Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts | Paper Citation Record

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This paper cites Dahl, and Dario Gosmar.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Dahl, and Dario Gosmar

Reference 1

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This paper cites ACM Trans- actions on Knowledge Discovery from Data10(1), 1–51 (2015) https://doi.org/ 10.1145/2733381.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts ACM Trans- actions on Knowledge Discovery from Data10(1), 1–51 (2015) https://doi.org/ 10.1145/2733381

Reference 2

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This paper cites In: Advances in Knowledge Discovery and Data Mining.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts In: Advances in Knowledge Discovery and Data Mining

Reference 3

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This paper cites DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN , year =.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN , year =

Reference 4

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This paper cites A Theoretical Analysis of NDCG Type Ranking Measures.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts A Theoretical Analysis of NDCG Type Ranking Measures

Reference 5

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This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 6

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This paper cites Johnson, M.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Johnson, M

Reference 7

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This paper cites Improved.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Improved

Reference 8

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This paper cites WIREs Data Mining and Knowledge Discovery2(1), 86–97 (2012) https://doi.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts WIREs Data Mining and Knowledge Discovery2(1), 86–97 (2012) https://doi

Reference 9

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This paper cites and Matsuura, Kenji , year =.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts and Matsuura, Kenji , year =

Reference 10

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This paper cites 35 Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts 35 Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R

Reference 11

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 12

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Proceedings of

Reference 13

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This paper cites Financial Report Chunking for Effective Retrieval Augmented Generation.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 14

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts 2026 , note =

Reference 16

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This paper cites Manning, Prabhakar Raghavan, and Hinrich Schütze.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Manning, Prabhakar Raghavan, and Hinrich Schütze

Reference 17

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This paper cites Document.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Document

Reference 18

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This paper cites ACM Comput.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts ACM Comput

Reference 19

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This paper cites 1973 , pages =.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts 1973 , pages =

Reference 20

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This paper cites Is semantic chunking worth the computational cost?, in: Chiruzzo, L., Ritter, A., Wang, L.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Is semantic chunking worth the computational cost?, in: Chiruzzo, L., Ritter, A., Wang, L

Reference 21

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts 2025.Eval- uation of Retrieval-Augmented Generation: A Survey

Reference 22

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts RAGA s: Automated evaluation of retrieval augmented generation

Reference 23

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Information Storage and Retrieval , author =

Reference 24

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 26

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This paper cites Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 27

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Rethinking Chunk Size For Long-Document Retrieval: A Multi-Dataset Analysis

Reference 28

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Davies and Donald W

Reference 29

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This paper cites Étude comparative de la distribution florale dans une portion des.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Étude comparative de la distribution florale dans une portion des

Reference 30

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Procedia Computer Science , author =

Reference 31

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Training Sparse Mixture Of Experts Text Embedding Models

Reference 32

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 33

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems

Reference 34

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Measurement of

Reference 35

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Chroma , file =

Reference 36

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Engineering at Meta , month = mar, year =

Reference 37

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 38

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Cohen and Ruslan Salakhutdinov and Christopher D

Reference 39

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts 2025 , note =

Reference 40

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 41

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 42

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts 2024 , file =

Reference 43

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Arize AI , file =

Reference 44

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Analytics Vidhya , author =

Reference 45

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation

Reference 46

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts IEEE Transactions on Knowledge and Data Engineering , author =

Reference 47

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This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Lost in the Middle: How Language Models Use Long Contexts

Reference 48

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 49

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 50

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 51

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 52

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This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 53

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This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 54

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T06:57:42.203454Z

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This paper cites Bavarian Journal of Applied Sciences , author =.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Bavarian Journal of Applied Sciences , author =

Reference 55

Resolution: verified exact; doi, observed 2026-07-03T06:57:42.257674Z

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts MTEB: Massive Text Embedding Benchmark

Reference 56

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T06:57:42.263699Z

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Retrieval-based language models and applications

Reference 57

Resolution: verified exact; doi, observed 2026-07-03T06:57:42.248652Z

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 58

Resolution: metadata mismatch; doi, observed 2026-07-03T06:57:42.246684Z

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This paper cites Contextual.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Contextual

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:57:42.222028Z

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T06:57:42.219940Z

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Observation f3b7d0ef-1792-492e-8740-a44b4598efd2 · outbound

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Robust and

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:57:42.229833Z

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Observation e26cdc19-5601-4705-a690-ab9ea9dd52b8 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-07-03T06:57:42.261504Z

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Observation ce322294-bbed-412c-9486-d7a6d2c57447 · outbound

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-07-03T06:57:42.246368Z

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Observation ce029c75-23e2-4e5e-85f3-f30f44080d6d · outbound

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Semantic

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:57:42.206064Z

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Observation 21197346-cb04-4f31-9754-d4e4bfe44109 · outbound

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Advances in Neural Information Processing Systems , author =

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T12:11:04.012028Z

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This paper cites 2024 , keywords =.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts 2024 , keywords =

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T12:11:04.031838Z

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Observation f32b6ff6-d872-413f-bf38-98487bc5866e · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-07-03T06:57:42.539165Z

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Observation dd857136-115c-4a42-b84b-0f65306d2e4e · outbound

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 68

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Observation 05fd7c64-495a-4834-9002-282c0731209a · outbound

This paper cites Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:57:42.541870Z

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Observation f1229415-99b7-4d27-af34-51ebd6d3d01f · outbound

This paper cites Reisinger, A.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Reisinger, A

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:57:42.544945Z

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Observation d63f65d8-0746-4e1e-8258-1250e98e953a · outbound

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-07-05T12:11:04.021441Z

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Observation 6644be73-e38f-43c7-84a1-fc791c2ad33e · outbound

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-07-05T12:11:04.008838Z

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Observation dce1b853-6704-4d7d-b942-d55ca4a155d1 · outbound

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Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Unresolved cited work

Reference 73

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