most citedAlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding

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cs.LG2025★ 1 cited

Grounding Computer Use Agents on Human Demonstrations

Aarash Feizi, Shravan Nayak, Xiangru Jian +14

Building reliable computer-use agents requires grounding: accurately connecting natural language instructions to the correct on-screen elements. While large datasets exist for web…

cs.LG2025

Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMs

Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng +5

Real-world forecasting requires models to integrate not only historical data but also relevant contextual information provided in textual form. While large language models (LLMs) s…