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OpenWebRL — Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
This paper addresses the challenge of training capable visual web agents that interact robustly and adaptively with real, dynamic websites

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This paper addresses the challenge of training capable visual web agents that interact robustly and adaptively with real, dynamic websites

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This paper addresses the practical fundamental limits on the generation and measurement of squeezed vacuum states using integrated photonic technologies

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This paper investigates a novel and underexplored phenomenon in large language models (LLMs) — the generation of correlated fictional character name ensembles, especially recurring ghost author iden…

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This study tackles the challenge of accurately quantifying the structural influence of low-credibility narratives spreading on social media during the COVID-19 vaccine rollout

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This paper addresses the challenge of scalable, accurate surveillance of self-harm in Emergency Department (ED) triage notes, where reliance on diagnostic codes shows low sensitivity

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This paper addresses the challenge of continuously monitoring latency within the host network stack as modern networks approach sub-millisecond latencies

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WorldCoder-Bench addresses the emerging problem of evaluating large language models (LLMs) tasked with generating fully executable, physically grounded 3D worlds in browser-native Three.js environm…

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This paper addresses the challenge of autonomous post-training alignment of large language models (LLMs) by tackling the critical bottleneck of high-quality data acquisition

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BraveGuard addresses the emerging safety risks introduced by computer-use agents—large language models (LLMs) that act autonomously through files, terminals, browsers, and external tools over long …

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This paper tackles the challenge of open-set 3D recognition, where models must generalize to rare and unseen object categories in 3D point cloud data

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Med-HEAL addresses the critical problem of hallucinations in medical large language models (LLMs) that analyze electronic health records (EHRs) for clinical question answering

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pcbGPT addresses the challenge of automatically generating correct PCB schematics from natural language hardware requirements, a difficult task especially in embedded, IoT, and wearable domains due…