✨WebCoach: Self-Evolving Web Agents with Cross-Session Memory Guidance
📝 Summary:
WebCoach introduces a self-evolving framework for web agents with persistent cross-session memory. It uses a WebCondenser, External Memory Store, and a Coach to learn from past experiences without retraining. This significantly improves task success and enables smaller models to match larger LLM ...
🔹 Publication Date: Published on Nov 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.12997
• PDF: https://arxiv.org/pdf/2511.12997
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#WebAgents #AI #MachineLearning #LLM #MemoryAI
📝 Summary:
WebCoach introduces a self-evolving framework for web agents with persistent cross-session memory. It uses a WebCondenser, External Memory Store, and a Coach to learn from past experiences without retraining. This significantly improves task success and enables smaller models to match larger LLM ...
🔹 Publication Date: Published on Nov 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.12997
• PDF: https://arxiv.org/pdf/2511.12997
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#WebAgents #AI #MachineLearning #LLM #MemoryAI
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✨MemGUI-Bench: Benchmarking Memory of Mobile GUI Agents in Dynamic Environments
📝 Summary:
MemGUI-Bench is a new, comprehensive benchmark designed to evaluate the memory capabilities of mobile GUI agents. It addresses current benchmarks' failure to assess memory by offering a taxonomy, 128 tasks, and an automated evaluation pipeline. Experiments with state-of-the-art agents reveal sign...
🔹 Publication Date: Published on Feb 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.06075
• PDF: https://arxiv.org/pdf/2602.06075
• Project Page: https://lgy0404.github.io/MemGUI-Bench/
• Github: https://github.com/lgy0404/MemGUI-Bench
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#MobileAI #GUIagents #AIBenchmarking #MemoryAI #AIResearch
📝 Summary:
MemGUI-Bench is a new, comprehensive benchmark designed to evaluate the memory capabilities of mobile GUI agents. It addresses current benchmarks' failure to assess memory by offering a taxonomy, 128 tasks, and an automated evaluation pipeline. Experiments with state-of-the-art agents reveal sign...
🔹 Publication Date: Published on Feb 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.06075
• PDF: https://arxiv.org/pdf/2602.06075
• Project Page: https://lgy0404.github.io/MemGUI-Bench/
• Github: https://github.com/lgy0404/MemGUI-Bench
==================================
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#MobileAI #GUIagents #AIBenchmarking #MemoryAI #AIResearch
✨PersonaVLM: Long-Term Personalized Multimodal LLMs
📝 Summary:
PersonaVLM introduces a framework for long-term personalized multimodal LLMs. It remembers interactions, reasons multi-turn using retrieved memories, and aligns responses with evolving user personality. This novel method significantly outperforms baselines and GPT-4o on a new evaluation benchmark.
🔹 Publication Date: Published on Mar 20
🔹 Paper Links:
• arXiv Page: http://arxiv.org/abs/2604.13074
• PDF: https://arxiv.org/pdf/2604.13074
• Project Page: https://personavlm.github.io/
• Github: https://github.com/MiG-NJU/PersonaVLM
🔹 Models citing this paper:
• https://huggingface.co/ClareNie/PersonaVLM
✨ Datasets citing this paper:
• https://huggingface.co/datasets/ClareNie/Persona-MME
• https://huggingface.co/datasets/ClareNie/PersonaVLM-Dataset
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#LLM #MultimodalAI #PersonalizedAI #AIResearch #MemoryAI
📝 Summary:
PersonaVLM introduces a framework for long-term personalized multimodal LLMs. It remembers interactions, reasons multi-turn using retrieved memories, and aligns responses with evolving user personality. This novel method significantly outperforms baselines and GPT-4o on a new evaluation benchmark.
🔹 Publication Date: Published on Mar 20
🔹 Paper Links:
• arXiv Page: http://arxiv.org/abs/2604.13074
• PDF: https://arxiv.org/pdf/2604.13074
• Project Page: https://personavlm.github.io/
• Github: https://github.com/MiG-NJU/PersonaVLM
🔹 Models citing this paper:
• https://huggingface.co/ClareNie/PersonaVLM
✨ Datasets citing this paper:
• https://huggingface.co/datasets/ClareNie/Persona-MME
• https://huggingface.co/datasets/ClareNie/PersonaVLM-Dataset
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#LLM #MultimodalAI #PersonalizedAI #AIResearch #MemoryAI