Results indicate that cross-OS migration is a challenging and underexplored capability, and OS-Bench is a testbed for improving platform-aware SWE agents.
Generating datasets with audio plugins requires preserving how each audio observation was produced. vst-bench-ml is a Python package that samples plugin parameters, coordinates rendering through a separately installed host, and records software identities, rendering settings, and output hashes for later verification. A...
Recovered artefacts convey design that tests do not capture, offering a scalable source of design-level data for agents that design before they implement, and the round trip measures this without human references.
Cezar Sas, Sandra Mitrović, Fabio Barth et al.· 0 citations
SWE-Nexus enables task construction from validated behavior beyond individual historical changes, a fully automated pipeline that constructs repository-level implementation tasks from test execution from test execution.
Song-Wei Yu, Zi-Qi Miao, Jing-Xuan Xu et al.· 0 citations
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CRISPR-Cas9 has demonstrated high initial editing efficiency in animal models of inherited hematological disorders and has successfully produced phenotypic improvements, manifested as an increased percentage of red blood cells in mice after transplantation, suggesting its potential therapeutic prospects for correcting...
Qiong-Wen Xu· Journal of Mechanics in Medi...· 0 citations
What this is. The complete, unfiltered result of the Phygas search for the pulsar PSR J0931-1902: for each of 4,085 young open clusters and moving groups (of 4,087 in the catalogue; the others were excluded by a distance prefilter) it records how close, how long ago and at what relative speed the pulsar and the cluster...
Alperen Yavuz· Zenodo (CERN European Organi...· 0 citations
What this is. The complete, unfiltered result of the Phygas search for the pulsar PSR J0102+6537: for each of 4,081 young open clusters and moving groups (of 4,087 in the catalogue; the others were excluded by a distance prefilter) it records how close, how long ago and at what relative speed the pulsar and the cluster...
Alperen Yavuz· Zenodo (CERN European Organi...· 0 citations
What this is. The complete, unfiltered result of the Phygas search for the pulsar PSR J1741-2054: for each of 4,086 young open clusters and moving groups (of 4,087 in the catalogue; the others were excluded by a distance prefilter) it records how close, how long ago and at what relative speed the pulsar and the cluster...
Alperen Yavuz· Zenodo (CERN European Organi...· 0 citations
What this is. The complete, unfiltered result of the Phygas search for the pulsar PSR J1641+3627D: for each of 3,969 young open clusters and moving groups (of 4,087 in the catalogue; the others were excluded by a distance prefilter) it records how close, how long ago and at what relative speed the pulsar and the cluste...
Alperen Yavuz· Zenodo (CERN European Organi...· 0 citations
What this is. The complete, unfiltered result of the Phygas search for the pulsar PSR J1547-5709: for each of 4,084 young open clusters and moving groups (of 4,087 in the catalogue; the others were excluded by a distance prefilter) it records how close, how long ago and at what relative speed the pulsar and the cluster...
Alperen Yavuz· Zenodo (CERN European Organi...· 0 citations
What this is. The complete, unfiltered result of the Phygas search for the pulsar PSR J1811-2405: for each of 4,085 young open clusters and moving groups (of 4,087 in the catalogue; the others were excluded by a distance prefilter) it records how close, how long ago and at what relative speed the pulsar and the cluster...
Alperen Yavuz· Zenodo (CERN European Organi...· 0 citations
What this is. The complete, unfiltered result of the Phygas search for the pulsar PSR J0157+6212: for each of 4,084 young open clusters and moving groups (of 4,087 in the catalogue; the others were excluded by a distance prefilter) it records how close, how long ago and at what relative speed the pulsar and the cluster...
Alperen Yavuz· Zenodo (CERN European Organi...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
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.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
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.
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…
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