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Large Language Models (LLMs) may suffer from hallucinations in real-world applications due to the lack of relevant knowledge.
Pullnet: Open domain question answering with iterative retrieval on knowledge bases and text
Sun, H.; Bedrax-Weiss, T.; and Cohen, W. W. 2019 · 1904
Earlier work this paper cites.
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
Earlier work this paper cites.
Semantic parsing on freebase from question-answer pairs
Berant, J.; Chou, A.; Frostig, R.; and Liang, P. 2013 · 2013
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Key-Value Memory Networks for Directly Reading Documents
Miller, A.; Fisch, A.; Dodge, J.; Karimi, A.-H.; Bordes, A.; and Weston, J. 2016 · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Sun, H.; Dhingra, B.; Zaheer, M.; Mazaitis, K.; Salakhutdinov, R.; and Cohen, W. 2018 · 2018
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The Web as a Knowledge-Base for Answering Complex Questions
Talmor, A.; and Berant, J. 2018 · 2018
Earlier work this paper cites.
Variational reasoning for question answering with knowledge graph
Zhang, Y.; Dai, H.; Kozareva, Z.; Smola, A.; and Song, L. 2018 · 2018
Earlier work this paper cites.
Improving multi-hop question answering over knowledge graphs using knowledge base embeddings
Saxena, A.; Tripathi, A.; and Talukdar, P. 2020 · 2020
Earlier work this paper cites.
Beyond iid: three levels of generalization for question answering on knowledge bases
Gu, Y.; Kase, S.; Vanni, M.; Sadler, B.; Liang, P.; Yan, X.; and Su, Y. 2021 · 2021
Earlier work this paper cites.
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
Earlier work this paper cites.
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph
Shi, J.; Cao, S.; Hou, L.; Li, J.; and Zhang, H. 2021 · 2021
Earlier work this paper cites.
A survey on in-context learning
Dong, Q.; Li, L.; Dai, D.; Zheng, C.; Wu, Z.; Chang, B.; Sun, X.; Xu, J.; and Sui, Z. 2022 · 2022
Earlier work this paper cites.
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
Ji, S.; Pan, S.; Cambria, E.; Marttinen, P.; and Yu, P. S. 2022 · 2022
Earlier work this paper cites.
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base
Shu, Y.; Yu, Z.; Li, Y.; Karlsson, B.; Ma, T.; Qu, Y.; and Lin, C.-Y. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Wei, J.; Wang, X.; Schuurmans, D.; Bosma, M.; Xia, F.; Chi, E.; Le, Q. V.; Zhou, D.; et al. 2022 · 2022
Earlier work this paper cites.
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
Ye, X.; Yavuz, S.; Hashimoto, K.; Zhou, Y.; and Xiong, C. 2022 · 2022
Earlier work this paper cites.
Achiam, J.; Adler, S.; Agarwal, S.; Ahmad, L.; Akkaya, I.; Aleman, F. L.; Almeida, D.; Altenschmidt, J.; Altman, S.; Anadkat, S.; et al. 2023 · 2023
Earlier work this paper cites.
Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering
Baek, J.; Aji, A.; and Saffari, A. 2023 · 2023
Earlier work this paper cites.
Complex query answering on eventuality knowledge graph with implicit logical constraints
Bai, J.; Liu, X.; Wang, W.; Luo, C.; and Song, Y. 2023 · 2023
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ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
Chan, C.-M.; Chen, W.; Su, Y.; Yu, J.; Xue, W.; Zhang, S.; Fu, J.; and Liu, Z. 2023 · 2023
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Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality
Chiang, W.-L.; Li, Z.; Lin, Z.; Sheng, Y.; Wu, Z.; Zhang, H.; Zheng, L.; Zhuang, S.; Zhuang, Y.; Gonzalez, J. E.; Stoica, I.; and Xing, E. P. 2023 · 2023
Cited alongside, same era.
Lifelong embedding learning and transfer for growing knowledge graphs
Cui, Y.; Wang, Y.; Sun, Z.; Liu, W.; Jiang, Y.; Han, K.; and Hu, W. 2023 · 2023
Cited alongside, same era.
Improving factuality and reasoning in language models through multiagent debate
Du, Y.; Li, S.; Torralba, A.; Tenenbaum, J. B.; and Mordatch, I. 2023 · 2023
Cited alongside, same era.
Exploring collaboration mechanisms for llm agents: A social psychology view
Zhang, J.; Xu, X.; and Deng, S. 2023 · 2023
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Siren’s song in the AI ocean: a survey on hallucination in large language models
Zhang, Y.; Li, Y.; Cui, L.; Cai, D.; Liu, L.; Fu, T.; Huang, X.; Zhao, E.; Zhang, Y.; Chen, Y.; et al. 2023 · 2023
Later among the works it cites.
Mitigating large language model hallucinations via autonomous knowledge graph-based retrofitting
Guan, X.; Liu, Y.; Lin, H.; Lu, Y.; He, B.; Han, X.; and Sun, L. 2024 · 2024
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Detecting and preventing hallucinations in large vision language models
Gunjal, A.; Yin, J.; and Bas, E. 2024 · 2024
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Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs
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Don’t Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
Gu, Y.; Deng, X.; and Su, Y. 2023 · 2023
Cited alongside, same era.
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models
Kim, J.; Kwon, Y.; Jo, Y.; and Choi, E. 2023 · 2023
Cited alongside, same era.
Better zero-shot reasoning with role-play prompting
Kong, A.; Zhao, S.; Chen, H.; Li, Q.; Qin, Y.; Sun, R.; and Zhou, X. 2023 · 2023
Cited alongside, same era.
Encouraging divergent thinking in large language models through multi-agent debate
Liang, T.; He, Z.; Jiao, W.; Wang, X.; Wang, Y.; Wang, R.; Yang, Y.; Tu, Z.; and Shi, S. 2023 · 2023
Cited alongside, same era.
TECHS: Temporal logical graph networks for explainable extrapolation reasoning
Lin, Q.; Liu, J.; Mao, R.; Xu, F.; and Cambria, E. 2023 · 2023
Cited alongside, same era.
AgentBench: Evaluating LLMs as Agents
Liu, X.; Yu, H.; Zhang, H.; Xu, Y.; Lei, X.; Lai, H.; Gu, Y.; Ding, H.; Men, K.; Yang, K.; et al. 2023 · 2023
Cited alongside, same era.
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
Luo, L.; Li, Y.-F.; Haf, R.; and Pan, S. 2023 · 2023
Cited alongside, same era.
Hu, N.; Chen, J.; Wu, Y.; Qi, G.; Bi, S.; Wu, T.; and Pan, J. Z. 2024 · 2024
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KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph
Jiang, J.; Zhou, K.; Zhao, W. X.; Song, Y.; Zhu, C.; Zhu, H.; and Wen, J.-R. 2024 · 2024
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Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
Kirk, J. R.; Wray, R. E.; Lindes, P.; and Laird, J. E. 2024 · 2024
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Flexkbqa: A flexible llm-powered framework for few-shot knowledge base question answering
Li, Z.; Fan, S.; Gu, Y.; Li, X.; Duan, Z.; Dong, B.; Liu, N.; and Wang, J. 2024 · 2024
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A survey on hallucination in large vision-language models
Liu, H.; Xue, W.; Chen, Y.; Chen, D.; Zhao, X.; Wang, K.; Hou, L.; Li, R.; and Peng, W. 2024 · 2024
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Code-style in-context learning for knowledge-based question answering
Nie, Z.; Zhang, R.; Wang, Z.; and Liu, X. 2024 · 2024
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Integrating Knowledge Graph Data with Large Language Models for Explainable Inference
Quintero-Narvaez, C. E.; and Monroy, R. 2024 · 2024
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Velma: Verbalization embodiment of llm agents for vision and language navigation in street view
Schumann, R.; Zhu, W.; Feng, W.; Fu, T.-J.; Riezler, S.; and Wang, W. Y. 2024 · 2024
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On the Decision-Making Abilities in Role-Playing using Large Language Models
Shen, C.; Xie, G.; Zhang, X.; and Xu, J. 2024 · 2024
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Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Sun, J.; Xu, C.; Tang, L.; Wang, S.; Lin, C.; Gong, Y.; Ni, L.; Shum, H.-Y.; and Guo, J. 2024 · 2024
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Toroghi, A.; Guo, W.; Pour, M. M. A.; and Sanner, S. 2024 · 2024
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Contrastive Decoding Reduces Hallucinations in Large Multilingual Machine Translation Models
Waldendorf, J.; Haddow, B.; and Birch, A. 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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Xiong, G.; Bao, J.; and Zhao, W. 2024 · 2024
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Expel: Llm agents are experiential learners
Zhao, A.; Huang, D.; Xu, Q.; Lin, M.; Liu, Y.-J.; and Huang, G. 2024 · 2024
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