On HMMT Feb 25, a rigorous reasoning benchmark, Qwen3-Max-Thinking scored 98.0, edging out Gemini 3 Pro (97.5) and ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

Indeed D&D’s complex rules, extended campaigns and need for teamwork are an ideal environment to evaluate the long-term ...

Recent breakthroughs in large language models (LLMs) on complex reasoning tasks have been largely driven by Test-Time Scaling (TTS) — a paradigm that enhances reasoning by intensifying inference-time ...

Researchers at the Technical University of Munich (TUM) have developed a method for diagnosing urinary tract infections that significantly accelerates antibiotic resistance testing in urine. Because ...

Researchers have discovered a new way to detect per- and polyfluoroalkyl substances (PFAS) in water. This marks an important step forward in creating testing devices that are simpler, more ...

Telling ChatGPT to fact-check a random answer before solving an actual problem makes it think harder, and get the answer right more often – even if the earlier ‘random’ answer has nothing to do with ...

Introduction: We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in ...

As AI reshapes how we study, work, and communicate, questions are being asked about the future of English language learning and testing. If translation tools and generative text can produce fluent ...

With the National Institutes of Health shifting funding toward human-relevant, non-animal science, Connecticut’s leadership in bioscience has a timely opportunity to champion research methods that ...

Our framework consists of two main pipelines: (1) Test-Time Augmentation: Given an input image and text prompt, we apply various transformations to create multiple augmented versions. VLM processes ...