Fetching the paper…
Reading the bibliography…
Graph-based RAG methods like GraphRAG have shown promising global understanding of the knowledge base by constructing hierarchical entity graphs.
The pagerank citation ranking: Bringing order to the web
L. Page, S. Brin, R. Motwani, and T. Winograd · 1999
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
C.-Y. Lin · 2004
Earlier work this paper cites.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. u. Kaiser, and I. Polosukhin · 2017
Earlier work this paper cites.
spaCy: Industrial-strength Natural Language Processing in Python
M. Honnibal, I. Montani, S. Van Landeghem, and A. Boyd · 2020
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, S. Riedel, and D. Kiela · 2020
Earlier work this paper cites.
Flashattention: fast and memory-efficient exact attention with io-awareness
T. Dao, D. Y. Fu, S. Ermon, A. Rudra, and C. Ré · 2022
Earlier work this paper cites.
Multitask prompted training enables zero-shot task generalization
V. Sanh, A. Webson, C. Raffel, S. Bach, L. Sutawika, Z. Alyafeai, A. Chaffin, A. Stiegler, A. Raja, M. Dey, M. S. Bari, C. Xu, U. Thakker, S. S. Sharma, E. Szczechla, T. Kim, G. Chhablani, N. Nayak, D. Datta, J. Chang, M. T.-J. Jiang, H. Wang, M. Manica, S. Shen, Z. X. Yong, H. Pandey, R. Bawden, T. Wang, T. Neeraj, J. Rozen, A. Sharma, A. Santilli, T. Fevry, J. A. Fries, R. Teehan, T. L. Scao, S. Biderman, L. Gao, T. Wolf, and A. M. Rush · 2022
Earlier work this paper cites.
Using LLM for improving key event discovery: Temporal-guided news stream clustering with event summaries
N. Nakshatri, S. Liu, S. Chen, D. Roth, D. Goldwasser, and D. Hopkins · 2023
Earlier work this paper cites.
Efficiently scaling transformer inference
R. Pope, S. Douglas, A. Chowdhery, J. Devlin, J. Bradbury, J. Heek, K. Xiao, S. Agrawal, and J. Dean · 2023
Earlier work this paper cites.
Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback
K. Tian, E. Mitchell, A. Zhou, A. Sharma, R. Rafailov, H. Yao, C. Finn, and C. Manning · 2023
Earlier work this paper cites.
https://github.com/circlemind-ai/fast-graphrag , 2024
Fastgraphrag · 2024
Earlier work this paper cites.
M3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation
J. Chen, S. Xiao, P. Zhang, K. Luo, D. Lian, and Z. Liu · 2024
Earlier work this paper cites.
Analyze, generate and refine: Query expansion with LLMs for zero-shot open-domain QA
X. Chen, X. Chen, B. He, T. Wen, and L. Sun · 2024
Earlier work this paper cites.
The faiss library
M. Douze, A. Guzhva, C. Deng, J. Johnson, G. Szilvasy, P.-E. Mazaré, M. Lomeli, L. Hosseini, and H. Jégou · 2024
Earlier work this paper cites.
Haloscope: Harnessing unlabeled llm generations for hallucination detection
X. Du, C. Xiao, and Y. Li · 2024
Earlier work this paper cites.
A survey on rag meeting llms: Towards retrieval-augmented large language models
W. Fan, Y. Ding, L. Ning, S. Wang, H. Li, D. Yin, T.-S. Chua, and Q. Li · 2024
Cited alongside, same era.
Lightrag: Simple and fast retrieval-augmented generation, 2024
Z. Guo, L. Xia, Y. Yu, T. Ao, and C. Huang · 2024
Cited alongside, same era.
Hipporag: Neurobiologically inspired long-term memory for large language models
B. J. Gutiérrez, Y. Shu, Y. Gu, M. Yasunaga, and Y. Su · 2024
Cited alongside, same era.
G-retriever: Retrieval-augmented generation for textual graph understanding and question answering
X. He, Y. Tian, Y. Sun, N. V. Chawla, T. Laurent, Y. LeCun, X. Bresson, and B. Hooi · 2024
Cited alongside, same era.
Efficient knowledge infusion via KG-LLM alignment
Z. Jiang, L. Zhong, M. Sun, J. Xu, R. Sun, H. Cai, S. Luo, and Z. Zhang · 2024
Cited alongside, same era.
Raptor: Recursive abstractive processing for tree-organized retrieval
P. Sarthi, S. Abdullah, A. Tuli, S. Khanna, A. Goldie, and C. D. Manning · 2024
Later among the works it cites.
Towards faithful and robust LLM specialists for evidence-based question-answering
T. Schimanski, J. Ni, M. Kraus, E. Ash, and M. Leippold · 2024
Later among the works it cites.
Tag-llm: repurposing general-purpose llms for specialized domains
J. Shen, N. Tenenholtz, J. B. Hall, D. Alvarez-Melis, and N. Fusi · 2024
Later among the works it cites.
