường truy vấn dễ bị ảnh hưởng bởi ô nhiễm nội dung GEO trong khuyến nghị tiêu dùng, trở thành người quảng bá vô tình cho các sản phẩm giả. Chuẩn mới FORGE đã thử nghiệm 12 LLM thương mại và mã nguồn mở trên 225 sản phẩm thực, 15 danh mục và 5 kịch bản tiêu dùng, phát hiện tất cả các mô hình đều dễ bị tấn công: chỉ một trang bị ô nhiễm cũng có thể gây ra tỷ lệ bị lừa cao nhất 27%, khi thay thế tất cả 3 kết quả đầu tiên, tỷ lệ này tăng lên 73,8%.","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Chỉ một trang bị ô nhiễm cũng có thể ảnh hưởng đến đề xuất của LLM: Chuẩn FORGE tiết lộ sự mong manh của hệ thống đề xuất tăng cường truy xuất - Tin tức AI Aioga","description":"LLM tăng cường truy vấn dễ bị ảnh hưởng bởi ô nhiễm nội dung GEO trong khuyến nghị tiêu dùng, trở thành người quảng bá vô tình cho các sản phẩm giả. Chuẩn mới FORGE đã thử nghiệm 1...","url":"https://www.aioga.com/vi/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:28:28.998Z"},"id":{"title":"Satu halaman yang terkontaminasi dapat mempengaruhi rekomendasi LLM: Benchmark FORGE mengungkap kerentanan sistem rekomendasi berbasis pencarian","summary":"LLM yang ditingkatkan dengan pencarian rentan terhadap kontaminasi konten GEO dalam rekomendasi konsumen, menjadi promotor tidak sengaja produk palsu. Benchmark baru FORGE menguji 12 LLM komersial dan sumber terbuka pada 225 produk nyata, 15 kategori, dan 5 skenario konsumsi, menemukan bahwa semua model rentan terhadap serangan: satu halaman kontaminasi dapat menyebabkan tingkat penipuan hingga 27%, dan ketika mengganti tiga hasil teratas, meningkat menjadi 73,8%.","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Satu halaman yang terkontaminasi dapat mempengaruhi rekomendasi LLM: Benchmark FORGE mengungkap kerentanan sistem rekomendasi berbasis pencarian - Berita AI Aioga","description":"LLM yang ditingkatkan dengan pencarian rentan terhadap kontaminasi konten GEO dalam rekomendasi konsumen, menjadi promotor tidak sengaja produk palsu. Benchmark baru FORGE menguji...","url":"https://www.aioga.com/id/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:29:22.637Z"},"th":{"title":"เพียงหน้ามลพิษเดียวก็สามารถส่งผลต่อการแนะนำของ LLM: เกณฑ์มาตรฐาน FORGE เปิดเผยความเปราะบางของระบบแนะนำที่เพิ่มประสิทธิภาพด้วยการค้นคืน","summary":"LLM ที่เสริมด้วยการค้นหามีแนวโน้มได้รับผลกระทบจากเนื้อหา GEO ในการแนะนำผู้บริโภค ทำให้กลายเป็นผู้โปรโมตสินค้าปลอมโดยไม่ตั้งใจ เกณฑ์มาตรฐานใหม่ FORGE ทดสอบ LLM เชิงพาณิชย์และโอเพนซอร์ส 12 แบบใน 225 ผลิตภัณฑ์จริง 15 หมวดหมู่ และ 5 สถานการณ์การบริโภค พบว่ารุ่นทั้งหมดมีแนวโน้มถูกโจมตีได้: หน้าเนื้อหาปลอมเพียงหน้าเดียวสามารถทำให้มีอัตราการถูกหลอกสูงสุดถึง 27% และเมื่อแทนที่ผลลัพธ์ 3 อันดับแรกทั้งหมด อัตรานี้เพิ่มขึ้นเป็น 73.8%","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"เพียงหน้ามลพิษเดียวก็สามารถส่งผลต่อการแนะนำของ LLM: เกณฑ์มาตรฐาน FORGE เปิดเผยความเปราะบางของระบบแนะนำที่เพิ่มประสิทธิภาพด้วยการค้นคืน - ข่าว AI Aioga","description":"LLM ที่เสริมด้วยการค้นหามีแนวโน้มได้รับผลกระทบจากเนื้อหา GEO ในการแนะนำผู้บริโภค ทำให้กลายเป็นผู้โปรโมตสินค้าปลอมโดยไม่ตั้งใจ เกณฑ์มาตรฐานใหม่ FORGE ทดสอบ LLM เชิงพาณิชย์และโอเพนซอ...","url":"https://www.aioga.com/th/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:29:34.116Z"},"pl":{"title":"Pojedyncza zanieczyszczona strona może wpłynąć na rekomendacje LLM: Benchmark FORGE ujawnia podatność systemów rekomendacyjnych wzmocnionych wyszukiwaniem","summary":"Modele LLM wspomagane przez wyszukiwanie są w rekomendacjach konsumenckich podatne na zanieczyszczenie treściami GEO, stając się niezamierzonymi promotorami fałszywych produktów. Nowy benchmark FORGE przetestował 12 komercyjnych i otwartych modeli LLM na 225 prawdziwych produktach, 15 kategoriach i 5 scenariuszach konsumenckich, wykazując, że wszystkie modele są podatne na ataki: pojedyncza zanieczyszczona strona może powodować wskaźnik oszukania się sięgający 27%, a po zastąpieniu wszystkich trzech pierwszych wyników wzrasta on do 73,8%.","category":"行业动态","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文","pageTitle":"Pojedyncza zanieczyszczona strona może wpłynąć na rekomendacje LLM: Benchmark FORGE ujawnia podatność systemów rekomendacyjnych wzmocnionych wyszukiwaniem - Aioga Wiadomości AI","description":"Modele LLM wspomagane przez wyszukiwanie są w rekomendacjach konsumenckich podatne na zanieczyszczenie treściami GEO, stając się niezamierzonymi promotorami fałszywych produktów. N...","url":"https://www.aioga.com/pl/news/cmt8bo2db30oaro735zu90tig/","contentTranslated":true,"sourceHash":"1be4a47be99ff81b","translatedAt":"2026-08-26T19:30:36.355Z"}},"evidenceTier":"source-report","reviewStatus":"editorial-selected","indexable":true,"editorialCover":"/page-visuals/model-compare.png"}}