ZooWork-ShopRanker: An Open, Preference-Aligned E-Commerce Reranker

arXiv:2609.31002 · cs.CL · Submitted 2026-09-25 · Read on arXiv

cs.CL

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Benchmark — 48× in this paper · explained in 2 episodes
• Accuracy — 38× in this paper · explained in 1 episode
• Alignment — 37× in this paper · explained in 1 episode
• Distillation — 18× in this paper · explained in 2 episodes
• Fine-Tuning — 9× in this paper · explained in 5 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• LLM judge — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Abstention — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• LoRA Adapters — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• International Conference on Machine Learning — 1× in this paper
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
• M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
• LookBench: A Live and Holistic Open Benchmark for Fashion Image Retrieval
• jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval
• LoRA: Low-Rank Adaptation of Large Language Models
• MTEB: Massive Text Embedding Benchmark
• jina-embeddings-v3: Multilingual Embeddings With Task LoRA
• Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
• ZooClaw-FashionSigLIP2: Distilled Fine-tuning for Robust Fashion Retrieval
• FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering
• Beyond Retrieval: A Multitask Benchmark and Model for Code Search
• QuitoBench: A High-Quality Open Time Series Forecasting Benchmark
• Qwen3 Technical Report
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
• A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models

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