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Showing 1 to 6 of 6 for “"model reasoning"”.

  1. Human-centric trustworthy foundation model reasoning

    … Advancements in AI have given rise to language models (LMs) being increasingly adopted in assisting information understanding and communication for different task settings. However, the potential that LMs can serve in supporting human communication is still hindered by important issues. As …

    uiuc Repository record for Human-centric trustworthy foundation model reasoning (opens in a new tab)

  2. Explanation Alignment: Quantifying the Correctness of Model Reasoning At Scale

    To improve the reliability of machine learning models, researchers have developed metrics to measure the alignment between model saliency and human explanations. Thus far, however, these saliency-based alignment metrics have been used to conduct descriptive analyses and instance-level evaluations …

    mit Repository record for Explanation Alignment: Quantifying the Correctness of Model Reasoning At Scale (opens in a new tab)

  3. Minimalist Approach to End-to-End Vision Language Navigation with Multi-Modal Foundation Model Features

    … navigation (VLN) approaches leverage large models, prompt engineering, and/or explicit reasoning for instruction interpretation and agent guidance. We introduce MiniNav, a minimalist framework employing frozen vision-language foundation models as patch-wise feature extractors, avoiding data …

    mit Repository record for Minimalist Approach to End-to-End Vision Language Navigation with Multi-Modal Foundation Model Features (opens in a new tab)

  4. Advanced Computer Vision for Smart Retail: From Anomaly Detection to Fine-grained Product Classification

    … anomaly detection framework based on diffusion models and compact motion representations. Our diffusion-based approach effectively captures complex spatiotemporal patterns without relying on labeled training data, while our compact motion representations significantly enhance computational …

    trento Repository record for Advanced Computer Vision for Smart Retail: From Anomaly Detection to Fine-grained Product Classification (opens in a new tab)

  5. Neural algorithmic reasoning in a bottle(neck)

    … in a principled manner. Neural algorithmic reasoning has been recently proposed as a solution to this issue. It escapes the so-called scalar bottleneck problem by using specialised neural network architectures to execute the algorithm in higher-dimensional space. Mapping reality into this …

    cambridge Repository record for Neural algorithmic reasoning in a bottle(neck) (opens in a new tab)

  6. On the capabilities and risks of large language models

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms

    uiuc Repository record for On the capabilities and risks of large language models (opens in a new tab)