Privacy policies are essential for users to understand how service providers handle their personal data. However, these documents are often long and complex, as well as filled with technobabble and legalese, causing users to unknowingly accept terms that may even contradict the law. While summarizing and interpreting these privacy policies is crucial, there is a lack of high-quality English parall
Financial question answering (QA) over long corporate filings requires evidence to satisfy strict constraints on entities, financial metrics, fiscal periods, and numeric values. However, existing LLM-based rerankers primarily optimize semantic relevance, leading to unstable rankings and opaque decisions on long documents. We propose FinCards, a structured reranking framework that reframes financia
Agentic web search increasingly faces two distinct demands: deep reasoning over a single target, and structured aggregation across many entities and heterogeneous sources. Current systems struggle on both fronts. Breadth-oriented tasks demand schema-aligned outputs with wide coverage and cross-entity consistency, while depth-oriented tasks require coherent reasoning over long, branching search tra
Electroencephalography (EEG) provides real-time insights into brain activity and supports diverse applications in neuroscience. While EEG foundation models (EFMs) have emerged to address the scalability issues of task-specific models, current approaches still yield clinically uninterpretable and weakly discriminative representations, inefficiently capturing global dependencies and neglecting impor
Understanding student behavior in the classroom is essential to improve both pedagogical quality and student engagement. Existing methods for predicting student engagement typically require substantial annotated data to model the diversity of student behaviors, yet privacy concerns often restrict researchers to their own proprietary datasets. Moreover, the classroom context, represented in peers'
Capital is concentrated in a few oversized, nontraditional entries rather than a broad spread of startup rounds. The desk reads more like a map of where large pools of money sit than a venture flow report.
Capital is concentrated in a few oversized, nontraditional entries rather than a broad spread of startup rounds. The desk reads more like a map of where large pools of money sit than a venture flow report.
Capital is concentrated in a few oversized, nontraditional entries rather than a broad spread of startup rounds. The desk reads more like a map of where large pools of money sit than a venture flow report.
Named talent movement is too sparse to show a clear reshaping of teams. The items point to role labels and formation signals, but not enough personnel detail to frame a real hiring or departure trend.
Named talent movement is too sparse to show a clear reshaping of teams. The items point to role labels and formation signals, but not enough personnel detail to frame a real hiring or departure trend.
Named talent movement is too sparse to show a clear reshaping of teams. The items point to role labels and formation signals, but not enough personnel detail to frame a real hiring or departure trend.
Three fresh scores land on distinct evaluation surfaces, giving a compact read on where capability is being measured today. The mix spans general intelligence, agentic behavior, and coding, which keeps the benchmark picture broad rather than single-track.
Three fresh scores land on distinct evaluation surfaces, giving a compact read on where capability is being measured today. The mix spans general intelligence, agentic behavior, and coding, which keeps the benchmark picture broad rather than single-track.
Three fresh scores land on distinct evaluation surfaces, giving a compact read on where capability is being measured today. The mix spans general intelligence, agentic behavior, and coding, which keeps the benchmark picture broad rather than single-track.