Retrieve, Match, Escalate: Accurate and Scalable Product Linking with VLM-Distilled Cross-Encoders and Agentic VLMs
cs.AI, cs.CL, cs.DB, cs.IR
Submitted: 2026-08-25
Updated: 2026-08-25
Terminology
Sources
- Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback
- Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR
- VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Annotation-Free Pathological Image Classification
- Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents
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- Optimizing Product Deduplication in E-Commerce with Multimodal Embeddings
- AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems
- Leveraging the Power of Large Language Models in Entity Linking via Adaptive Routing and Targeted Reasoning
- Adaptive Vision-Language Model Routing for Computer Use Agents
- AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use
- Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs
- End-to-end multi-modal product matching in fashion e-commerce
- Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
- Closing the Auto-Research Loop: An AI Co-Scientist for Production Search Ranking
- The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
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