composed image retrieval 1fine-grained context learning 1image retrieval 1multimodal large language models 1two-stage fine-tuning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval
Bohan Hou, Haoqiang Lin, Xuemeng Song +4
The paper introduces an automated pipeline to create a fine-grained multimodal dataset and a two-stage fine-tuning strategy that improves multimodal large language models' ability…
cs.IR2025
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
Chaohua Yang, Dugang Liu, Shiwei Li +6
Multi-scenario multi-task recommendation (MSMTR) systems must address recommendation demands across diverse scenarios while simultaneously optimizing multiple objectives, such as c…
cs.CL2025
Dual Knowledge-Enhanced Two-Stage Reasoner for Multimodal Dialog Systems
Xiaolin Chen, Xuemeng Song, Haokun Wen +3
Textual response generation is pivotal for multimodal \mbox{task-oriented} dialog systems, which aims to generate proper textual responses based on the multimodal context. While ex…