Behavioral Bias of Vision-Language Models: A Behavioral Finance View Anonymous
Marah Abdin, Ammar Sam Ade Jacobs, Ahmad Awan, J. Aneja, A. Awadallah, H. Awadalla, Bach Nguyen, Amit Bahree, Arash Bakhtiari, Jian-Min Bao, Harkirat Singh Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Qin Cai, Martin Cai, Caio César, Teodoro Mendes, Wei-Zhu Chen, Vishrav Chaudhary, Dongdong Chen, Yen-Chun Chen, Yi-Ling Chen, Parul Chopra, Xi-Yang Dai, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan and 101 others
Papers open inside SciRah from the original publisher or repository; SciRah never hosts them.
Abstract
No abstract is available from our sources. Use “Read paper” to view it.
TL;DRThis work studies the behavioral biases of LVLMs from a interdisciplinary finance perspective, an interdisciplinary area that jointly considers finance and psychol-010 ogy and proposes an end-to-end framework to assess LVLM’s reasoning capabilities and dynamic behaviors. (Semantic Scholar)