Valley3: Scaling Omni Foundation Models for E-commerce
cs.AI
Submitted: 2026-05-02
Updated: 2026-09-14
Code: https://github.com/bytedance/Valley
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models
- TaoSR1: The Thinking Model for E-commerce Relevance Search
- VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
- Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos
- MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines
- AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping
- Megrez-Omni Technical Report
- Baichuan-Omni-1.5 Technical Report
- KuaiSearch: An E-Commerce Search Dataset with Authentic Queries and Product Texts for Recall, Ranking, and Relevance
- Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data
- Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
- Ola: Pushing the Frontiers of Omni-Modal Language Model
- OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-Time Self-Aware Emotional Speech Synthesis
- Compass-v3: Scaling Domain-Specific LLMs for Multilingual E-Commerce in Southeast Asia
- EcomBench: Towards Holistic Evaluation of Foundation Agents in E-commerce
- Thinking Broad, Acting Fast: Latent Reasoning Distillation from Multi-Perspective Chain-of-Thought for E-Commerce Relevance
- Seed1.8 Model Card: Towards Generalized Real-World Agency
- Omni-Video: Democratizing Unified Video Understanding and Generation
- SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
- Qwen3-Omni Technical Report
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