Saved in:
| Main Authors: | Jung, Youjin, Cho, Seongwoo, Min, Hyun-seok, Choi, Sungchul |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.20781 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Language-only Efficient Training of Zero-shot Composed Image Retrieval
by: Gu, Geonmo, et al.
Published: (2023)
by: Gu, Geonmo, et al.
Published: (2023)
Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval
by: Li, Haiwen, et al.
Published: (2024)
by: Li, Haiwen, et al.
Published: (2024)
Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs
by: Zhang, Huaying, et al.
Published: (2024)
by: Zhang, Huaying, et al.
Published: (2024)
SDR-CIR: Semantic Debias Retrieval Framework for Training-Free Zero-Shot Composed Image Retrieval
by: Sun, Yi, et al.
Published: (2026)
by: Sun, Yi, et al.
Published: (2026)
DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling
by: Jung, Kyuheon, et al.
Published: (2024)
by: Jung, Kyuheon, et al.
Published: (2024)
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval
by: Yoon, Soyoung, et al.
Published: (2024)
by: Yoon, Soyoung, et al.
Published: (2024)
MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval
by: Tu, Rong-Cheng, et al.
Published: (2025)
by: Tu, Rong-Cheng, et al.
Published: (2025)
Multimodal Reasoning Agent for Zero-Shot Composed Image Retrieval
by: Tu, Rong-Cheng, et al.
Published: (2025)
by: Tu, Rong-Cheng, et al.
Published: (2025)
XR: Cross-Modal Agents for Composed Image Retrieval
by: Yang, Zhongyu, et al.
Published: (2026)
by: Yang, Zhongyu, et al.
Published: (2026)
Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation
by: Choi, Yejin, et al.
Published: (2025)
by: Choi, Yejin, et al.
Published: (2025)
InRanker: Distilled Rankers for Zero-shot Information Retrieval
by: Laitz, Thiago, et al.
Published: (2024)
by: Laitz, Thiago, et al.
Published: (2024)
A Sketch+Text Composed Image Retrieval Dataset for Thangka
by: Xu, Jinyu, et al.
Published: (2026)
by: Xu, Jinyu, et al.
Published: (2026)
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
by: Agnolucci, Lorenzo, et al.
Published: (2024)
by: Agnolucci, Lorenzo, et al.
Published: (2024)
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering
by: Jung, Hoin, et al.
Published: (2024)
by: Jung, Hoin, et al.
Published: (2024)
Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval
by: Sun, Zelong, et al.
Published: (2024)
by: Sun, Zelong, et al.
Published: (2024)
Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
by: Xia, Yu, et al.
Published: (2025)
by: Xia, Yu, et al.
Published: (2025)
FactIR: A Real-World Zero-shot Open-Domain Retrieval Benchmark for Fact-Checking
by: V, Venktesh, et al.
Published: (2025)
by: V, Venktesh, et al.
Published: (2025)
CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval
by: Sun, Zelong, et al.
Published: (2025)
by: Sun, Zelong, et al.
Published: (2025)
InfoCIR: Multimedia Analysis for Composed Image Retrieval
by: Dravilas, Ioannis, et al.
Published: (2026)
by: Dravilas, Ioannis, et al.
Published: (2026)
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval
by: Omama, Mohammad, et al.
Published: (2024)
by: Omama, Mohammad, et al.
Published: (2024)
ZSE-Cap: A Zero-Shot Ensemble for Image Retrieval and Prompt-Guided Captioning
by: Dinh, Duc-Tai, et al.
Published: (2025)
by: Dinh, Duc-Tai, et al.
Published: (2025)
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
by: Gu, Geonmo, et al.
Published: (2023)
by: Gu, Geonmo, et al.
Published: (2023)
ARHN: Answer-Centric Relabeling of Hard Negatives with Open-Source LLMs for Dense Retrieval
by: Choi, Hyewon, et al.
Published: (2026)
by: Choi, Hyewon, et al.
Published: (2026)
Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
by: Yun, JungMin, et al.
Published: (2026)
by: Yun, JungMin, et al.
Published: (2026)
IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation Scenarios
by: Lin, Hai, et al.
Published: (2024)
by: Lin, Hai, et al.
Published: (2024)
A Distributed Collaborative Retrieval Framework Excelling in All Queries and Corpora based on Zero-shot Rank-Oriented Automatic Evaluation
by: Che, Tian-Yi, et al.
Published: (2024)
by: Che, Tian-Yi, et al.
Published: (2024)
RALLM-POI: Retrieval-Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking
by: Li, Kunrong, et al.
Published: (2025)
by: Li, Kunrong, et al.
Published: (2025)
CoLLM: A Large Language Model for Composed Image Retrieval
by: Huynh, Chuong, et al.
Published: (2025)
by: Huynh, Chuong, et al.
Published: (2025)
A Comprehensive Survey on Composed Image Retrieval
by: Song, Xuemeng, et al.
Published: (2025)
by: Song, Xuemeng, et al.
Published: (2025)
Fishing for Answers: Exploring One-shot vs. Iterative Retrieval Strategies for Retrieval Augmented Generation
by: Lin, Huifeng, et al.
Published: (2025)
by: Lin, Huifeng, et al.
Published: (2025)
FastInsight: Fast and Insightful Retrieval via Fusion Operators for Graph RAG
by: An, Seonho, et al.
Published: (2026)
by: An, Seonho, et al.
Published: (2026)
Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals
by: Zeng, Linda, et al.
Published: (2025)
by: Zeng, Linda, et al.
Published: (2025)
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
by: Xia, Yu, et al.
Published: (2024)
by: Xia, Yu, et al.
Published: (2024)
A Zero-shot Explainable Doctor Ranking Framework with Large Language Models
by: Zeng, Ziyang, et al.
Published: (2025)
by: Zeng, Ziyang, et al.
Published: (2025)
CaLa: Complementary Association Learning for Augmenting Composed Image Retrieval
by: Jiang, Xintong, et al.
Published: (2024)
by: Jiang, Xintong, et al.
Published: (2024)
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
by: Sun, Weiwei, et al.
Published: (2025)
by: Sun, Weiwei, et al.
Published: (2025)
Retrieval Augmented Zero-Shot Text Classification
by: Abdullahi, Tassallah, et al.
Published: (2024)
by: Abdullahi, Tassallah, et al.
Published: (2024)
Large Language Model Informed Patent Image Retrieval
by: Lo, Hao-Cheng, et al.
Published: (2024)
by: Lo, Hao-Cheng, et al.
Published: (2024)
A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer
by: Wang, Junting, et al.
Published: (2024)
by: Wang, Junting, et al.
Published: (2024)
An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval
by: Byun, Jaeseok, et al.
Published: (2024)
by: Byun, Jaeseok, et al.
Published: (2024)
Similar Items
-
Language-only Efficient Training of Zero-shot Composed Image Retrieval
by: Gu, Geonmo, et al.
Published: (2023) -
Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval
by: Li, Haiwen, et al.
Published: (2024) -
Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs
by: Zhang, Huaying, et al.
Published: (2024) -
SDR-CIR: Semantic Debias Retrieval Framework for Training-Free Zero-Shot Composed Image Retrieval
by: Sun, Yi, et al.
Published: (2026) -
DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling
by: Jung, Kyuheon, et al.
Published: (2024)