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"Sure, I am happy to generate a story for you: Captain Lyra stood at the helm of her trusty ship, the Maelstrom's Fury, gazing out at the endless sea.
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" why should i trust you?" explaining the predictions of any classifier
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Neal J Roese and Kai Epstude · 2017
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Woulda, coulda, shoulda: Counterfactually-guided policy search
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Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, and Been Kim · 2018
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Language models are unsupervised multitask learners
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Michael Oberst and David Sontag · 2019
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Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, and Yejin Choi · 2019
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Hellaswag: Can a machine really finish your sentence?
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, and Yejin Choi · 2019
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Pytorch: An imperative style, high-performance deep learning library
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Back to the future: Unsupervised backprop-based decoding for counterfactual and abductive commonsense reasoning
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D Hwang, Ronan Le Bras, Antoine Bosselut, and Yejin Choi · 2020
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Implicit representations of meaning in neural language models
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The magic of if: Investigating causal reasoning abilities in large language models of code
Xiao Liu, Da Yin, Chen Zhang, Yansong Feng, and Dongyan Zhao · 2023
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Generating commonsense counterfactuals for stable relation extraction
Xin Miao, Yongqi Li, and Tieyun Qian · 2023
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Lmsys-chat-1m: A large-scale real-world llm conversation dataset
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Counterfactual explanations in sequential decision making under uncertainty
Stratis Tsirtsis, Abir De, and Manuel Gomez-Rodriguez · 2021
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Learning generalized gumbel-max causal mechanisms
Guy Lorberbom, Daniel D Johnson, Chris J Maddison, Daniel Tarlow, and Tamir Hazan · 2021
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Unsupervised editing for counterfactual stories
Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, and Lei Li · 2022
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Emergent world representations: Exploring a sequence model trained on a synthetic task
Kenneth Li, Aspen K Hopkins, David Bau, Fernanda Viégas, Hanspeter Pfister, and Martin Wattenberg · 2022
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Mapping language models to grounded conceptual spaces
Roma Patel and Ellie Pavlick · 2022
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Crass: A novel data set and benchmark to test counterfactual reasoning of large language models
Jörg Frohberg and Frank Binder · 2022
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Counterfactual temporal point processes
Kimia Noorbakhsh and Manuel Gomez-Rodriguez · 2022
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Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, and Hao Zhang · 2023
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Counterfactual analysis in dynamic latent state models
Martin B Haugh and Raghav Singal · 2023
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Towards a computational model of responsibility judgments in sequential human-ai collaboration
Stratis Tsirtsis, Manuel Gomez Rodriguez, and Tobias Gerstenberg · 2024
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A survey on natural language counterfactual generation
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Llms for generating and evaluating counterfactuals: A comprehensive study
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Ceval: A benchmark for evaluating counterfactual text generation
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Evaluating the world model implicit in a generative model
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Large language models and causal inference in collaboration: A comprehensive survey
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Language models as causal effect generators
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Mechanism design for large language models
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