Copertina

The Call for Socially Aware Language Technologies

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yang, Diyi, Hovy, Dirk, Jurgens, David, Plank, Barbara
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Impoverished Language Technology: The Lack of (Social) Class in NLP
di: Curry, Amanda Cercas, et al.
Pubblicazione: (2024)

The AI Gap: How Socioeconomic Status Affects Language Technology Interactions
di: Bassignana, Elisa, et al.
Pubblicazione: (2025)

Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions
di: Orlikowski, Matthias, et al.
Pubblicazione: (2025)

"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models
di: Wang, Xinpeng, et al.
Pubblicazione: (2024)

Compromesso! Italian Many-Shot Jailbreaks Undermine the Safety of Large Language Models
di: Pernisi, Fabio, et al.
Pubblicazione: (2024)

Conversations as a Source for Teaching Scientific Concepts at Different Education Levels
di: Rooein, Donya, et al.
Pubblicazione: (2024)

Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns
di: Sinelnik, Antonina, et al.
Pubblicazione: (2024)

Diffusion Language Models Are Natively Length-Aware
di: Rossi, Vittorio, et al.
Pubblicazione: (2026)

Classist Tools: Social Class Correlates with Performance in NLP
di: Curry, Amanda Cercas, et al.
Pubblicazione: (2024)

Do Large Language Models Adapt to Language Variation across Socioeconomic Status?
di: Bassignana, Elisa, et al.
Pubblicazione: (2026)

What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects
di: Blaschke, Verena, et al.
Pubblicazione: (2024)

Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models
di: Mondorf, Philipp, et al.
Pubblicazione: (2024)

Do Prompts Reshape Representations? An Empirical Study of Prompting Effects on Embeddings
di: Gonzalez-Gutierrez, Cesar, et al.
Pubblicazione: (2025)

Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation
di: Plaza-del-Arco, Flor Miriam, et al.
Pubblicazione: (2023)

Dynamic Skill Adaptation for Large Language Models
di: Chen, Jiaao, et al.
Pubblicazione: (2024)

Modeling Empathetic Alignment in Conversation
di: Yang, Jiamin, et al.
Pubblicazione: (2024)

The Pluralistic Moral Gap: Understanding Judgment and Value Differences between Humans and Large Language Models
di: Russo, Giuseppe, et al.
Pubblicazione: (2025)

SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety
di: Röttger, Paul, et al.
Pubblicazione: (2024)

Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning
di: Mondorf, Philipp, et al.
Pubblicazione: (2024)

PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
di: Rooein, Donya, et al.
Pubblicazione: (2026)

Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey
di: Mondorf, Philipp, et al.
Pubblicazione: (2024)

Tokenization is Sensitive to Language Variation
di: Wegmann, Anna, et al.
Pubblicazione: (2025)

Exploring Subjective Tasks in Farsi: A Survey Analysis and Evaluation of Language Models
di: Rooein, Donya, et al.
Pubblicazione: (2025)

If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models
di: Orth, Jasmin, et al.
Pubblicazione: (2025)

Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
di: Abercrombie, Gavin, et al.
Pubblicazione: (2023)

Beyond Flesch-Kincaid: Prompt-based Metrics Improve Difficulty Classification of Educational Texts
di: Rooein, Donya, et al.
Pubblicazione: (2024)

Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps
di: Attanasio, Giuseppe, et al.
Pubblicazione: (2024)

The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics
di: Orlikowski, Matthias, et al.
Pubblicazione: (2023)

Biased Tales: Cultural and Topic Bias in Generating Children's Stories
di: Rooein, Donya, et al.
Pubblicazione: (2025)

Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models
di: Madaan, Lovish, et al.
Pubblicazione: (2024)

Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives
di: Xu, Yinuo, et al.
Pubblicazione: (2025)

CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies
di: Shi, Weiyan, et al.
Pubblicazione: (2024)

Leveraging Multilingual Training for Authorship Representation: Enhancing Generalization across Languages and Domains
di: Kim, Junghwan, et al.
Pubblicazione: (2025)

Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike
di: Winkler, Miriam, et al.
Pubblicazione: (2026)

Attacking Vision-Language Computer Agents via Pop-ups
di: Zhang, Yanzhe, et al.
Pubblicazione: (2024)

Social Skill Training with Large Language Models
di: Yang, Diyi, et al.
Pubblicazione: (2024)

DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
di: Zhang, Zhehao, et al.
Pubblicazione: (2024)

Beyond Consensus: Perspectivist Modeling and Evaluation of Annotator Disagreement in NLP
di: Xu, Yinuo, et al.
Pubblicazione: (2026)

Are Rules Meant to be Broken? Understanding Multilingual Moral Reasoning as a Computational Pipeline with UniMoral
di: Kumar, Shivani, et al.
Pubblicazione: (2025)

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
di: Soni, Nikita, et al.
Pubblicazione: (2024)