2 citations · 2 across the 5 of their papers we have counts for
5 papers
Eliciting Self-Verification in Multimodal Reasoning Agents with Reinforcement Learning
Vishwas Sathish, Viresh Ranjan, Xinliang Zhu +2
Reasoning agents increasingly rely on external tools such as web search to answer complex queries. Reinforcement learning (RL) finetuning algorithms such as GRPO have improved long…
Rethinking Visual Information Processing in Multimodal LLMs
Dongwan Kim, Viresh Ranjan, Takashi Nagata +2
Despite the remarkable success of the LLaVA architecture for vision-language tasks, its design inherently struggles to effectively integrate visual features due to the inherent mis…
Bringing Multimodality to Amazon Visual Search System
Xinliang Zhu, Michael Huang, Han Ding +10
Image to image matching has been well studied in the computer vision community. Previous studies mainly focus on training a deep metric learning model matching visual patterns betw…
Leveraging Large Language Models for Multimodal Search
Oriol Barbany, Michael Huang, Xinliang Zhu +1
Multimodal search has become increasingly important in providing users with a natural and effective way to ex-press their search intentions. Images offer fine-grained details of th…
ProcSim: Proxy-based Confidence for Robust Similarity Learning
Oriol Barbany, Xiaofan Lin, Muhammet Bastan +1
Deep Metric Learning (DML) methods aim at learning an embedding space in which distances are closely related to the inherent semantic similarity of the inputs. Previous studies hav…