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This paper addresses a significant gap in the evaluation and deployment of large language model (LLM) agents, which traditionally assume static environments, whereas real-world settings are dynamic…
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This paper addresses the problem of benchmarking search agents—large language models (LLMs) integrated with search tools—on evolving, contamination-free knowledge
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This paper addresses a critical limitation in time series forecasting for highly incomplete and irregular real-world data — the common but unrealistic assumption that future valid observation timest…
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This paper addresses the challenge of managing fine-grained, dynamic data dependencies in parallel workloads, focusing on the limitations of traditional futures due to their value immutability
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This paper addresses a significant accessibility gap in conjoint analysis, a widely used method for measuring preferences across multiple disciplines including marketing, political science, healthc…
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This paper addresses a core limitation in current large language model (LLM) agents augmented with external tools, namely the step-wise atomic tool call paradigm
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This paper addresses the challenge of effectively guiding robotic generalist policies—specifically flow matching vision-language-action models—toward semantically meaningful behaviors on novel or d…
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Influcoder addresses the computational inefficiencies of influence function-based Data Attribution (DA) methods for large language models (LLMs)
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This paper addresses the challenge of improving complex reasoning tasks in large language models by teaching them to reason by analogy rather than relying solely on parametric knowledge
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This paper addresses a foundational problem in end-to-end speech-to-speech translation (S2ST) — large-scale mined paired speech corpora, while abundant, are noisy and misaligned, degrading model qua…
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This paper addresses the challenge of mechanically characterizing soft hydrogels under extremely high strain rates induced by inertial cavitation events, where standard constant-parameter constitut…
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This paper addresses the challenging problem of dexterous manipulation of articulated tools with multi-fingered robotic hands
