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  1. bigthink.com › the-future › lms-still-cant-reasonLLMs still can’t reason like humans. This simple test reveals why...

    3 days ago · Open the Main Navigation Search. ... Simple Bench is also not about testing a model’s ability to code or use an external tool. For sure, a model might screw up when asked 4^4^4, ...

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    • BENCH UNDERWEAR & DENIM FASHION SHOW DVDS + 2-DVD BE BENCH THE MODEL ...

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  3. arxiv.org › abs › 2409E.T. Bench: Towards Open-Ended Event-Level Video-Language...

    5 days ago · However, existing benchmarks merely evaluate models through video-level question-answering, lacking fine-grained event-level assessment and task diversity. To fill this gap, we introduce E.T. Bench (Event-Level & Time-Sensitive Video Understanding Benchmark), a large-scale and high-quality benchmark for open-ended event-level video ...

  4. www.marktechpost.com › 2024/09/28 › reliabilitybench-measuringReliabilityBench: Measuring the Unpredictable Performance of...

    4 days ago · The research evaluates the reliability of large language models (LLMs) such as GPT, LLaMA, and BLOOM, extensively used across various domains, including education, medicine, science, and administration. As the usage of these models becomes more prevalent, understanding their limitations and potential pitfalls is crucial. The research highlights that as these models increase in size and ...

  5. www.nist.gov › ambench › short-descriptions-2025-benchmarksShort Descriptions of 2025 Benchmarks | NIST - National Institute...

    2 days ago · Short descriptions of all 2025 sets of benchmarks and challenge problems for prospective challenge problem participants. In response to popular demand, we have greatly increased the time between the release of the 2025 challenge problems and the submission deadline for modeling solutions. The challenge problems are being released in two stages.

  6. www.restack.io › p › ai-model-evaluation-answer-bayesian-modelBayesian Model Selection Techniques - Restackio

    15 hours ago · A Bayes factor greater than 1 indicates that model M1 is preferred over model M2, while a value less than 1 suggests the opposite. Conclusion In summary, Bayesian model selection techniques offer a powerful alternative to traditional methods by allowing for the integration of prior knowledge and the quantification of uncertainty.

  7. www.biorxiv.org › content › 10Linking microscopy to diffusion MRI with degenerate biophysical...

    1 day ago · Biophysical modelling of diffusion MRI (dMRI) is used to non-invasively estimate microstructural features of tissue, particularly in the brain. However, meaningful description of tissue requires many unknown parameters, resulting in a model that is often ill-posed. The Bayesian EstimatioN of CHange (BENCH) framework was specifically designed to circumvent parameter fitting for ill-conditioned ...

  8. arxiv.org › abs › 2409Constructing Confidence Intervals for 'the' Generalization Error...

    5 days ago · When assessing the quality of prediction models in machine learning, confidence intervals (CIs) for the generalization error, which measures predictive performance, are a crucial tool. Luckily, there exist many methods for computing such CIs and new promising approaches are continuously being proposed. Typically, these methods combine various resampling procedures, most popular among them ...