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July 30, 20268 min readInstead of compromising among parameter updates dictated by different training objectives, ControlG allocates computational capacity to objectives sequentially and dynamically.
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July 9, 202610 min read
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Featured news
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Nature Communications2025We present a dry surface treatment combining atomic layer etching and deposition (ALE and ALD) to mitigate dielectric loss in fully fabricated superconducting quantum devices. The treatment starts by conformally removing the native metal oxide and fabrication residues from the exposed surfaces through ALE before in situ encapsulating the metal surfaces with a thin dielectric layer using ALD. We measure
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KDD 2025 Workshop on Evaluation and Trustworthiness of Agentic and Generative AI Models2025The practical effectiveness of text-to-SQL systems is often limited by the scarcity of domain-specific benchmark datasets. Manually curating these benchmarks struggles with translating ambiguous business question amidst complex metrics, domain knowledge, and data structures. To address this bottleneck, we propose a novel semi-automatic approach for generating high-quality text-SQL pairs via reverse engineering
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IEEE CogMI 20252025Operational support is an important component of production software services. Support requests are often emergent and can come in many forms such as customer escalations or unplanned service interruption. Engineers across organizations have been successful in implementing automation to help streamline support processes but many solutions remain in the hands of human operators. A successful strategy to
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ACL 2025 Workshop on Research on Agent Language Models2025In e-commerce, behavioral data is collected for decision making which can be costly and slow. Simulation with LLM powered agents is emerging as a promising alternative for representing human population behavior. However, LLMs are known to exhibit certain biases, such as brand bias, review rating bias and limited representation of certain groups in the population, hence they need to be carefully benchmarked
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Winter Simulation Conference 20252025Simulation plays a central role in the strategic planning and operational evaluation of supply chain networks. Within these networks, order fulfillment traditionally requires solving computationally expensive optimization problems in real-time across multiple constraints. For forward-looking simulations evaluating millions of orders, such optimization becomes prohibitively expensive. We develop a neural
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