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Visual Agents as Fast and Slow Thinkers

16 August 2024

Zhenting Wang

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Papers citing "Visual Agents as Fast and Slow Thinkers"

20 / 120 papers shown

Title
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 519 3,703 0 21 Mar 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 883 13,148 0 04 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 547 4,398 0 28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 823 9,644 0 28 Jan 2022
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Zhao Yang Jiaqi Wang Yansong Tang Kai-xiang Chen Hengshuang Zhao Philip Torr 210 328 0 04 Dec 2021
PartImageNet: A Large, High-Quality Dataset of Parts Ju He Shuo Yang Shaokang Yang Adam Kortylewski Xiaoding Yuan Jieneng Chen Shuai Liu Cheng Yang Qihang Yu Alan Yuille 3DV MLLM 3DH VLM 96 98 0 02 Dec 2021
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 323 4,533 0 27 Oct 2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning Maxwell Nye Michael Henry Tessler J. Tenenbaum Brenden M. Lake 60 119 0 06 Jul 2021
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers Hila Chefer Shir Gur Lior Wolf ViT 64 325 0 29 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,731 0 26 Feb 2021
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 844 42,332 0 28 May 2020
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 124 600 0 07 Apr 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 608 4,893 0 23 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 526 42,559 0 03 Dec 2019
Towards VQA Models That Can Read Amanpreet Singh Vivek Natarajan Meet Shah Yu Jiang Xinlei Chen Dhruv Batra Devi Parikh Marcus Rohrbach EgoV 105 1,253 0 18 Apr 2019
COCO-Stuff: Thing and Stuff Classes in Context Holger Caesar J. Uijlings V. Ferrari 137 1,394 0 12 Dec 2016
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 345 3,270 0 02 Dec 2016
Grounding of Textual Phrases in Images by Reconstruction Anna Rohrbach Marcus Rohrbach Ronghang Hu Trevor Darrell Bernt Schiele 80 497 0 12 Nov 2015
Generation and Comprehension of Unambiguous Object Descriptions Junhua Mao Jonathan Huang Alexander Toshev Oana-Maria Camburu Alan Yuille Kevin Patrick Murphy ObjD 131 1,357 0 07 Nov 2015
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts Xianjie Chen Roozbeh Mottaghi Xiaobai Liu Sanja Fidler R. Urtasun Alan Yuille 98 642 0 08 Jun 2014