Fetching the paper…
Reading the bibliography…
Emotional intelligence significantly impacts our daily behaviors and interactions.
Social cognition
Susan T Fiske and Shelley E Taylor · 1991
Earlier work this paper cites.
Health promotion from the perspective of social cognitive theory
Albert Bandura · 1998
Earlier work this paper cites.
How emotions influence performance in competitive sports
Richard S Lazarus · 2000
Earlier work this paper cites.
The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions
Barbara L Fredrickson · 2001
Earlier work this paper cites.
Emotion drives attention: detecting the snake in the grass
Arne Öhman, Anders Flykt, and Francisco Esteves · 2001
Earlier work this paper cites.
Academic emotions in students’ self-regulated learning and achievement: A program of qualitative and quantitative research
Reinhard Pekrun, Thomas Goetz, Wolfram Titz, and Raymond P Perry · 2002
Earlier work this paper cites.
Negative self-efficacy and goal effects revisited
Albert Bandura and Edwin A Locke · 2003
Earlier work this paper cites.
Applying social cognitive constructs of motivation to enhance student success in online distance education
Marios Miltiadou and Wilhelmina C Savenye · 2003
Earlier work this paper cites.
Core affect and the psychological construction of emotion
James A Russell · 2003
Earlier work this paper cites.
Self-efficacy
Peter A Heslin and Ute-Christine Klehe · 2006
Earlier work this paper cites.
Self-monitoring in social interaction: The centrality of self-affect
William Ickes, Renee Holloway, Linda L Stinson, and Tiffany Graham Hoodenpyle · 2006
Earlier work this paper cites.
The psychology of emotion regulation: An integrative review
Sander L Koole · 2009
Earlier work this paper cites.
The positive psychology of emotional intelligence
Peter Salovey, John D Mayer, David Caruso, and Seung Hee Yoo · 2009
Earlier work this paper cites.
On the functional properties of perceived self-efficacy revisited, 2012
Albert Bandura · 2012
Cited alongside, same era.
Health promotion from the perspective of social cognitive theory, 2013
Albert Bandura · 2013
Cited alongside, same era.
Emotion and decision making
Jennifer S Lerner, Ye Li, Piercarlo Valdesolo, and Karim S Kassam · 2015
Cited alongside, same era.
Social cognitive theory
Aleksandra Luszczynska and Ralf Schwarzer · 2015
Cited alongside, same era.
The five factor model of personality and emotion regulation: A meta-analysis
Urszula Barańczuk · 2019
Cited alongside, same era.
Truthfulqa: Measuring how models mimic human falsehoods
Stephanie Lin, Jacob Hilton, and Owain Evans · 2021
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou · 2022
Later among the works it cites.
React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2022
Later among the works it cites.
Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
Closest in time.
A survey on in-context learning, 2023
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, and Zhifang Sui · 2023
Closest in time.
What can transformers learn in-context? a case study of simple function classes, 2023
Shivam Garg, Dimitris Tsipras, Percy Liang, and Gregory Valiant · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Self-efficacy and human motivation
Dale H Schunk and Maria K DiBenedetto · 2021
Cited alongside, same era.
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 Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei · 2022
Cited alongside, same era.
Instruction induction: From few examples to natural language task descriptions, 2022
Or Honovich, Uri Shaham, Samuel R. Bowman, and Omer Levy · 2022
Cited alongside, same era.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
Cited alongside, same era.
BLOOM: A 176b-parameter open-access multilingual language model
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, and et al · 2022
Cited alongside, same era.
Challenging big-bench tasks and whether chain-of-thought can solve them, 2022
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, and Jason Wei · 2022
Cited alongside, same era.
Closest in time.
Gpt-4 technical report, 2023
OpenAI · 2023
Closest in time.
Emotional intelligence of large language models
Xuena Wang, Xueting Li, Zi Yin, Yue Wu, and Liu Jia · 2023
Closest in time.
Cvalues: Measuring the values of chinese large language models from safety to responsibility, 2023
Guohai Xu, Jiayi Liu, Ming Yan, Haotian Xu, Jinghui Si, Zhuoran Zhou, Peng Yi, Xing Gao, Jitao Sang, Rong Zhang, Ji Zhang, Chao Peng, Fei Huang, and Jingren Zhou · 2023
Closest in time.
Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, and Karthik Narasimhan · 2023
Closest in time.
Judging llm-as-a-judge with mt-bench and chatbot arena, 2023
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica · 2023
Closest in time.
Large language models are human-level prompt engineers, 2023
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, and Jimmy Ba · 2023
Closest in time.
Promptbench: Towards evaluating the robustness of large language models on adversarial prompts
Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, et al · 2023
Closest in time.