Copertina

The 20 questions game to distinguish large language models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Richardeau, Gurvan, Merrer, Erwan Le, Penzo, Camilla, Tredan, Gilles
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LLMs Prompted for Graphs: Hallucinations and Generative Capabilities
di: Richardeau, Gurvan, et al.
Pubblicazione: (2024)

Under manipulations, are some AI models harder to audit?
di: Godinot, Augustin, et al.
Pubblicazione: (2024)

Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes
di: Godinot, Augustin, et al.
Pubblicazione: (2024)

Enhancing textual textbook question answering with large language models and retrieval augmented generation
di: Alawwad, Hessa Abdulrahman, et al.
Pubblicazione: (2024)

Evidence of interrelated cognitive-like capabilities in large language models: Indications of artificial general intelligence or achievement?
di: Ilić, David, et al.
Pubblicazione: (2023)

Answering real-world clinical questions using large language model based systems
di: Low, Yen Sia, et al.
Pubblicazione: (2024)

Multi-step retrieval and reasoning improves radiology question answering with large language models
di: Wind, Sebastian, et al.
Pubblicazione: (2025)

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

Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model
di: Yuan, Mingruo, et al.
Pubblicazione: (2025)

Chapter Challenges in archiving the personalized web
di: Penzo, Camilla, et al.
Pubblicazione: (2024)

On the attribution of confidence to large language models
di: Keeling, Geoff, et al.
Pubblicazione: (2024)

Mathematics with large language models as provers and verifiers
di: Duc, Hieu Le, et al.
Pubblicazione: (2025)

Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing
di: Bourrée, Jade Garcia, et al.
Pubblicazione: (2023)

Long-form factuality in large language models
di: Wei, Jerry, et al.
Pubblicazione: (2024)

TechGPT-2.0: A large language model project to solve the task of knowledge graph construction
di: Wang, Jiaqi, et al.
Pubblicazione: (2024)

Multi-round jailbreak attack on large language models
di: Zhou, Yihua, et al.
Pubblicazione: (2024)

Quantifying non deterministic drift in large language models
di: Nicholson, Claire
Pubblicazione: (2026)

Can large language models build causal graphs?
di: Long, Stephanie, et al.
Pubblicazione: (2023)

Response: Emergent analogical reasoning in large language models
di: Hodel, Damian, et al.
Pubblicazione: (2023)

Representation in large language models
di: Yetman, Cameron
Pubblicazione: (2025)

Social preferences with unstable interactive reasoning: Large language models in economic trust games
di: Jiamin, Ou, et al.
Pubblicazione: (2025)

Failure of contextual invariance in large language models
di: Kumar, Sagar, et al.
Pubblicazione: (2026)

A survey of textual cyber abuse detection using cutting-edge language models and large language models
di: Diaz-Garcia, Jose A., et al.
Pubblicazione: (2025)

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

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

A review on the use of large language models as virtual tutors
di: García-Méndez, Silvia, et al.
Pubblicazione: (2024)

Evaluating large language models in medical applications: a survey
di: Chen, Xiaolan, et al.
Pubblicazione: (2024)

MathDivide: Improved mathematical reasoning by large language models
di: Srivastava, Saksham Sahai, et al.
Pubblicazione: (2024)

Streamlining evidence based clinical recommendations with large language models
di: Li, Dubai, et al.
Pubblicazione: (2025)

Re-evaluating Theory of Mind evaluation in large language models
di: Hu, Jennifer, et al.
Pubblicazione: (2025)

Disentangling generalization and memorization in large language models using chess
di: Pleiss, Leonard S., et al.
Pubblicazione: (2026)

AI-AI Bias: large language models favor communications generated by large language models
di: Laurito, Walter, et al.
Pubblicazione: (2024)

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

Optimizing watermarks for large language models
di: Wouters, Bram
Pubblicazione: (2023)

OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
di: Maharjan, Jenish, et al.
Pubblicazione: (2024)

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

Performance of leading large language models in May 2025 in Membership of the Royal College of General Practitioners-style examination questions: a cross-sectional analysis
di: Armitage, Richard
Pubblicazione: (2025)

Entry-level guide to the use of large language models for medical research
di: Jin, Qiao, et al.
Pubblicazione: (2024)

Facilitating large language model Russian adaptation with Learned Embedding Propagation
di: Tikhomirov, Mikhail, et al.
Pubblicazione: (2024)

MacBehaviour: An R package for behavioural experimentation on large language models
di: Duan, Xufeng, et al.
Pubblicazione: (2024)