Towards Understanding In-Context Learning with Contrastive
Demonstrations and Saliency Maps

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Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

11 July 2023

Fuxiao Liu

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Papers citing "Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps"

18 / 18 papers shown

Title
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 283 34 0 30 Aug 2024
Evaluating the Reliability of Self-Explanations in Large Language Models Korbinian Randl John Pavlopoulos Aron Henriksson Tony Lindgren LRM 108 1 0 19 Jul 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration Amanda Bertsch Maor Ivgi Uri Alon Jonathan Berant Matthew R. Gormley Matthew R. Gormley Graham Neubig ReLM AIMat 176 80 0 30 Apr 2024
A Survey on Multimodal Large Language Models Shukang Yin Chaoyou Fu Sirui Zhao Ke Li Xing Sun Tong Xu Enhong Chen MLLM LRM 133 607 0 23 Jun 2023
DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents Fuxiao Liu Hao Tan Chris Tensmeyer CLIP VLM 84 18 0 09 Jun 2023
Larger language models do in-context learning differently Jerry W. Wei Jason W. Wei Yi Tay Dustin Tran Albert Webson ... Xinyun Chen Hanxiao Liu Da Huang Denny Zhou Tengyu Ma ReLM LRM 104 374 0 07 Mar 2023
What learning algorithm is in-context learning? Investigations with linear models Ekin Akyürek Dale Schuurmans Jacob Andreas Tengyu Ma Denny Zhou 102 493 0 28 Nov 2022
Complementary Explanations for Effective In-Context Learning Xi Ye Srini Iyer Asli Celikyilmaz Ves Stoyanov Greg Durrett Ramakanth Pasunuru ReLM LRM 97 96 0 25 Nov 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 529 6,293 0 05 Apr 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 886 13,207 0 04 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 181 1,498 0 25 Feb 2022
An Explanation of In-context Learning as Implicit Bayesian Inference Sang Michael Xie Aditi Raghunathan Percy Liang Tengyu Ma ReLM BDL VPVLM LRM 225 764 0 03 Nov 2021
Visual News: Benchmark and Challenges in News Image Captioning Fuxiao Liu Yinghan Wang Tianlu Wang Vicente Ordonez VLM 69 116 0 08 Oct 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 886 42,463 0 28 May 2020
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 207 2,236 0 12 Jun 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,024 0 04 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,071 0 16 Feb 2016
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 314 7,321 0 20 Dec 2013

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