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    Salesforce AI Research Posts UserRL Paper on arXiv

    Salesforce AI Research shares arXiv paper on RL framework for user agents.

    SA
    4 Sources, 29d ago, first seen 29d ago

    TLDR

    The official Salesforce AI Research account announced its paper UserRL: Training Interactive User-Centric Agent via Reinforcement Learning. The work presents a unified RL framework that uses eight gym environments to train agents for multi-turn user interactions. Listed authors are qiancheng1231, LiuZuxin, aksh_555, _Jason_Q, Zhiwei Liu, and Haolin Chen. The preprint is available at arxiv.org/abs/2509.19736. The post comes directly from the company's AI research division and describes the paper's focus on moving beyond static benchmarks.

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    4 Sources, first seen 29d ago

    Combined views

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    4 Sources, first seen 29d ago

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    4 Sources

    @SFResearch(9/13) 📄 UniDoc-Bench: A Unified Benchmark for Document-Centric Multimodal RAG (Findings): a unified benchmark for retrieval-augmented generation over multimodal documents. http://arxiv.org/abs/2510.03663 Authors: @beckypeng6, @canqin001, @ZeyuanChen, @stanleyran, @CaimingXiong, @jasonwu0731 #EMNLP2026

    4 Sources

    @SFResearch(9/13) 📄 UniDoc-Bench: A Unified Benchmark for Document-Centric Multimodal RAG (Findings): a unified benchmark for retrieval-augmented generation over multimodal documents. http://arxiv.org/abs/2510.03663 Authors: @beckypeng6, @canqin001, @ZeyuanChen, @stanleyran, @CaimingXiong, @jasonwu0731 #EMNLP2026