Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

It's said that statistics don't lie, but they often don't tell the whole truth, either. A Cornell statistics expert has come up with a method he believes can boost statistical power and significantly ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...

In his landmark 1949 paper, Claude Shannon showed how simple statistical models called Markov chains could reproduce the structure of human language. By modeling how letters and words depend on one ...

The paper, “Towards a More Efficient Bias Detection in Financial Language Models,” was accepted at the ICLR 2026 Workshop on Advances in Financial AI (AFA) and examines whether bias audits can be made ...

The IMF and global statistical institutions propose StatGPT, an AI system that retrieves official statistics directly from trusted databases using natural language queries, ensuring accuracy instead ...

Abstract: This paper investigates statistical language model adaptation for Mandarin broadcast news transcription. A topical mixture model was proposed to explore the long-span latent topical ...

ABSTRACT: This study developed height-diameter (H-D) models that explicitly incorporate site quality for Pinus patula in Sao Hill Plantation, in Tanzania, using a large dataset of 42,030 sample trees ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...