Copertina

AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lu, Ximing, Sclar, Melanie, Hallinan, Skyler, Mireshghallah, Niloofar, Liu, Jiacheng, Han, Seungju, Ettinger, Allyson, Jiang, Liwei, Chandu, Khyathi, Dziri, Nouha, Choi, Yejin
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

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
di: Jiang, Liwei, et al.
Pubblicazione: (2024)

WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
di: Han, Seungju, et al.
Pubblicazione: (2024)

The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
di: Hallinan, Skyler, et al.
Pubblicazione: (2025)

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
di: Qiu, Linlu, et al.
Pubblicazione: (2023)

A Roadmap to Pluralistic Alignment
di: Sorensen, Taylor, et al.
Pubblicazione: (2024)

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection
di: Naseh, Ali, et al.
Pubblicazione: (2025)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
di: Lin, Bill Yuchen, et al.
Pubblicazione: (2024)

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
di: Sclar, Melanie, et al.
Pubblicazione: (2023)

Multi-Attribute Constraint Satisfaction via Language Model Rewriting
di: Baheti, Ashutosh, et al.
Pubblicazione: (2024)

StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
di: Fisher, Jillian, et al.
Pubblicazione: (2024)

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
di: Jung, Jaehun, et al.
Pubblicazione: (2025)

RewardBench: Evaluating Reward Models for Language Modeling
di: Lambert, Nathan, et al.
Pubblicazione: (2024)

What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
di: Rao, Kavel, et al.
Pubblicazione: (2023)

Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
di: Chandu, Khyathi Raghavi, et al.
Pubblicazione: (2024)

RESTOR: Knowledge Recovery in Machine Unlearning
di: Rezaei, Keivan, et al.
Pubblicazione: (2024)

L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects
di: Yamada, Yutaro, et al.
Pubblicazione: (2024)

The Art of Saying No: Contextual Noncompliance in Language Models
di: Brahman, Faeze, et al.
Pubblicazione: (2024)

Position: Privacy Is Not Just Memorization!
di: Mireshghallah, Niloofar, et al.
Pubblicazione: (2025)

Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild
di: Mireshghallah, Niloofar, et al.
Pubblicazione: (2024)

Smaller Language Models are Better Black-box Machine-Generated Text Detectors
di: Mireshghallah, Niloofar, et al.
Pubblicazione: (2023)

To Err is AI : A Case Study Informing LLM Flaw Reporting Practices
di: McGregor, Sean, et al.
Pubblicazione: (2024)

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
di: Chen, Tong, et al.
Pubblicazione: (2024)

Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
di: Sorensen, Taylor, et al.
Pubblicazione: (2025)

Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs
di: Kassem, Aly M., et al.
Pubblicazione: (2024)

Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
di: Ravichander, Abhilasha, et al.
Pubblicazione: (2025)

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
di: Sorensen, Taylor, et al.
Pubblicazione: (2023)

Surfacing Semantic Orthogonality Across Model Safety Benchmarks: A Multi-Dimensional Analysis
di: Bennion, Jonathan, et al.
Pubblicazione: (2025)

Tailoring Self-Rationalizers with Multi-Reward Distillation
di: Ramnath, Sahana, et al.
Pubblicazione: (2023)

Anonymous Authentication using Attribute-based Encryption
di: Oualha, Nouha
Pubblicazione: (2025)

Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
di: Jiang, Liwei, et al.
Pubblicazione: (2025)

Reinforcement Learning Improves Traversal of Hierarchical Knowledge in LLMs
di: Zhang, Renfei, et al.
Pubblicazione: (2025)

Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
di: Zhou, Jijie, et al.
Pubblicazione: (2025)

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions
di: Zhou, Xuhui, et al.
Pubblicazione: (2024)

Agent Lumos: Unified and Modular Training for Open-Source Language Agents
di: Yin, Da, et al.
Pubblicazione: (2023)

Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning
di: Srinivasan, Tejas, et al.
Pubblicazione: (2024)

CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting
di: Li, Huihan, et al.
Pubblicazione: (2024)

Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection
di: Ahuja, Kabir, et al.
Pubblicazione: (2025)

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
di: Misra, Kanishka, et al.
Pubblicazione: (2024)

When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models
di: Li, Yanhong, et al.
Pubblicazione: (2024)

Audio-Based Linguistic Feature Extraction for Enhancing Multi-lingual and Low-Resource Text-to-Speech
di: Kim, Youngjae, et al.
Pubblicazione: (2024)