Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for ...

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Researchers from MIT, Northeastern University, and Meta recently released a paper suggesting that large language models (LLMs) similar to those that power ChatGPT may sometimes prioritize sentence ...

Most of the papers in this volume were presented during the 3 rd EISSI, in 2018 at Universidade Federal de Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil. EISSI - Encontro Internacional ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Every survey finding published by Pew Research ...

MELBOURNE, Australia — A senior lawyer in Australia has apologized to a judge for filing submissions in a murder case that included fake quotes and nonexistent case judgments generated by artificial ...

I'm not sure if this should go here or in the mypyc issue tracker. I believe its a bug in mypy itself which only causes notable issues when you compile code with mypyc. TypeGuard behavior does not ...

An amble through the neighborhoods of North Berkeley often turns into an introspection and a treasure hunt. On one such stroll, I and my fellow amblers stumbled across an empty, upturned flower pot, ...

Israel’s recent war with Iran served as a cautionary tale for countries with sophisticated missile defenses and those that seek to have them. Over 12 days, Iran pierced Israel’s defenses with ...

Citation errors and phantom research used as scientific evidence to bolster Health Secretary Robert F. Kennedy Jr.'s landmark “Make America Healthy Again” commission report were apparently due to ...

Lovable, which is a Vibe coding tool, says Claude 4 has reduced its errors by 25% and made it faster by 40%. On May 22, Anthropic started rolling out two new models: Claude Sonnet 4 and Claude Opus 4.

Are you exhausted from drowning in an overwhelming flood of print statements while debugging your Python code? Longing for a superior solution to effortlessly identify and rectify common Python errors ...