Image de couverture de livre

Can AI mimic the human ability to define neologisms?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Georgiou, Georgios P.
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Differentiating Between Human-Written and AI-Generated Texts Using Automatically Extracted Linguistic Features
par: Georgiou, Georgios P.
Publié: (2024)

Enhancing nonnative speech perception and production through an AI-powered application
par: Georgiou, Georgios P.
Publié: (2025)

Why are LLMs' abilities emergent?
par: Havlík, Vladimír
Publié: (2025)

Can AI Be as Creative as Humans?
par: Wang, Haonan, et autres
Publié: (2024)

Generation Constraint Scaling Can Mitigate Hallucination
par: Kollias, Georgios, et autres
Publié: (2024)

Large Linguistic Models: Investigating LLMs' metalinguistic abilities
par: Beguš, Gašper, et autres
Publié: (2023)

DeepMLF: Multimodal language model with learnable tokens for deep fusion in sentiment analysis
par: Georgiou, Efthymios, et autres
Publié: (2025)

Child vs. machine language learning: Can the logical structure of human language unleash LLMs?
par: Sauerland, Uli, et autres
Publié: (2025)

Can LLMs interpret figurative language as humans do?: surface-level vs representational similarity
par: Bollepally, Samhita, et autres
Publié: (2026)

Can AI Assistants Know What They Don't Know?
par: Cheng, Qinyuan, et autres
Publié: (2024)

Multi-agent AI systems outperform human teams in creativity
par: Hu, Tiancheng, et autres
Publié: (2026)

Factors affecting the in-context learning abilities of LLMs for dialogue state tracking
par: Hegde, Pradyoth, et autres
Publié: (2025)

LongTail-Swap: benchmarking language models' abilities on rare words
par: Algayres, Robin, et autres
Publié: (2025)

On the token distance modeling ability of higher RoPE attention dimension
par: Hong, Xiangyu, et autres
Publié: (2024)

Pay What LLM Wants: Can LLM Simulate Economics Experiment with 522 Real-human Persona?
par: Choi, Junhyuk, et autres
Publié: (2025)

We Can't Understand AI Using our Existing Vocabulary
par: Hewitt, John, et autres
Publié: (2025)

Can Risk-taking AI-Assistants suitably represent entities
par: Mazyaki, Ali, et autres
Publié: (2025)

The power of text similarity in identifying AI-LLM paraphrased documents: The case of BBC news articles and ChatGPT
par: Xylogiannopoulos, Konstantinos, et autres
Publié: (2025)

LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench
par: Valmeekam, Karthik, et autres
Publié: (2024)

ClawBench: Can AI Agents Complete Everyday Online Tasks?
par: Zhang, Yuxuan, et autres
Publié: (2026)

Dialogue You Can Trust: Human and AI Perspectives on Generated Conversations
par: Ebubechukwu, Ike, et autres
Publié: (2024)

ChatGPT produces more "lazy" thinkers: Evidence of cognitive engagement decline
par: Georgiou, Georgios P.
Publié: (2025)

Artificial Intelligence in Pronunciation Teaching: Use and Beliefs of Foreign Language Teachers
par: Georgiou, Georgios P.
Publié: (2025)

The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research?
par: Retkowski, Fabian, et autres
Publié: (2025)

Hey AI Can You Grade My Essay?: Automatic Essay Grading
par: Maliha, Maisha, et autres
Publié: (2024)

Intelligent Documentation in Medical Education: Can AI Replace Manual Case Logging?
par: Khan, Nafiz Imtiaz, et autres
Publié: (2026)

A perishable ability? The future of writing in the face of generative artificial intelligence
par: Cunha, Evandro L. T. P.
Publié: (2025)

Everyone prefers human writers, including AI
par: Haverals, Wouter, et autres
Publié: (2025)

Bench-2-CoP: Can We Trust Benchmarking for EU AI Compliance?
par: Prandi, Matteo, et autres
Publié: (2025)

Can "AI" Be a Doctor? A Study of Empathy, Readability, and Alignment in Clinical LLMs
par: Barone, Mariano, et autres
Publié: (2026)

A funny companion: Distinct neural responses to perceived AI- versus human-generated humor
par: Rao, Xiaohui, et autres
Publié: (2025)

Can AI Validate Science? Benchmarking LLMs for Accurate Scientific Claim $\rightarrow$ Evidence Reasoning
par: Javaji, Shashidhar Reddy, et autres
Publié: (2025)

On the Computability of Artificial General Intelligence
par: Mappouras, Georgios, et autres
Publié: (2025)

SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucination
par: Fallah, Pouya, et autres
Publié: (2024)

CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
par: Chen, Haolin, et autres
Publié: (2026)

Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future
par: Wu, Sihong, et autres
Publié: (2026)

Conversational Process Modeling: Can Generative AI Empower Domain Experts in Creating and Redesigning Process Models?
par: Klievtsova, Nataliia, et autres
Publié: (2023)

Can LLMs Truly Embody Human Personality? Analyzing AI and Human Behavior Alignment in Dispute Resolution
par: Kwon, Deuksin, et autres
Publié: (2026)

AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment
par: Chen, Nuo, et autres
Publié: (2024)

Can AI-Generated Text be Reliably Detected?
par: Sadasivan, Vinu Sankar, et autres
Publié: (2023)