Imagen de Portada

Multilingual large language models leak human stereotypes across language boundaries

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cao, Yang Trista, Sotnikova, Anna, Zhao, Jieyu, Zou, Linda X., Rudinger, Rachel, Daume III, Hal
Formato:	Preprint
Publicado:	2023
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Natural Language Inference Improves Compositionality in Vision-Language Models
por: Cascante-Bonilla, Paola, et al.
Publicado: (2024)

Language Models Predict Empathy Gaps Between Social In-groups and Out-groups
por: Hou, Yu, et al.
Publicado: (2025)

"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
por: Nghiem, Huy, et al.
Publicado: (2024)

Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms
por: Ki, Dayeon, et al.
Publicado: (2026)

A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
por: Zhao, Lingjun, et al.
Publicado: (2025)

'Rich Dad, Poor Lad': How do Large Language Models Contextualize Socioeconomic Factors in College Admission ?
por: Nghiem, Huy, et al.
Publicado: (2025)

When Stereotypes GTG: The Impact of Predictive Text Suggestions on Gender Bias in Human-AI Co-Writing
por: Baumler, Connor, et al.
Publicado: (2024)

Steering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions
por: Goyal, Navita, et al.
Publicado: (2026)

HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models
por: Nghiem, Huy, et al.
Publicado: (2024)

Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators
por: Cao, Yang Trista, et al.
Publicado: (2023)

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
por: Zhao, Lingjun, et al.
Publicado: (2024)

How often are errors in natural language reasoning due to paraphrastic variability?
por: Srikanth, Neha, et al.
Publicado: (2024)

SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
por: Nghiem, Huy, et al.
Publicado: (2025)

Do large language models resemble humans in language use?
por: Cai, Zhenguang G., et al.
Publicado: (2023)

Pragmatics Meets Culture: Culturally-adapted Artwork Description Generation and Evaluation
por: Zhao, Lingjun, et al.
Publicado: (2026)

EuroGEST: Investigating gender stereotypes in multilingual language models
por: Rowe, Jacqueline, et al.
Publicado: (2025)

Dissociating language and thought in large language models
por: Mahowald, Kyle, et al.
Publicado: (2023)

Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users
por: Zeraati, Farnaz Zamiri, et al.
Publicado: (2026)

Causal Effect of Group Diversity on Redundancy and Coverage in Peer-Reviewing
por: Goyal, Navita, et al.
Publicado: (2024)

Uncovering inequalities in new knowledge learning by large language models across different languages
por: Wang, Chenglong, et al.
Publicado: (2025)

Are they human? Detecting large language models by probing human memory constraints
por: Schug, Simon, et al.
Publicado: (2026)

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
por: Gor, Maharshi, et al.
Publicado: (2024)

Comparing large language models and human programmers for generating programming code
por: Hou, Wenpin, et al.
Publicado: (2024)

Strong and weak alignment of large language models with human values
por: Khamassi, Mehdi, et al.
Publicado: (2024)

Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style
por: Baumler, Connor, et al.
Publicado: (2026)

Dynamic data sampler for cross-language transfer learning in large language models
por: Li, Yudong, et al.
Publicado: (2024)

Studies with impossible languages falsify LMs as models of human language
por: Bowers, Jeffrey S., et al.
Publicado: (2025)

Retrieval augmentation of large language models for lay language generation
por: Guo, Yue, et al.
Publicado: (2022)

AI shares emotion with humans across languages and cultures
por: Wu, Xiuwen, et al.
Publicado: (2025)

Can Hallucination Correction Improve Video-Language Alignment?
por: Zhao, Lingjun, et al.
Publicado: (2025)

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models
por: Aman, Tabinda, et al.
Publicado: (2025)

Correcting misinformation on social media with a large language model
por: Zhou, Xinyi, et al.
Publicado: (2024)

My LLM might Mimic AAE -- But When Should it?
por: Sandoval, Sandra C., et al.
Publicado: (2025)

Post-training makes large language models less human-like
por: Binz, Marcel, et al.
Publicado: (2026)

Prompting language influences diagnostic reasoning and accuracy of large language models
por: Bazoge, Adrien, et al.
Publicado: (2026)

Alignment faking in large language models
por: Greenblatt, Ryan, et al.
Publicado: (2024)

Humans overrely on overconfident language models, across languages
por: Rathi, Neil, et al.
Publicado: (2025)

Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
por: Nghiem, Huy, et al.
Publicado: (2026)

Representation in large language models
por: Yetman, Cameron
Publicado: (2025)

Aligning language models with human preferences
por: Korbak, Tomasz
Publicado: (2024)