Biopharma Sentiment Index | Q1 2026

The latest BPSI shows signs of a more durable phase in the biopharma recovery, with improvements across every metric. After four years of hunkering down, the mood in biopharma turned sharply more optimistic heading into 2026. The Biopharma Sentiment Index (BPSI) climbed to 90 in Q1, up from 78 the prior quarter — a broad-based […]

Who’s in Charge? Disempowerment Patterns in Real-World LLM Usage

arXiv:2601.19062v1 Announce Type: cross Abstract: Although AI assistants are now deeply embedded in society, there has been limited empirical study of how their usage affects human empowerment. We present the first large-scale empirical analysis of disempowerment patterns in real-world AI assistant interactions, analyzing 1.5 million consumer Claude.ai conversations using a privacy-preserving approach. We focus on […]

AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection

arXiv:2601.19138v1 Announce Type: cross Abstract: Secure code review is critical at the pre-commit stage, where vulnerabilities must be caught early under tight latency and limited-context constraints. Existing SAST-based checks are noisy and often miss immature, context-dependent vulnerabilities, while standalone Large Language Models (LLMs) are constrained by context windows and lack explicit tool use. Agentic AI, […]

GTA: Generative Traffic Agents for Simulating Realistic Mobility Behavior

arXiv:2601.16778v2 Announce Type: replace-cross Abstract: People’s transportation choices reflect complex trade-offs shaped by personal preferences, social norms, and technology acceptance. Predicting such behavior at scale is a critical challenge with major implications for urban planning and sustainable transport. Traditional methods use handcrafted assumptions and costly data collection, making them impractical for early-stage evaluations of new […]

Hyperbolic Additive Margin Softmax with Hierarchical Information for Speaker Verification

arXiv:2601.19709v1 Announce Type: cross Abstract: Speaker embedding learning based on Euclidean space has achieved significant progress, but it is still insufficient in modeling hierarchical information within speaker features. Hyperbolic space, with its negative curvature geometric properties, can efficiently represent hierarchical information within a finite volume, making it more suitable for the feature distribution of speaker […]

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