MetaEncoder: Exploring the Limit of Bi-Encoders for Multimodal System One Decision Making with Natural Language Interface

arXiv:2610.11316 · cs.CL, cs.AI · Submitted 2026-10-08 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/facebook/meta-encoder-eval

Terminology

• Benchmark — 38× in this paper · explained in 2 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• Embeddings — 12× in this paper · explained in 2 episodes
• Adaptation — 11× in this paper · explained in 1 episode
• In International Conference on Learning Representations — 9× in this paper
• Generalization — 7× in this paper · explained in 13 episodes
• Contrastive Learning — 4× in this paper · explained in 5 episodes
• Grounding — 4× in this paper · explained in 3 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Chain-of-Thought (CoT) — 2× in this paper · explained in 4 episodes
• Chain-of-Thought (CoT) Reasoning — 2× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• International Conference on Machine Learning — 2× in this paper
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Impact of Chain-of-Thought — 1× in this paper
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Douyin Multimodal Embedding Model Technical Report
• TTE-Flash: Accelerating Reasoning-based Multimodal Representations via Think-Then-Embed Tokens
• Reason to Contrast: A Cascaded Multimodal Retrieval Framework
• Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos
• MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models
• 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
• Towards General Text Embeddings with Multi-stage Contrastive Learning
• Passage Re-ranking with BERT
• Representation Learning with Contrastive Predictive Coding
• Text Embeddings by Weakly-Supervised Contrastive Pre-training
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
• WeMM-Embedding: WeChat Multi-Modal Embedding Technical Report

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