Copertina

State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wong, Annie, Plaat, Aske, Bäck, Thomas, van Stein, Niki, Kononova, Anna V.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reasoning Capabilities of Large Language Models on Dynamic Tasks
di: Wong, Annie, et al.
Pubblicazione: (2025)

Multi-Step Reasoning with Large Language Models, a Survey
di: Plaat, Aske, et al.
Pubblicazione: (2024)

How does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding
di: Chen, Xi, et al.
Pubblicazione: (2025)

Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks
di: Wong, Annie, et al.
Pubblicazione: (2024)

Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
di: van Stein, Niki, et al.
Pubblicazione: (2025)

Agentic Large Language Models, a survey
di: Plaat, Aske, et al.
Pubblicazione: (2025)

From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
di: van Stein, Niki, et al.
Pubblicazione: (2025)

CoComposer: LLM Multi-agent Collaborative Music Composition
di: Xing, Peiwen, et al.
Pubblicazione: (2025)

BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
di: van Stein, Niki, et al.
Pubblicazione: (2025)

LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
di: van Stein, Niki, et al.
Pubblicazione: (2026)

Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment
di: Da Ros, Francesca, et al.
Pubblicazione: (2026)

Explainable Benchmarking for Iterative Optimization Heuristics
di: van Stein, Niki, et al.
Pubblicazione: (2024)

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
di: Yin, Haoran, et al.
Pubblicazione: (2024)

Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery
di: Yin, Haoran, et al.
Pubblicazione: (2025)

LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
di: van Stein, Niki, et al.
Pubblicazione: (2024)

Research Re: search & Re-search
di: Plaat, Aske
Pubblicazione: (2024)

Baba is LLM: Reasoning in a Game with Dynamic Rules
di: van Wetten, Fien, et al.
Pubblicazione: (2025)

Behaviour Space Analysis of LLM-driven Meta-heuristic Discovery
di: van Stein, Niki, et al.
Pubblicazione: (2025)

A Functional Analysis Approach to Symbolic Regression
di: Antonov, Kirill, et al.
Pubblicazione: (2024)

A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories
di: van Stein, Niki, et al.
Pubblicazione: (2024)

Structural bias in multi-objective optimisation
di: Kudela, Jakub, et al.
Pubblicazione: (2026)

EconoJax: A Fast & Scalable Economic Simulation in Jax
di: Ponse, Koen, et al.
Pubblicazione: (2024)

In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics
di: van Stein, Niki, et al.
Pubblicazione: (2024)

Explicitly Disentangled Representations in Object-Centric Learning
di: Majellaro, Riccardo, et al.
Pubblicazione: (2024)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
di: Park, Cheonbok, et al.
Pubblicazione: (2025)

Premise Order Matters in Reasoning with Large Language Models
di: Chen, Xinyun, et al.
Pubblicazione: (2024)

A Hybrid Intelligence Method for Argument Mining
di: van der Meer, Michiel, et al.
Pubblicazione: (2024)

Harmonic Reasoning in Large Language Models
di: Kruspe, Anna
Pubblicazione: (2024)

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications
di: Chauhan, Dikshit, et al.
Pubblicazione: (2025)

Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment
di: Huang, Allison, et al.
Pubblicazione: (2024)

Analysis of Bluffing by DQN and CFR in Leduc Hold'em Poker
di: Zaciragic, Tarik, et al.
Pubblicazione: (2025)

Under the Shadow of Babel: How Language Shapes Reasoning in LLMs
di: Wang, Chenxi, et al.
Pubblicazione: (2025)

Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
di: Wang, Rui, et al.
Pubblicazione: (2025)

Spatiotemporal Hidden-State Dynamics as a Signature of Internal Reasoning in Large Language Models
di: Furuya, Kotaro, et al.
Pubblicazione: (2026)

Multi-Agent Influence Diagrams to Hybrid Threat Modeling
di: Vonk, Maarten C., et al.
Pubblicazione: (2026)

Instruction Following by Principled Boosting Attention of Large Language Models
di: Guardieiro, Vitoria, et al.
Pubblicazione: (2025)

DETAIL Matters: Measuring the Impact of Prompt Specificity on Reasoning in Large Language Models
di: Kim, Olivia
Pubblicazione: (2025)

Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning
di: Jo, Hwiyeol, et al.
Pubblicazione: (2025)

Reset-free Reinforcement Learning with World Models
di: Yang, Zhao, et al.
Pubblicazione: (2024)

Dissecting Failure Dynamics in Large Language Model Reasoning
di: Zhu, Wei, et al.
Pubblicazione: (2026)