FRONTIERS | EVALUATING LARGE LANGUAGE MODELS: A SYSTEMATIC REVIEW …
May 27, 2025 In this systematic literature review, we explore each of these aspects in depth. Finally, we conclude with insights and future directions for advancing the efficiency and applicability of large language models. From frontiersin.org
WHAT LARGE LANGUAGE MODELS KNOW AND WHAT PEOPLE THINK …
Our experiments with multiple-choice and short-answer questions reveal that users tend to overestimate the accuracy of LLM responses when provided with default explanations. Moreover, longer... From nature.com
BEYOND CAPABLE: ACCURACY, CALIBRATION, AND ROBUSTNESS IN LARGE LANGUAGE ...
Dec 3, 2024 For any organization seeking to responsibly harness the potential of large language models, we present a holistic approach to LLM evaluation that goes beyond accuracy. From sei.cmu.edu
FIDELITY OF MEDICAL REASONING IN LARGE LANGUAGE MODELS
Aug 8, 2025 This cross-sectional study evaluates whether the performance of large language models on medical benchmarks reflects logical reasoning or pattern recognition. From jamanetwork.com
WHAT LARGE LANGUAGE MODELS KNOW AND WHAT PEOPLE THINK …
Jan 24, 2024 Our experiments with multiple-choice and short-answer questions reveal that users tend to overestimate the accuracy of LLM responses when provided with default explanations. Moreover, longer explanations increased user confidence, even when the extra length did not improve answer accuracy. From arxiv.org
A COMPREHENSIVE REVIEW OF LARGE LANGUAGE MODELS: ISSUES AND …
Jan 14, 2025 Despite opposition and explicit bans by some authorities, LLMs continue to play a transformative role, particularly in education, by improving language understanding and generation capabilities. From link.springer.com
THE FUTURE OF LARGE LANGUAGE MODELS IN 2025 - AIMULTIPLE
Jul 25, 2025 This article explores the future of large language models by delving into developments like self-training, fact-checking, and sparse expertise. From research.aimultiple.com
FACTS GROUNDING: A NEW BENCHMARK FOR EVALUATING THE FACTUALITY OF LARGE ...
Dec 17, 2024 Today, we’re introducing FACTS Grounding, a comprehensive benchmark for evaluating the ability of LLMs to generate responses that are not only factually accurate with respect to given inputs, but also sufficiently detailed to … From deepmind.google
PERFORMANCE AND ACCURACY RESEARCH OF THE LARGE LANGUAGE …
This analysis provides a comprehensive understanding of the current state of large language models powered by deep learning, capable of executing various natural language processing (NLP) tasks, guiding future developments and applications in the field of artificial intelligence (AI). From thesai.org
CONFIDENCE IN THE REASONING OF LARGE LANGUAGE MODELS
Jan 30, 2025 Our aim is to assess whether current chatbots or large language models (LLMs) possess genuine reasoning abilities beyond pattern recognition, specifically on how LLMs handle uncertainty and express confidence in their responses. From hdsr.mitpress.mit.edu
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