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Large Language Models (LLMs) have shown remarkable capabilities in zero-shot learning applications, generating responses to queries using only pre-training information without the need for additional fine-tuning.
Forming impressions of personality
Solomon E Asch. 1946 · 1946
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Primacy versus recency in retention of information and opinion change
William D Crano. 1977 · 1977
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The recency effect: Implicit learning with explicit retrieval?
Alan D Baddeley and Graham Hitch. 1993 · 1993
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The jensen-shannon divergence
ML Menéndez, JA Pardo, L Pardo, and MC Pardo. 1997 · 1997
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A recency-based account of the primacy effect in free recall
Lydia Tan and Geoff Ward. 2000 · 2000
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton. 2008 · 2008
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On the use of the adjusted rand index as a metric for evaluating supervised classification
Jorge M Santos and Mark Embrechts. 2009 · 2009
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Primacy effect or recency effect? a long-term memory test of super bowl commercials
Cong Li. 2010 · 2010
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Position-aware attention and supervised data improve slot filling
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D Manning. 2017 · 2017
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Efficient intent detection with dual sentence encoders
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, and Pontus Stenetorp. 2021 · 2021
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Re-tacred: Addressing shortcomings of the tacred dataset
George Stoica, Emmanouil Antonios Platanios, and Barnabás Póczos. 2021 · 2021
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Black box adversarial prompting for foundation models
Natalie Maus, Patrick Chao, Eric Wong, and Jacob R Gardner. 2023 · 2023
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Large language models sensitivity to the order of options in multiple-choice questions
Pouya Pezeshkpour and Estevam Hruschka. 2023 · 2023
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Melanie Sclar, Yejin Choi, Yulia Tsvetkov, and Alane Suhr. 2023 · 2023
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Do llms exhibit human-like response biases? a case study in survey design
Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu, Ameet Talwalkar, and Graham Neubig. 2023 · 2023
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Primacy effect of chatgpt
Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, and Bryan Hooi. 2023 · 2023
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Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
Cited alongside, same era.
Massive: A 1m-example multilingual natural language understanding dataset with 51 typologically-diverse languages
Jack FitzGerald, Christopher Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, et al. 2023 · 2023
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Aspects of human memory and large language models
Romuald A Janik. 2023 · 2023
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Solar 10.7b: Scaling large language models with simple yet effective depth up-scaling
Dahyun Kim, Chanjun Park, Sanghoon Kim, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, and Sunghun Kim. 2023 · 2023
Cited alongside, same era.
Large language models are not robust multiple choice selectors
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, and Minlie Huang. 2023a
Cited in the paper.
On large language models’ selection bias in multi-choice questions
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, and Minlie Huang. 2023b
Cited in the paper.
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Exploring the cognitive knowledge structure of large language models: An educational diagnostic assessment approach
Zheyuan Zhang, Jifan Yu, Juanzi Li, and Lei Hou. 2023 · 2023
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Universal and transferable adversarial attacks on aligned language models
Andy Zou, Zifan Wang, J Zico Kolter, and Matt Fredrikson. 2023 · 2023
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Compensatory biases under cognitive load: Reducing selection bias in large language models
Jonathan E Eicher and RF Irgolič. 2024 · 2024
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sdpo: Don’t use your data all at once
Dahyun Kim, Yungi Kim, Wonho Song, Hyeonwoo Kim, Yunsu Kim, Sanghoon Kim, and Chanjun Park. 2024 · 2024
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