Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy | Paper Citation Record

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Unresolved cited work

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This paper cites : CLEF eHealth Evaluation Lab 2021.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy : CLEF eHealth Evaluation Lab 2021

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This paper cites In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp

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This paper cites International Journal of Environmental Research and Public Health 19(4), 2173 (2022).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy International Journal of Environmental Research and Public Health 19(4), 2173 (2022)

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This paper cites In: 2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS), pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: 2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS), pp

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Llama 2: Open Foundation and Fine-Tuned Chat Models

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy GLM: General Language Model Pretraining with Autoregressive Blank Infilling

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: International Conference on AI-generated Content, pp

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This paper cites To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering

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This paper cites Question answering systems for health professionals at the point of care -- a systematic review.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Question answering systems for health professionals at the point of care -- a systematic review

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This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

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This paper cites How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection

Reference 12

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This paper cites In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp

Reference 13

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This paper cites In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp

Reference 14

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy ACM Comput

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This paper cites Minimizing Factual Inconsistency and Hallucination in Large Language Models.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Minimizing Factual Inconsistency and Hallucination in Large Language Models

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Rethinking with Retrieval: Faithful Large Language Model Inference

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This paper cites Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Advances in Neural Information Processing Systems 33, 9459–9474 (2020)

Reference 22

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: 2024 47th MIPRO ICT and Electronics Convention (MIPRO), pp

Reference 23

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: International Conference on Machine Learning, pp

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This paper cites In: International Conference on Machine Learning, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: International Conference on Machine Learning, pp

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This paper cites Journal of Machine Learning Research24(251), 1–43 (2023).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Journal of Machine Learning Research24(251), 1–43 (2023)

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Improving Retrieval for RAG based Question Answering Models on Financial Documents

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: TREC (2020)

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy PANACEA: An Automated Misinformation Detection System on COVID-19

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments

Reference 32

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceed- ings of the 31st ACM International Conference on Information & Knowledge Management, pp

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Information Processing & Management 59(5), 103029 (2022)

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Can LLM-Generated Misinformation Be Detected?

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Multimedia Tools and Applications 82(4), 5271–5290 (2023)

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the Conference on Information Technology for Social Good

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This paper cites In: Proceedings of the 3rd International Workshop on Open Challenges in Online Social Networks.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the 3rd International Workshop on Open Challenges in Online Social Networks

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy : E-bart: Jointly pre- dicting and explaining truthfulness

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy 21 Proceedings of the ACM on Human-Computer Interaction 6(GROUP), 1–25 (2022)

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This paper cites In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp

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This paper cites Frontiers in Artificial Intelligence 6, 1184851 (2023).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Frontiers in Artificial Intelligence 6, 1184851 (2023)

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp

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This paper cites In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp

Reference 44

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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Transactions of the Association for Computational Linguistics10, 178–206 (2022)

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This paper cites In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp

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This paper cites In: CEUR Workshop Proceedings, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: CEUR Workshop Proceedings, pp

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This paper cites IMS UniPD ad CLEF eHealth 2020 Task 2.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy IMS UniPD ad CLEF eHealth 2020 Task 2

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This paper cites In: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp

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This paper cites 22 In: CLEF 2020 (2020).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy 22 In: CLEF 2020 (2020)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.711275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5707b614-ed08-4e31-971f-83d6dda4eb33 · outbound

This paper cites In: CLEF (Working Notes) (2020).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: CLEF (Working Notes) (2020)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.696100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a7d5d8e-79cf-469e-a3c4-6365f18a3860 · outbound

This paper cites In: TREC (2020).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: TREC (2020)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.680750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4f17cb1-be6b-414c-8f9c-0b84987d0465 · outbound

This paper cites DS4DH at TREC Health Misinformation 2021: Multi-Dimensional Ranking Models with Transfer Learning and Rank Fusion.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy DS4DH at TREC Health Misinformation 2021: Multi-Dimensional Ranking Models with Transfer Learning and Rank Fusion

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T21:59:59.994092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 954b1c1c-7ba7-4519-9815-7499986add7d · outbound

This paper cites UPV at TREC Health Misinformation Track 2021 Ranking with SBERT and Quality Estimators.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy UPV at TREC Health Misinformation Track 2021 Ranking with SBERT and Quality Estimators

Reference 54

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T21:59:59.971369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7f43160-094f-4b91-bbda-b5405a244edd · outbound

This paper cites In: Proceedings of the Thirtieth REtrieval Conference Proceedings (TREC 2021).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the Thirtieth REtrieval Conference Proceedings (TREC 2021)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.665001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 438ca969-5af3-4544-b3f9-b57b9a91c489 · outbound

This paper cites In: Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2022), pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2022), pp

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.650599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d1cc80e-3a15-4921-b434-da42914cd611 · outbound

