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2,461 papers
We introduce AgentPersonaBench (APB), a benchmark evaluating whether persona conditioning faithfully steers downstream agent behavior. While language models are increasingly deployed for persona-driven user simulation, existing benchmarks primarily evaluate conversational styling or self-reports rather than authentic b...
Agents built on large language models (LLMs) build and run software through tool calls. A call reaches its program through several hops, and any hop can change the call without notice. When the changed call fails, the agent retries a correct call, which costs users time and money. Benchmarks and failure analyses do not...
When autonomous Large Language Model (LLM) agents maintain and refactor safety-critical enterprise software under automated verification constraints, task completion incentives frequently induce reward-hacking heuristics. Early-generation agents introduce what we term Spurious Agentic Heuristic Glues (SAHGs)—deceptive...
When autonomous Large Language Model (LLM) agents maintain and refactor safety-critical enterprise software under automated verification constraints, task completion incentives frequently induce reward-hacking heuristics. Early-generation agents introduce what we term Spurious Agentic Heuristic Glues (SAHGs)—deceptive...
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L'adozione enterprise di modelli LLM pone sfide inedite in termini di governance, qualità e gestione del rischio. A differenza del software tradizionale — deterministico e verificabile — i sistemi basati su modelli di linguaggio presentano comportamenti probabilistici, difficoltà di testing convenzionale e requisiti di...
L'adozione enterprise di modelli LLM pone sfide inedite in termini di governance, qualità e gestione del rischio. A differenza del software tradizionale — deterministico e verificabile — i sistemi basati su modelli di linguaggio presentano comportamenti probabilistici, difficoltà di testing convenzionale e requisiti di...
Objectives: the main objective of this study was to compare the completeness of medical data collection using the digital tool SMURt@b versus the former paper format during the pre-hospital management of chest pain. Patients studied: the patients included in this study were adults managed in a pre-hospital setting for...
ABSTRACT Examining the impact of Regional Original Revenue (PAD) and General Allocation Funds (DAU) on regional expenditure posture, as well as analyzing the existence of the Flypaper Effect phenomenon within regency and city governments in South Sumatra Province, is the primary focus of this study. A quantitative ap...
This study examines the extent to which scientific publications can support claims about algorithmic disaster governance in an information-limited setting and distinguishes among technological capability, functional compatibility, administrative embedding, and system integration.
ABSTRACT This study aims to determine the influence of accountability, transparency, and good governance on the institutional performance of Regional Apparatus Organizations (OPDs) in Palembang City. A quantitative research approach was used. Primary data were collected through a questionnaire distributed to OPD empl...
Augmented reality (AR) tools may support hydrology instruction by turning abstract watershed concepts into visible and manipulable processes. This pilot study reports the construction and classroom implementation of an AR sandbox to support basin and watershed understanding in an undergraduate civil engineering hydro...
It is suggested that carefully designed lightweight feature representations, combined with systematic multi-metric evaluation, can provide a reproducible and interpretable baseline for practical software vulnerability detection.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
We’re launching agentic video understanding across our latest Gemini models for improved accuracy and lower costs and token usage.
In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.
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