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Recently, Knowledge Graphs (KGs) have been successfully coupled with Large Language Models (LLMs) to mitigate their hallucinations and enhance their reasoning capability, such as in KG-based retrieval-augmented frameworks.
Freebase: a collaboratively created graph database for structuring human knowledge
Bollacker, K. D.; Evans, C.; Paritosh, P. K.; Sturge, T.; and Taylor, J. 2008 · 2008
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A tutorial on conformal prediction
Shafer, G.; and Vovk, V. 2008 · 2008
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The value of semantic parse labeling for knowledge base question answering
Yih, W.-t.; Richardson, M.; Meek, C.; Chang, M.-W.; and Suh, J. 2016 · 2016
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The web as a knowledge-base for answering complex questions
Talmor, A.; and Berant, J. 2018 · 2018
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A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Angelopoulos, A. N.; and Bates, S. 2021 · 2021
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Learn then test: Calibrating predictive algorithms to achieve risk control
Angelopoulos, A. N.; Bates, S.; Candès, E. J.; Jordan, M. I.; and Lei, L. 2021 · 2021
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Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals
He, G.; Lan, Y.; Jiang, J.; Zhao, W. X.; and Wen, J.-R. 2021 · 2021
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TruthfulQA: Measuring How Models Mimic Human Falsehoods
Lin, S.; Hilton, J.; and Evans, O. 2021 · 2021
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KEPLER: A unified model for knowledge embedding and pre-trained language representation
Wang, X.; Gao, T.; Zhu, Z.; Zhang, Z.; Liu, Z.; Li, J.; and Tang, J. 2021 · 2021
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Towards Reasoning in Large Language Models: A Survey
Huang, J.; and Chang, K. C.-C. 2022 · 2022
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Complex knowledge base question answering: A survey
Lan, Y.; He, G.; Jiang, J.; Jiang, J.; Zhao, W. X.; and Wen, J.-R. 2022 · 2022
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TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Shu, Y.; Yu, Z.; Li, Y.; Karlsson, B. F.; Ma, T.; Qu, Y.; and Lin, C.-Y. 2022 · 2022
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UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
Xie, T.; Wu, C. H.; Shi, P.; Zhong, R.; Scholak, T.; Yasunaga, M.; Wu, C.-S.; Zhong, M.; Yin, P.; Wang, S. I.; Zhong, V.; Wang, B.; Li, C.; Boyle, C.; Ni, A.; Yao, Z.; Radev, D.; Xiong, C.; Kong, L.; Zhang, R.; Smith, N. A.; Zettlemoyer, L.; and Yu, T. 2022 · 2022
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Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering
Baek, J.; Aji, A. F.; and Saffari, A. 2023 · 2023
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Are Emergent Abilities of Large Language Models a Mirage?
Fu, Y.; Peng, H.; Khot, T.; Sabharwal, A.; Clark, P.; and Choi, Y. 2023 · 2023
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Wei, J.; Wang, X.; Schuurmans, D.; Bosma, M.; Ichter, B.; Xia, F.; Chi, E. H.; Le, Q. V.; and Zhou, D. 2022 · 2023
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Yang, L.; Chen, H.; Li, Z.; Ding, X.; and Wu, X. 2023 · 2023
Later among the works it cites.
DeCAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
Yu, D.; Zhang, S.; Ng, P.; Zhu, H.; Li, A. H.; Wang, J.; Hu, Y.; Wang, W.; Wang, Z.; and Xiang, B. 2023 · 2023
Later among the works it cites.
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
Li, S.; Park, S.; Lee, I.; and Bastani, O. 2024 · 2024
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Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
Luo, L.; Li, Y.-F.; Haffari, G.; and Pan, S. 2024 · 2024
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Huang, L.; Yu, W.; Ma, W.; Zhong, W.; Feng, Z.; Wang, H.; Chen, Q.; Peng, W.; Feng, X.; Qin, B.; and Liu, T. 2023b · 2023
Cited alongside, same era.
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
Jiang, J.; Zhou, K.; Dong, Z.; Ye, K.; Zhao, W. X.; and Wen, J.-R. 2023 · 2023
Cited alongside, same era.
Conformal Prediction with Large Language Models for Multi-Choice Question Answering
Kumar, B.; Lu, C.; Gupta, G.; Palepu, A.; Bellamy, D.; Raskar, R.; and Beam, A. 2023 · 2023
Cited alongside, same era.
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases
Li, X.; Zhao, R.; Chia, Y. K.; Ding, B.; Bing, L.; Joty, S.; and Poria, S. 2023 · 2023
Cited alongside, same era.
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
Lin, Z.; Trivedi, S.; and Sun, J. 2023 · 2023
Cited alongside, same era.
Quach, V.; Fisch, A.; Schuster, T.; Yala, A.; Sohn, J. H.; Jaakkola, T. S.; and Barzilay, R. 2023 · 2023
Cited alongside, same era.
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph
Sun, J.; Xu, C.; Tang, L.; Wang, S.; Lin, C.; Gong, Y.; Shum, H.-Y.; and Guo, J. 2023 · 2023
Cited alongside, same era.
Conformal prediction for deep classifier via label ranking
Huang, J.; Xi, H.; Zhang, L.; Yao, H.; Qiu, Y.; and Wei, H. 2023a
Cited in the paper.
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Mündler, N.; He, J.; Jenko, S.; and Vechev, M. 2024 · 2024
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GPT-4: A Large-Scale Multimodal Model for Text and Image Generation
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CONFLARE: CONFormal LArge language model REtrieval
Rouzrokh, P.; Faghani, S.; Gamble, C. U.; Shariatnia, M.; and Erickson, B. J. 2024 · 2024
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API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
Su, J.; Luo, J.; Wang, H.; and Cheng, L. 2024 · 2024
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Knowledge Graph Prompting for Multi-Document Question Answering
Wang, Y.; Lipka, N.; Rossi, R. A.; Siu, A.; Zhang, R.; and Derr, T. 2024 · 2024
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Benchmarking LLMs via Uncertainty Quantification
Ye, F.; Yang, M.; Pang, J.; Wang, L.; Wong, D. F.; Yilmaz, E.; Shi, S.; and Tu, Z. 2024 · 2024
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