Copertina

What Kind of Reasoning (if any) is an LLM actually doing? On the Stochastic Nature and Abductive Appearance of Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Floridi, Luciano, Morley, Jessica, Novelli, Claudio, Watson, David
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Robust Governance for the AI Act: AI Office, AI Board, Scientific Panel, and National Authorities
di: Novelli, Claudio, et al.
Pubblicazione: (2024)

Abductive Reasoning with Syllogistic Forms in Large Language Models
di: Abe, Hirohiko, et al.
Pubblicazione: (2026)

Agentic AI Optimisation (AAIO): what it is, how it works, why it matters, and how to deal with it
di: Floridi, Luciano, et al.
Pubblicazione: (2025)

NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
di: Liang, Feng, et al.
Pubblicazione: (2025)

The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other?
di: Mokander, Jakob, et al.
Pubblicazione: (2024)

Do Language Models Follow Occam's Razor? An Evaluation of Parsimony in Inductive and Abductive Reasoning
di: Sun, Yunxin, et al.
Pubblicazione: (2025)

Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
di: Novelli, Claudio, et al.
Pubblicazione: (2024)

Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
di: Abdaljalil, Samir, et al.
Pubblicazione: (2025)

A Conjecture on a Fundamental Trade-Off between Certainty and Scope in Symbolic and Generative AI
di: Floridi, Luciano
Pubblicazione: (2025)

A Categorical Analysis of Large Language Models and Why LLMs Circumvent the Symbol Grounding Problem
di: Floridi, Luciano, et al.
Pubblicazione: (2025)

SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models
di: Cao, Pengfei, et al.
Pubblicazione: (2026)

The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems
di: Mokander, Jakob, et al.
Pubblicazione: (2024)

From We to Me: Theory Informed Narrative Shift with Abductive Reasoning
di: Patil, Jaikrishna Manojkumar, et al.
Pubblicazione: (2026)

Abductive Inference in Retrieval-Augmented Language Models: Generating and Validating Missing Premises
di: Lin, Shiyin
Pubblicazione: (2025)

GEAR: A General Evaluation Framework for Abductive Reasoning
di: He, Kaiyu, et al.
Pubblicazione: (2025)

Artificial Intelligence for the Internal Democracy of Political Parties
di: Novelli, Claudio, et al.
Pubblicazione: (2024)

Value Entanglement: Conflation Between Different Kinds of Good In (Some) Large Language Models
di: Cho, Seong Hah, et al.
Pubblicazione: (2026)

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
di: Bai, Jiaxin, et al.
Pubblicazione: (2023)

MolQuest: A Benchmark for Agentic Evaluation of Abductive Reasoning in Chemical Structure Elucidation
di: Han, Taolin, et al.
Pubblicazione: (2026)

Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models
di: Zheng, Zi'ou, et al.
Pubblicazione: (2024)

What is an "Abstract Reasoner"? Revisiting Experiments and Arguments about Large Language Models
di: Yun, Tian, et al.
Pubblicazione: (2025)

From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Training Retrieval-Augmented Generation Agents
di: Li, Muzhi, et al.
Pubblicazione: (2025)

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
di: Hao, Shibo, et al.
Pubblicazione: (2024)

What Really Controls Temporal Reasoning in Large Language Models: Tokenisation or Representation of Time?
di: Bhatia, Gagan, et al.
Pubblicazione: (2026)

Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback
di: Zhang, Xiaoying, et al.
Pubblicazione: (2025)

Can Large Language Models do Analytical Reasoning?
di: Hu, Yebowen, et al.
Pubblicazione: (2024)

FeRG-LLM : Feature Engineering by Reason Generation Large Language Models
di: Ko, Jeonghyun, et al.
Pubblicazione: (2025)

LLM2: Let Large Language Models Harness System 2 Reasoning
di: Yang, Cheng, et al.
Pubblicazione: (2024)

ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models
di: Dejl, Adam, et al.
Pubblicazione: (2026)

LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions
di: Ishay, Adam, et al.
Pubblicazione: (2025)

EmoLLM: Appraisal-Grounded Cognitive-Emotional Co-Reasoning in Large Language Models
di: Zhang, Yifei, et al.
Pubblicazione: (2026)

What's in an embedding? Would a rose by any embedding smell as sweet?
di: Venkatasubramanian, Venkat
Pubblicazione: (2024)

Reasoning with Natural Language Explanations
di: Valentino, Marco, et al.
Pubblicazione: (2024)

Human-Alignment and Calibration of Inference-Time Uncertainty in Large Language Models
di: Moore, Kyle, et al.
Pubblicazione: (2025)

Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
di: Wu, Yulong, et al.
Pubblicazione: (2025)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
di: Xu, Fengli, et al.
Pubblicazione: (2025)

Large Language Models Are Neurosymbolic Reasoners
di: Fang, Meng, et al.
Pubblicazione: (2024)

Who Reasons in the Large Language Models?
di: Shao, Jie, et al.
Pubblicazione: (2025)

Agentic Reasoning for Large Language Models
di: Wei, Tianxin, et al.
Pubblicazione: (2026)

Large Language Models are Contrastive Reasoners
di: Yao, Liang
Pubblicazione: (2024)