LMEB: Long-horizon Memory Embedding Benchmark
cs.CL
Submitted: 2026-03-13
Updated: 2026-10-12
Code: https://github.com/embeddings-benchmark/mteb
Terminology
Sources
- jina-embeddings-v5-text: Task-Targeted Embedding Distillation
- Toward Conversational Agents with Context and Time Sensitive Long-term Memory
- Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
- SWE-Exp: Experience-Driven Software Issue Resolution
- PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering
- Rethinking Memory in LLM based Agents: Representations, Operations, and Emerging Topics
- Memp: Exploring Agent Procedural Memory
- Human-inspired Episodic Memory for Infinite Context LLMs
- jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval
- KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model
- A Benchmark for Procedural Memory Retrieval in Language Agents
- REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation
- Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning
- Towards General Text Embeddings with Multi-stage Contrastive Learning
- MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations
- ViDoRe Benchmark V2: Raising the Bar for Visual Retrieval
- VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents
- Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings
- ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
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