VIBE-Bench: Evaluating Personalized Large Language Models When Profiles Don't Mean Preferences
cs.AI, cs.CL
Submitted: 2026-09-01
Updated: 2026-09-01
Comments: Accepted at EMNLP 2026 (Findings)
Code: https://github.com/yiwenJG/VIBE-Bench
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- The Llama 3 Herd of Models
- Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale
- PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
- LongLaMP: A Benchmark for Personalized Long-form Text Generation
- REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation
- A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations
- A Survey of Personalized Large Language Models: Progress and Future Directions
- Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models
- Gemma 3 Technical Report
- LLaMA: Open and Efficient Foundation Language Models
- Qwen3 Technical Report
- NeRD: Neuro-Symbolic Rule Distillation for Efficient Ontology-Grounded Chain-of-Thought in Medical Image Diagnosis
- MemMark: State-Evolution Attribution Watermarking for Agent Long-Term Memory Systems
- A Survey of Large Language Models
- Building Emotional Support Chatbots in the Era of LLMs
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