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3,069 papers
A case study of a production healthcare platform built through coding agents and governed by an operator without formal software-engineering training, which found that tests, monitors and reviewing agents used to supervise the system were fallible.
This work proposes Failure-Driven Prompt Refinement (FDPR), a methodology that analyzes recurring model failures to guide evidence-based prompt refinement, and shows that failure-driven refinement improves the reliability of LLM-based vulnerability analysis while yielding reusable prompt design principles.
OBJECTIVE The use of cell free fetal DNA has expanded to include autosomal dominant single gene conditions (cfDNA-SGD). Our aim is to estimate the cost-effectiveness of a cfDNA-SGD panel in a general obstetric population as compared to offering this test only in the setting of anomalies. METHODS Using TreeAge softwar...
Objectives This study aims to investigate the potential relationship between radiomic features extracted from 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) images of patients with breast cancer and molecular markers including estrogen receptor (ER), progesterone receptor (...
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Large language models (LLMs) equipped with terminal access have demonstrated strong capabilities in automating software engineering tasks. However, existing agents remain brittle on long-horizon workflows, where they must repeatedly reconstruct program state scattered across source files, configurations, tests, depende...
Automated Program Repair (APR) with language models is usually evaluated by whether a generated patch passes the test suite, which can hide differences in maintainability, security, and computational cost. We propose a Weighted Quality Index (QI), inspired by the ISO/IEC 25010 software quality model, that combines func...
Repository-level software engineering (SWE) is a challenging long-horizon setting: agents must reason over extended interactions, use tools, and adapt to stateful environments. Recent work trains SWE agents with reinforcement learning methods such as Group Relative Policy Optimization (GRPO), which independently sample...
Chronic hepatitis B virus (HBV) infection remains a major global public health concern, frequently leading to severe liver pathologies including cirrhosis and hepatocellular carcinoma (with WHO estimating approximately 254 million chronic carriers worldwide based on 2024 reports). Uzbekistan is classified as a region w...
Chronic hepatitis B virus (HBV) infection remains a major global public health concern, frequently leading to severe liver pathologies including cirrhosis and hepatocellular carcinoma (with WHO estimating approximately 254 million chronic carriers worldwide based on 2024 reports). Uzbekistan is classified as a region w...
Frequency crowding, the close spacing of qubit transitions, limits superconducting quantum processors through crosstalk, leakage, and spectator dependent errors. We introduce a Hamiltonian based framework that maps two- and three-body collision mechanisms onto a Max-k-Cut problem on qubit frequency allocation. In order...
A framework for CE is provided that highlights key parts to consider when planning and implementing an experiment and current practices for experimentation within indie game development are described for the early development stages of ideation, preproduction, feature production, and content production.
Overall, the interactive education and simulation activities effectively strengthened community disaster preparedness and improved first aid knowledge and skills, as well as preparedness for fire emergencies.
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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.
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.
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