Can Feedback Enhance Semantic Grounding in Large Vision-Language Models?

Can Feedback Enhance Semantic Grounding in Large Vision-Language Models?

9 April 2024

Sanja Fidler

Papers citing "Can Feedback Enhance Semantic Grounding in Large Vision-Language Models?"

6 / 6 papers shown

Title
Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning Pengxiang Li Zhi Gao Bofei Zhang Yapeng Mi Xiaojian Ma ... Tao Yuan Yuwei Wu Yunde Jia Song-Chun Zhu Qing Li LLMAG 65 0 0 30 Apr 2025
AlignBot: Aligning VLM-powered Customized Task Planning with User Reminders Through Fine-Tuning for Household Robots Zhaxizhuoma Pengan Chen Ziniu Wu Jiawei Sun Dong Wang Peng Zhou Nieqing Cao Yan Ding Bin Zhao Xuelong Li 37 4 0 18 Sep 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
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 297 3,163 0 21 Mar 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 315 8,261 0 28 Jan 2022
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 206 698 0 28 Apr 2021