Llm-check: Investigating detection of hallucinations in large language models
G. Sriramanan, S. Bharti, V. S. Sadasivan, S. Saha, P. Kattakinda, and S. Feizi · 2024
Later among the works it cites.
Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph
J. Sun, C. Xu, L. Tang, S. Wang, C. Lin, Y. Gong, L. Ni, H.-Y. Shum, and J. Guo · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
F. Kirstein, T. Ruas, R. Kratel, and B. Gipp · 2024
Cited alongside, same era.
TransLLaMa: LLM-based simultaneous translation system
R. Koshkin, K. Sudoh, and S. Nakamura · 2024
Cited alongside, same era.
Summary of a haystack: A challenge to long-context LLMs and RAG systems
P. Laban, A. Fabbri, C. Xiong, and C.-S. Wu · 2024
Cited alongside, same era.
DALK: Dynamic co-augmentation of LLMs and KG to answer Alzheimer‘s disease questions with scientific literature
D. Li, S. Yang, Z. Tan, J. Y. Baik, S. Yun, J. Lee, A. Chacko, B. Hou, D. Duong-Tran, Y. Ding, H. Liu, L. Shen, and T. Chen · 2024
Cited alongside, same era.
Flexkbqa: A flexible llm-powered framework for few-shot knowledge base question answering
Z. Li, S. Fan, Y. Gu, X. Li, Z. Duan, B. Dong, N. Liu, and J. Wang · 2024
Cited alongside, same era.
Ddk: Distilling domain knowledge for efficient large language models
J. Liu, C. Zhang, J. Guo, Y. Zhang, H. Que, K. Deng, Z. Bai, J. Liu, G. Zhang, J. Wang, Y. Wu, C. Liu, J. Wang, L. Qu, W. Su, and B. Zheng · 2024
Cited alongside, same era.
LLaMAX: Scaling linguistic horizons of LLM by enhancing translation capabilities beyond 100 languages
Y. Lu, W. Zhu, L. Li, Y. Qiao, and F. Yuan · 2024
Cited alongside, same era.
X. Zhang, Y. Chen, S. Hu, Z. Xu, J. Chen, M. Hao, X. Han, Z. Thai, S. Wang, Z. Liu, and M. Sun · 2024
Later among the works it cites.
From local to global: A graph rag approach to query-focused summarization, 2025
D. Edge, H. Trinh, N. Cheng, J. Bradley, A. Chao, A. Mody, S. Truitt, D. Metropolitansky, R. O. Ness, and J. Larson · 2025
Closest in time.
Memorag: Boosting long context processing with global memory-enhanced retrieval augmentation
H. Qian, Z. Liu, P. Zhang, K. Mao, D. Lian, Z. Dou, and T. Huang · 2025
Closest in time.
Qwen2.5 technical report, 2025
Qwen, :, A. Yang, B. Yang, B. Zhang, B. Hui, B. Zheng, B. Yu, C. Li, D. Liu, F. Huang, H. Wei, H. Lin, J. Yang, J. Tu, J. Zhang, J. Yang, J. Yang, J. Zhou, J. Lin, K. Dang, K. Lu, K. Bao, K. Yang, L. Yu, M. Li, M. Xue, P. Zhang, Q. Zhu, R. Men, R. Lin, T. Li, T. Tang, T. Xia, X. Ren, X. Ren, Y. Fan, Y. Su, Y. Zhang, Y. Wan, Y. Liu, Z. Cui, Z. Zhang, and Z. Qiu · 2025
Closest in time.
Limitations of the llm-as-a-judge approach for evaluating llm outputs in expert knowledge tasks
A. Szymanski, N. Ziems, H. A. Eicher-Miller, T. J.-J. Li, M. Jiang, and R. A. Metoyer · 2025
Closest in time.
Is relevance propagated fro retriever to generator in rag?
F. Tian, D. Ganguly, and C. Macdonald · 2025
Closest in time.
NovelQA: Benchmarking question answering on documents exceeding 200k tokens
C. Wang, R. Ning, B. Pan, T. Wu, Q. Guo, C. Deng, G. Bao, X. Hu, Z. Zhang, Q. Wang, and Y. Zhang · 2025
Closest in time.
Bring your own knowledge: A survey of methods for llm knowledge expansion, 2025
M. Wang, A. Stoll, L. Lange, H. Adel, H. Schütze, and J. Strötgen · 2025
Closest in time.
Justice or prejudice? quantifying biases in LLM-as-a-judge
J. Ye, Y. Wang, Y. Huang, D. Chen, Q. Zhang, N. Moniz, T. Gao, W. Geyer, C. Huang, P.-Y. Chen, N. V. Chawla, and X. Zhang · 2025
Closest in time.
In-depth analysis of graph-based rag in a unified framework, 2025
Y. Zhou, Y. Su, Y. Sun, S. Wang, T. Wang, R. He, Y. Zhang, S. Liang, X. Liu, Y. Ma, and Y. Fang · 2025
Closest in time.