{
"count": 5,
"items": [
{
"title": "Corrective Retrieval Augmented Generation",
"authors": [
"Shi-Qi Yan",
"Jia-Chen Gu",
"Yun Zhu",
"Zhen-Hua Ling"
],
"year": 2026,
"date": "2026-01-01",
"type": "conference-paper",
"doi": "10.18653/2026.findings-aacl.151",
"doiUrl": "https://doi.org/10.18653/2026.findings-aacl.151",
"citedBy": 717,
"venue": null,
"isOpenAccess": true,
"pdfUrl": "https://aclanthology.org/2026.findings-aacl.151.pdf",
"landingUrl": "https://doi.org/10.18653/2026.findings-aacl.151",
"abstract": "Large language models (LLMs) inevitably exhibit hallucinations since the accuracy of generated texts cannot be secured solely by the parametric knowledge they encapsulate.Although",
"openalexId": "https://openalex.org/W4410705984",
"source": "openalex",
"query": "retrieval augmented generation",
"scrapedAt": "2026-11-12T22:57:23Z"
},
{
"title": "Graph Retrieval-Augmented Generation: A Survey",
"authors": [
"Boci Peng",
"Yun Zhu",
"Yongchao Liu",
"Xiaohe Bo",
"Haizhou Shi",
"Chuntao Hong",
"Yan Zhang",
"Siliang Tang"
],
"year": 2025,
"date": "2025-11-19",
"type": "article",
"doi": "10.1145/3777378",
"doiUrl": "https://doi.org/10.1145/3777378",
"citedBy": 715,
"venue": "ACM Transactions on Information Systems",
"isOpenAccess": true,
"pdfUrl": "https://arxiv.org/pdf/2408.08921",
"landingUrl": "https://doi.org/10.1145/3777378",
"abstract": "Recently, Retrieval-Augmented Generation (RAG) has achieved remarkable success in addressing the challenges of Large Language Models (LLMs) without necessitating retraining. By ref",
"openalexId": "https://openalex.org/W4416379250",
"source": "openalex",
"query": "retrieval augmented generation",
"scrapedAt": "2026-11-12T22:57:24Z"
},
{
"title": "Active Retrieval Augmented Generation",
"authors": [
"Zhengbao Jiang",
"Frank F. Xu",
"Luyu Gao",
"Zhiqing Sun",
"Qian Liu",
"Jane Dwivedi-Yu",
"Yiming Yang",
"Jamie Callan",
"Graham Neubig"
],
"year": 2023,
"date": "2023-01-01",
"type": "conference-paper",
"doi": "10.18653/v1/2023.emnlp-main.495",
"doiUrl": "https://doi.org/10.18653/v1/2023.emnlp-main.495",
"citedBy": 1043,
"venue": "Conference on Empirical Methods in Natural Language Processing (EMNLP)",
"isOpenAccess": true,
"pdfUrl": "https://aclanthology.org/2023.emnlp-main.495.pdf",
"landingUrl": "https://doi.org/10.18653/v1/2023.emnlp-main.495",
"abstract": "Zhengbao Jiang, Frank Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig. Proceedings of the 2023 Conference on Empirical Methods in Nat",
"openalexId": "https://openalex.org/W4389519118",
"source": "openalex",
"query": "retrieval augmented generation",
"scrapedAt": "2026-11-12T22:57:24Z"
},
{
"title": "Evaluation of Retrieval-Augmented Generation: A Survey",
"authors": [
"Hao Yu",
"Aoran Gan",
"Kai Zhang",
"Shiwei Tong",
"Qi Liu",
"Zhaofeng Liu"
],
"year": 2025,
"date": "2025-01-01",
"type": "conference-paper",
"doi": "10.1007/978-981-96-1024-2_8",
"doiUrl": "https://doi.org/10.1007/978-981-96-1024-2_8",
"citedBy": 375,
"venue": "Communications in computer and information science",
"isOpenAccess": true,
"pdfUrl": "https://arxiv.org/pdf/2405.07437",
"landingUrl": "https://doi.org/10.1007/978-981-96-1024-2_8",
"abstract": null,
"openalexId": "https://openalex.org/W4406771321",
"source": "openalex",
"query": "retrieval augmented generation",
"scrapedAt": "2026-11-12T22:57:24Z"
},
{
"title": "Benchmarking Retrieval-Augmented Generation for Medicine",
"authors": [
"Guangzhi Xiong",
"Qiao Jin",
"Zhiyong Lu",
"Aidong Zhang"
],
"year": 2024,
"date": "2024-01-01",
"type": "conference-paper",
"doi": "10.18653/v1/2024.findings-acl.372",
"doiUrl": "https://doi.org/10.18653/v1/2024.findings-acl.372",
"citedBy": 539,
"venue": "Findings of the Association for Computational Linguistics: ACL (Findings of ACL)",
"isOpenAccess": true,
"pdfUrl": "https://aclanthology.org/2024.findings-acl.372.pdf",
"landingUrl": "https://doi.org/10.18653/v1/2024.findings-acl.372",
"abstract": "While large language models (LLMs) have achieved state-of-the-art performance on a wide range of medical question answering (QA) tasks, they still face challenges with hallucinatio",
"openalexId": "https://openalex.org/W4402670290",
"source": "openalex",
"query": "retrieval augmented generation",
"scrapedAt": "2026-11-12T22:57:24Z"
}
]
}
curl --location --request GET 'https://zylalabs.com/api/14867/scientific+papers+api/38700/scientific+papers+api?queries=retrieval augmented generation&openAccessOnly=false&sort=relevance&source=auto&maxItems=5' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Scientific Papers API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
No long-term commitment. Upgrade, downgrade, or cancel anytime.
Search millions of research papers by keyword, author or DOI. Returns title, authors, year, venue, abstract, citation count, DOI and an open-access PDF link when one exists, as clean JSON.
Search millions of research papers by keyword, author or DOI. Returns title, authors, year, venue, abstract, citation count, DOI and an open-access PDF link when one exists, as clean JSON.
Up to 100 results per request. Set it with the maxItems parameter.
Every request collects live data from the public source. Identical requests may be served from a cache for up to 6 hours.
List parameters accept several values separated by commas, for example: london,paris.
To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
The free trial lasts for 7 days and allows you to make up to 50 API requests.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
You can monitor your API usage through the response headers included with every request:
x-zyla-api-calls-monthly-used: Shows the total number of API requests you have used during the current billing period.
x-zyla-api-calls-monthly-remaining: Shows the number of API requests you have remaining for the current billing period.
Yes, you can cancel your subscription at any time. Simply go to the Pricing section of the API you're subscribed to and click the "Unsubscribe" button.
Please note that upgrades, downgrades, and cancellations take effect immediately. Once your subscription is canceled, access to the service will end immediately, regardless of any remaining API calls in your quota.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund