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Large Language Models (LLMs) are nowadays prompted for a wide variety of tasks.
An atlas of graphs
Ronald C Read and Robin J Wilson · 1998
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Collective dynamics of ‘small-world’networks
Duncan J Watts and Steven H Strogatz · 1998
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Statistical mechanics of complex networks
Réka Albert and Albert-László Barabási · 2002
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A study of graph spectra for comparing graphs and trees
Richard C. Wilson and Ping Zhu · 2008
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A survey of graph edit distance
Xinbo Gao, Bing Xiao, Dacheng Tao, and Xuelong Li · 2010
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Konect: the koblenz network collection
Jérôme Kunegis · 2013
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SNAP Datasets: Stanford large network dataset collection
Jure Leskovec and Andrej Krevl · 2014
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Netlsd: hearing the shape of a graph
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander Bronstein, and Emmanuel Müller · 2018
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Sarah Ouadah, Stéphane Robin, and Pierre Latouche · 2019
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The pile: An 800gb dataset of diverse text for language modeling
Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, et al · 2020
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Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering
Ankit Pal, Logesh Kumar Umapathi, and Malaikannan Sankarasubbu · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
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Can LLMs generate random numbers? evaluating LLM sampling in controlled domains
Aspen K Hopkins, Alex Renda, and Michael Carbin · 2023
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Reconstructing networks from text using large language models (llms)
Rathin Jeyaram, Robert N Ward, and Marc Santolini · 2023
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung · 2023
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Are emergent abilities of large language models a mirage?
Rylan Schaeffer, Brando Miranda, and Sanmi Koyejo · 2023
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Emergent analogical reasoning in large language models
Taylor Webb, Keith J Holyoak, and Hongjing Lu · 2023
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models, 2023
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou · 2023
Cited alongside, same era.
Siren’s song in the ai ocean: a survey on hallucination in large language models
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, et al · 2023
Cited alongside, same era.
https://sdk.vercel.ai
The ai toolkit for typescript · 2024
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Automatic prompt selection for large language models, 2024
Viet-Tung Do, Van-Khanh Hoang, Duy-Hung Nguyen, Shahab Sabahi, Jeff Yang, Hajime Hotta, Minh-Tien Nguyen, and Hung Le · 2024
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Quantifying the uncertainty of llm hallucination spreading in complex adaptive social networks
Guozhi Hao, Jun Wu, Qianqian Pan, and Rosario Morello · 2024
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A comparison of large language model and human performance on random number generation tasks, 2024
Rachel M. Harrison · 2024
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How random is random? evaluating the randomness and humaness of llms’ coin flips, 2024
Katherine Van Koevering and Jon Kleinberg · 2024
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https://web.archive.org/web/20240820123721/https://github.com/vectara/hallucination-leaderboard , a
Hallucination leaderboard · 2024
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https://chatgpt.com
Chatgpt · 2024
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https://gemini.google.com
Gemini · 2024
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https://huggingface.co/chat/
Huggingchat · 2024
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https://github.com/benedekrozemberczki/karateclub
Karate club · 2024
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https://chat.mistral.ai
Mistal ai · 2024
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https://networkx.org/
Networkx, network analysis in python · 2024
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LLMs hallucinate graphs too: a structural perspective
Erwan Le Merrer and Gilles Trédan · 2024
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State of what art? a call for multi-prompt llm evaluation, 2024
Moran Mizrahi, Guy Kaplan, Dan Malkin, Rotem Dror, Dafna Shahaf, and Gabriel Stanovsky · 2024
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David Nadeau, Mike Kroutikov, Karen McNeil, and Simon Baribeau · 2024
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Leveraging graph structures to detect hallucinations in large language models
Noa Nonkes, Sergei Agaronian, Evangelos Kanoulas, and Roxana Petcu · 2024
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Grapheval: A knowledge-graph based llm hallucination evaluation framework
Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic, and Juba Nait Saada · 2024
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A comprehensive survey of hallucination mitigation techniques in large language models, 2024
S. M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, and Amitava Das · 2024
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Hot or cold? adaptive temperature sampling for code generation with large language models
Yuqi Zhu, Jia Li, Ge Li, YunFei Zhao, Zhi Jin, and Hong Mei · 2024
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https://web.archive.org/web/20250327131434/https://github.com/vectara/hallucination-leaderboard , b
Hallucination leaderboard · 2025
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