This paper cites Journal of machine learning research 21(140), 1–67 (2020).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Journal of machine learning research 21(140), 1–67 (2020)

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.350945Z

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Observation 4b00b527-fdff-4edc-b590-bacbbe783ac1 · outbound

This paper cites DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.355103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d12b3323-ff0a-43f3-9e82-d10c5726871b · outbound

This paper cites In: Companion Proceedings of the ACM on Web Conference 2024, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Companion Proceedings of the ACM on Web Conference 2024, pp

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.626510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b606c28-a4d8-4939-96a6-b5bf8c2f4bbd · outbound

This paper cites an unresolved cited work.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Unresolved cited work

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-08-08T21:59:59.930464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2d40b18-756e-4ed6-b78e-f6b82d016ab5 · outbound

This paper cites JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.368121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0471f584-3b9f-4141-9d10-421d08962507 · outbound

This paper cites Efficient Medical Question Answering with Knowledge-Augmented Question Generation.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Efficient Medical Question Answering with Knowledge-Augmented Question Generation

Reference 62

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T21:59:59.649015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d2e867e1-7de9-4f46-94b8-e6a17ce5f468 · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.376922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0c79e06-b54d-418d-ba76-1ea94d4bc687 · outbound

This paper cites an unresolved cited work.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:00:00.612832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16b453c0-534a-4721-9297-830d5ba8c408 · outbound

This paper cites In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pp

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.597457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b741ae21-fa59-4a0e-931d-c4f438e8bacb · outbound

This paper cites In: Proceedings of the 61st Annual Meeting of the Association for Computa- tional Linguistics (Volume 1: Long Papers), pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the 61st Annual Meeting of the Association for Computa- tional Linguistics (Volume 1: Long Papers), pp

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.582311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4edc6864-a35d-46c8-8414-d3b79bcd62c2 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL 2023, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Findings of the Association for Computational Linguistics: ACL 2023, pp

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.565785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15bde5e3-0632-4601-8146-b668f735bca1 · outbound

This paper cites an unresolved cited work.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:00:00.551071Z

Source-reported events for the cited work

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Observation 82b5ee19-db7d-43c8-8e53-f9860093775a · outbound

This paper cites an unresolved cited work.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:00:00.535989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4968c2a-da3a-4fd0-932d-269f5c052835 · outbound

This paper cites Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.406375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e280f38c-30d4-4797-b540-f056bd07512e · outbound

This paper cites Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.410568Z

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Unavailable: canonical work link unavailable.

Observation 3a946de6-7f9f-445c-b6dc-0fc91931db3c · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: The Eleventh International Conference on Learning Representations (2023)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.519321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9be3214b-e66e-4a83-b4ed-f762c8233b1c · outbound

This paper cites FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.419145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 560fe7f5-7e21-4030-9a23-75f5a42f7f8d · outbound

This paper cites Fact-Checking Complex Claims with Program-Guided Reasoning.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.423542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e35d092-dd06-4d20-90d6-dedba57693b5 · outbound

This paper cites Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.428114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e68dd1a9-9b6f-4095-999d-40993dcbdb08 · outbound

This paper cites Transactions of the Association for Computational Linguistics 12, 334–354 (2024).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Transactions of the Association for Computational Linguistics 12, 334–354 (2024)

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.503339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e37266a-d9f8-4bcc-aa8c-008bde0fbff9 · outbound

This paper cites Foundations and Trends ® in Information Retrieval 3(4), 333–389 (2009).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Foundations and Trends ® in Information Retrieval 3(4), 333–389 (2009)

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.436961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245a9744-cbc5-4a7b-ae13-278486febba6 · outbound

This paper cites In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.476254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f7dd8339-b15c-4f17-bfa8-3f673e5fed11 · outbound

This paper cites Bioinformatics 36(4), 1234–1240 (2020).

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Bioinformatics 36(4), 1234–1240 (2020)

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.445235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b1912aa-b895-485a-9663-886f0ff39fbc · outbound

This paper cites Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.449568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43f6964-c4e8-485c-b6ac-27fe57f607b9 · outbound

This paper cites SciFive: a text-to-text transformer model for biomedical literature.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy SciFive: a text-to-text transformer model for biomedical literature

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.454174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b42cd758-0ede-472c-8aeb-9c2853273785 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-08T21:59:59.458887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a70b85c-f9fc-482e-8ef2-71aeac25d52b · outbound

This paper cites In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.450251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed6c8647-812f-4fed-bb18-77e7f445a213 · outbound

This paper cites In: International Conference on Web Information Systems Engineering, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: International Conference on Web Information Systems Engineering, pp

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.434094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 737a5b7b-2dc3-4769-9451-392ee7573dbc · outbound

This paper cites In: Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, pp.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy In: Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, pp

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:00:00.417521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers