The paper introduces EnterpriseClawBench, an enterprise agent benchmark with 852 tasks and evaluation protocol, achieving a best configuration score of 0.663.

The study found that while AI collaboration is promising, highly competent and proactive AI systems can negatively impact human perceptions of ownership and job meaningfulness, suggesting that design…

This paper identifies and validates eight core UX principles for human-AI agent interaction in the workplace using a multi-method approach.

The paper introduces CI-Work, a benchmark demonstrating that current enterprise LLM agents frequently leak sensitive information while performing tasks, suggesting that privacy protection requires arc…

This paper compares two methods for assessing student teams in tabletop exercises using data from learning platforms and evaluates their validity and reliability.

This study investigates how AI's integration into various workplaces affects employees' job satisfaction by examining changes in perceived job decency and meaningfulness, finding that the impact varie…

This study benchmarks four local LLMs for natural-language-to-SQL querying in biopharma manufacturing, finding that general-purpose code-tuned models like Llama 3.1 8B and Qwen 2.5 Coder 7B outperform…

The paper introduces DBA-Bench, a benchmark for evaluating database agents with production fidelity, outcome-first evaluation, and controlled scenario reproducibility.

The paper introduces JupOtter, a bug detection system for Jupyter Notebooks with three contributions: notebook-specific tokenization, cell-level bug prediction, and a labeled dataset called OtterDatas…

This paper introduces Ichnos+, a system to estimate the environmental footprint of Nextflow scientific workflows using post-hoc analysis and node-specific power models.

This paper proposes a comprehensive, risk-based auditing framework designed to help internal and external auditors assess the cybersecurity risks posed by diverse IoT devices within corporate and indu…

This paper analyzes the potential downsides of integrating advanced AI and smart capabilities across the Edge-Cloud continuum in modern industry, focusing specifically on security vulnerabilities, sid…

This paper conducts subjective assessments to evaluate the preference and spatial audio attributes of headrest-integrated speakers for immersive audio scenarios in automobiles.

This paper presents LightFARM, a predictive lighting control framework for energy-efficient indoor farming that combines finite-horizon predictive control with compact models of photosynthesis, therma…

The paper introduces Dialogs, a new Russian conversational speech corpus with high-quality recordings, segmented utterances, and expressive prosody labels.

This ethnographic study examines how professional music producers use AI and automated tools, finding that the tension between the need for speed and maintaining creative control is a key area for fut…

The paper proposes a pose-conditioned, permutation-equivariant denoiser to accurately reconstruct work zone geometry using noisy Ultra-Wideband (UWB) range data from connected and autonomous vehicles…

SessionBound is a system that creates short-lived, budgeted, and auditable database sessions for AI agents based on approved enterprise tasks.