Semantic Composition in Visually Grounded Language Models

15 May 2023

Papers citing "Semantic Composition in Visually Grounded Language Models"

9 / 9 papers shown

Title
Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP Vedant Palit Rohan Pandey Aryaman Arora Paul Pu Liang 34 20 0 27 Aug 2023
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality Anuj Diwan Layne Berry Eunsol Choi David Harwath Kyle Mahowald CoGe 108 41 0 01 Nov 2022
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies? Mitja Nikolaus Emmanuelle Salin Stéphane Ayache Abdellah Fourtassi Benoit Favre 16 13 0 21 Oct 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 392 4,137 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 367 8,495 0 28 Jan 2022
Causal Distillation for Language Models Zhengxuan Wu Atticus Geiger J. Rozner Elisa Kreiss Hanson Lu Thomas F. Icard Christopher Potts Noah D. Goodman 89 25 0 05 Dec 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,781 0 24 Feb 2021
Improving BERT with Syntax-aware Local Attention Zhongli Li Qingyu Zhou Chao Li Ke Xu Yunbo Cao 61 44 0 30 Dec 2020
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 201 882 0 03 May 2018