Copertina

AnthroScore: A Computational Linguistic Measure of Anthropomorphism

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cheng, Myra, Gligoric, Kristina, Piccardi, Tiziano, Jurafsky, Dan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

HumT DumT: Measuring and controlling human-like language in LLMs
di: Cheng, Myra, et al.
Pubblicazione: (2025)

What can large language models do for sustainable food?
di: Thomas, Anna T., et al.
Pubblicazione: (2025)

Othering and low status framing of immigrant cuisines in US restaurant reviews and large language models
di: Luo, Yiwei, et al.
Pubblicazione: (2023)

SWAY: A Counterfactual Computational Linguistic Approach to Measuring and Mitigating Sycophancy
di: Bhalla, Joy, et al.
Pubblicazione: (2026)

Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs
di: Cheng, Myra, et al.
Pubblicazione: (2026)

In-class Data Analysis Replications: Teaching Students while Testing Science
di: Gligoric, Kristina, et al.
Pubblicazione: (2023)

ELEPHANT: Measuring and understanding social sycophancy in LLMs
di: Cheng, Myra, et al.
Pubblicazione: (2025)

NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps
di: Gligoric, Kristina, et al.
Pubblicazione: (2024)

Can Unconfident LLM Annotations Be Used for Confident Conclusions?
di: Gligorić, Kristina, et al.
Pubblicazione: (2024)

Impacts of Anthropomorphizing Large Language Models in Learning Environments
di: Schaaff, Kristina, et al.
Pubblicazione: (2024)

"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI
di: Cheng, Myra, et al.
Pubblicazione: (2024)

Dialect prejudice predicts AI decisions about people's character, employability, and criminality
di: Hofmann, Valentin, et al.
Pubblicazione: (2024)

Verbalizing LLMs' assumptions to explain and control sycophancy
di: Cheng, Myra, et al.
Pubblicazione: (2026)

A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies
di: DeVrio, Alicia, et al.
Pubblicazione: (2025)

From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors
di: Cheng, Myra, et al.
Pubblicazione: (2025)

Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
di: Suzgun, Mirac, et al.
Pubblicazione: (2024)

Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence
di: Cheng, Myra, et al.
Pubblicazione: (2025)

Generation Space Size: Understanding and Calibrating Open-Endedness of LLM Generations
di: Yu, Sunny, et al.
Pubblicazione: (2025)

Attention to Non-Adopters
di: Zhou, Kaitlyn, et al.
Pubblicazione: (2025)

Measuring What Matters -- or What's Convenient?: Robustness of LLM-Based Scoring Systems to Construct-Irrelevant Factors
di: Walsh, Cole, et al.
Pubblicazione: (2026)

Augmenting Rating-Scale Measures with Text-Derived Items Using the Information-Determined Scoring (IDS) Framework
di: Watson, Joe, et al.
Pubblicazione: (2025)

A Linguistic Comparison between Human and ChatGPT-Generated Conversations
di: Sandler, Morgan, et al.
Pubblicazione: (2024)

Safe in the Future, Dangerous in the Past: Dissecting Temporal and Linguistic Vulnerabilities in LLMs
di: Said, Muhammad Abdullahi, et al.
Pubblicazione: (2025)

LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Models
di: Frisch, Ivar, et al.
Pubblicazione: (2024)

Dehumanizing Machines: Mitigating Anthropomorphic Behaviors in Text Generation Systems
di: Cheng, Myra, et al.
Pubblicazione: (2025)

Applied Sociolinguistic AI for Community Development (ASA-CD): A New Scientific Paradigm for Linguistically-Grounded Social Intervention
di: Alam, S M Ruhul, et al.
Pubblicazione: (2026)

Must Read: A Comprehensive Survey of Computational Persuasion
di: Bozdag, Nimet Beyza, et al.
Pubblicazione: (2025)

Cultural Compass: A Framework for Organizing Societal Norms to Detect Violations in Human-AI Conversations
di: Cheng, Myra, et al.
Pubblicazione: (2026)

Meat-Free Day Reduces Greenhouse Gas Emissions but Poses Challenges for Customer Retention and Adherence to Dietary Guidelines
di: Russo, Giuseppe, et al.
Pubblicazione: (2025)

In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores
di: Tang, Zeyu, et al.
Pubblicazione: (2026)

Using GPT-4 to Augment Unbalanced Data for Automatic Scoring
di: Fang, Luyang, et al.
Pubblicazione: (2023)

Artificial Intelligence Bias on English Language Learners in Automatic Scoring
di: Guo, Shuchen, et al.
Pubblicazione: (2025)

Validity Arguments For Constructed Response Scoring Using Generative Artificial Intelligence Applications
di: Casabianca, Jodi M., et al.
Pubblicazione: (2025)

From Feature-Based Models to Generative AI: Validity Evidence for Constructed Response Scoring
di: Casabianca, Jodi M., et al.
Pubblicazione: (2026)

Measuring Teaching with LLMs
di: Hardy, Michael
Pubblicazione: (2025)

Towards Measuring and Modeling "Culture" in LLMs: A Survey
di: Adilazuarda, Muhammad Farid, et al.
Pubblicazione: (2024)

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

Computational Measurement of Political Positions: A Review of Text-Based Ideal Point Estimation Algorithms
di: Parschan, Patrick, et al.
Pubblicazione: (2025)

Measuring Human Contribution in AI-Assisted Content Generation
di: Xie, Yueqi, et al.
Pubblicazione: (2024)

Measuring Political Preferences in AI Systems: An Integrative Approach
di: Rozado, David
Pubblicazione: (2025)