Results 141 to 150 of about 468 (174)
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SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models

North American Chapter of the Association for Computational Linguistics
Large Language Models (LLMs), the bedrock of many “artificial intelligence” (AI) applications, are known to reproduce social biases present in their training data. Yet resources to measure and control this issue are limited.
Margaret Mitchell   +499 more
semanticscholar   +1 more source

The Bias is in the Details: An Assessment of Cognitive Bias in LLMs

arXiv.org
As Large Language Models (LLMs) are increasingly embedded in real-world decision-making processes, it becomes crucial to examine the extent to which they exhibit cognitive biases. Extensively studied in the field of psychology, cognitive biases appear as
R. Alexander Knipper   +499 more
semanticscholar   +1 more source

From KMMLU-Redux to Pro: A Professional Korean Benchmark Suite for LLM Evaluation

Conference on Empirical Methods in Natural Language Processing
The development of Large Language Models (LLMs) requires robust benchmarks that encompass not only academic domains but also industrial fields to effectively evaluate their applicability in real-world scenarios.
Seokhee Hong   +499 more
semanticscholar   +1 more source

Identification and replication of sex-dimorphic protein quantitative trait loci across multiple ancestries and their associations with diseases

Scientific Reports
Males and females exhibit differences in proteome profiles associated with disease risk. However, sex-dimorphic protein quantitative trait loci (SD-pQTL) and their effects on sex differences in health disorders have not been thoroughly investigated.
Y. Bhak   +499 more
semanticscholar   +1 more source

Evaluating Design Choices in Verifiable Generation with Open-source Models

Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)
,
Shuyang Cao   +499 more
semanticscholar   +1 more source

Attractive In Situ Self‐Reconstructed Hierarchical Gradient Structure of Metallic Glass for High Efficiency and Remarkable Stability in Catalytic Performance

Advanced Functional Materials, 2019
Metallic glass (MG), with the superiorities of unique disordered atomic structure and intrinsic chemical heterogeneity, is a new promising and competitive member in the family of environmental catalysts. However, what is at stake for MG catalysts is that
Zhe Jia   +11 more
semanticscholar   +1 more source

Ba6RE2Ti4O17 (RE = Nd, Sm, Gd, Dy-Yb): A Family of Rare-Earth-Based Layered Triangular Lattice Magnets.

Inorganic Chemistry
The exploration of new rare-earth (RE)-based triangular-lattice materials plays a significant role in motivating the discovery of exotic magnetic states.
Fangyuan Song   +11 more
semanticscholar   +1 more source

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