Autoregressive Retriever: Improving Query Understanding from Item Feedback for Universal Multimodal Retrieval
cs.IR, cs.CV
Submitted: 2026-10-08
Updated: 2026-10-08
Terminology
Sources
- ADORE: Iterative Query Expansion with Retrieval-Grounded Relevance Feedback
- TRACE: Task-Adaptive Reasoning and Representation Learning for Universal Multimodal Retrieval
- E5-V: Universal Embeddings with Multimodal Large Language Models
- Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
- ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- QueryAgent-R1: Bridging Query Generation and Product Retrieval for E-Commerce Query Recommendation
- Bottleneck Tokens for Unified Multimodal Retrieval
- LaME: Learning to Think in Latent Space for Multimodal Embedding via Information Bottleneck
- Think When Needed: Adaptive Reasoning-Driven Multimodal Embeddings with a Dual-LoRA Architecture
- OneRetrieval: Unifying Multi-Branch E-commerce Retrieval with an Editable Generative Model
- GRAPE: Let GRPO Supervise Query Rewriting by Ranking for Retrieval
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