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To evaluate knowledge in large language models (LLMs), current methods query the model and then evaluate its generated responses.
The importance of nonverbal communication in the courtroom
Martin S Remland. 1994 · 1994
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Okapi at trec-3
Stephen E Robertson, Steve Walker, Susan Jones, Micheline M Hancock-Beaulieu, Mike Gatford, et al. 1995 · 1995
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Evaluating content selection in summarization: The pyramid method
Ani Nenkova and Rebecca Passonneau. 2004 · 2004
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A survey of named entity recognition and classification
David Nadeau and Satoshi Sekine. 2007 · 2007
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Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
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Fine-grained analysis of sentence embeddings using auxiliary prediction tasks
Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, and Yoav Goldberg. 2017 · 2017
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Understanding intermediate layers using linear classifier probes
Guillaume Alain and Yoshua Bengio. 2017 · 2017
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What do neural machine translation models learn about morphology?
Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, and James Glass. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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User’s guide to correlation coefficients
Haldun Akoglu. 2018 · 2018
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Correlation coefficients: Appropriate use and interpretation
Patrick Schober, Christa Boer, and Lothar Schwarte. 2018 · 2018
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A structural probe for finding syntax in word representations
John Hewitt and Christopher D. Manning. 2019 · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, and Sebastian Riedel. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Crowdsourcing lightweight pyramids for manual summary evaluation
Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, and Ido Dagan. 2019 · 2019
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On the interplay between fine-tuning and sentence-level probing for linguistic knowledge in pre-trained transformers
Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, and Dietrich Klakow. 2020 · 2020
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interpreting gpt: the logit lens
nostalgebraist. 2020 · 2020
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How much knowledge can you pack into the parameters of a language model?
Adam Roberts, Colin Raffel, and Noam Shazeer. 2020 · 2020
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Evaluating entity disambiguation and the role of popularity in retrieval-based NLP
Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, and Sameer Singh. 2021 · 2021
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Transformer feed-forward layers are key-value memories
Mor Geva, Roei Schuster, Jonathan Berant, and Omer Levy. 2021 · 2021
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Implicit representations of meaning in neural language models
Belinda Z. Li, Maxwell Nye, and Jacob Andreas. 2021 · 2021
Cited alongside, same era.
Finding a balanced degree of automation for summary evaluation
Shiyue Zhang and Mohit Bansal. 2021 · 2021
Cited alongside, same era.
Attributed question answering: Evaluation and modeling for attributed large language models
Bernd Bohnet, Vinh Q Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Massimiliano Ciaramita, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, et al. 2022 · 2022
Cited alongside, same era.
LoRA: Low-rank adaptation of large language models
Edward J Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022 · 2022
Cited alongside, same era.
A token-level reference-free hallucination detection benchmark for free-form text generation
Tianyu Liu, Yizhe Zhang, Chris Brockett, Yi Mao, Zhifang Sui, Weizhu Chen, and Bill Dolan. 2022 · 2022
Cited alongside, same era.
FActScore: Fine-grained atomic evaluation of factual precision in long form text generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Koh, Mohit Iyyer, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2023 · 2023
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Investigating semantic subspaces of transformer sentence embeddings through linear structural probing
Dmitry Nikolaev and Sebastian Padó. 2023 · 2023
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On early detection of hallucinations in factual question answering
Ben Snyder, Marius Moisescu, and Muhammad Bilal Zafar. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom. 2023 · 2023
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Locating and editing factual associations in GPT
Kevin Meng, David Bau, Alex J Andonian, and Yonatan Belinkov. 2022 · 2022
Cited alongside, same era.
Memorization without overfitting: Analyzing the training dynamics of large language models
Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, and Armen Aghajanyan. 2022 · 2022
Cited alongside, same era.
The internal state of an LLM knows when it’s lying
Amos Azaria and Tom Mitchell. 2023a · 2023
Cited alongside, same era.
The internal state of an LLM knows when it’s lying
Amos Azaria and Tom Mitchell. 2023b · 2023
Cited alongside, same era.
Pythia: a suite for analyzing large language models across training and scaling
Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, and Oskar Van Der Wal. 2023 · 2023
Cited alongside, same era.
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E. Gonzalez, Ion Stoica, and Eric P. Xing. 2023 · 2023
Cited alongside, same era.
Crawling the internal knowledge-base of language models
Roi Cohen, Mor Geva, Jonathan Berant, and Amir Globerson. 2023a · 2023
Cited alongside, same era.
Later among the works it cites.
Enhancing uncertainty-based hallucination detection with stronger focus
Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, and Luoyi Fu. 2023 · 2023
Later among the works it cites.
Evaluating the ripple effects of knowledge editing in language models
Roi Cohen, Eden Biran, Ori Yoran, Amir Globerson, and Mor Geva. 2024 · 2024
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The use of nonverbal communication when assessing witness credibility: a view from the bench
Vincent Denault, Chloé Leclerc, and Victoria Talwar. 2024 · 2024
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Patchscopes: A unifying framework for inspecting hidden representations of language models
Asma Ghandeharioun, Avi Caciularu, Adam Pearce, Lucas Dixon, and Mor Geva. 2024 · 2024
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I’ve got the "answer"! interpretation of llms hidden states in question answering
Valeriya Goloviznina and Evgeny Kotelnikov. 2024 · 2024
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Intrinsic evaluation of unlearning using parametric knowledge traces
Yihuai Hong, Lei Yu, Shauli Ravfogel, Haiqin Yang, and Mor Geva. 2024 · 2024
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Ravel: Evaluating interpretability methods on disentangling language model representations
Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, and Atticus Geiger. 2024 · 2024
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Estimating the hallucination rate of generative ai
Andrew Jesson, Nicolas Beltran-Velez, Quentin Chu, Sweta Karlekar, Jannik Kossen, Yarin Gal, John P. Cunningham, and David Blei. 2024 · 2024
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The geometry of truth: Emergent linear structure in large language model representations of true/false datasets
Samuel Marks and Max Tegmark. 2024 · 2024
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Can sensitive information be deleted from LLMs? objectives for defending against extraction attacks
Vaidehi Patil, Peter Hase, and Mohit Bansal. 2024 · 2024
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Locating and editing factual associations in mamba
Arnab Sen Sharma, David Atkinson, and David Bau. 2024 · 2024
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Unsupervised real-time hallucination detection based on the internal states of large language models
Weihang Su, Changyue Wang, Qingyao Ai, Yiran HU, Zhijing Wu, Yujia Zhou, and Yiqun Liu. 2024 · 2024
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Efficient streaming language models with attention sinks
Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, and Mike Lewis. 2024 · 2024
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Gal Yona, Roee Aharoni, and Mor Geva. 2024 · 2024
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Mechanisms of non-factual hallucinations in language models
Lei Yu, Meng Cao, Jackie Chi Kit Cheung, and Yue Dong. 2024 · 2024
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Attention satisfies: A constraint-satisfaction lens on factual errors of language models
Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, and Besmira Nushi. 2024 · 2024
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