Copertina

Next-Generation Simulation Illuminates Scientific Problems of Organised Complexity

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Cheng, Wang, Chuwen, Zhang, Wang, Zeng, Shirong, Zhao, Yu, Ning, Ronghui, Jiang, Changjun
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large Language Models Need Consultants for Reasoning: Becoming an Expert in a Complex Human System Through Behavior Simulation
di: Wang, Chuwen, et al.
Pubblicazione: (2024)

Advanced simulation paradigm of human behaviour unveils complex financial systemic projection
di: Wang, Cheng, et al.
Pubblicazione: (2025)

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation
di: Jiang, Yongqing, et al.
Pubblicazione: (2026)

Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection
di: Xiang, Sheng, et al.
Pubblicazione: (2025)

Post-hoc Interpretability Illumination for Scientific Interaction Discovery
di: Zhang, Ling, et al.
Pubblicazione: (2024)

A Scenario-Driven Cognitive Approach to Next-Generation AI Memory
di: Cai, Linyue, et al.
Pubblicazione: (2025)

BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery
di: Qin, Yao, et al.
Pubblicazione: (2026)

Safety of Embodied Navigation: A Survey
di: Wang, Zixia, et al.
Pubblicazione: (2025)

Fractal Patterns May Illuminate the Success of Next-Token Prediction
di: Alabdulmohsin, Ibrahim, et al.
Pubblicazione: (2024)

Generating Graph-like Rules for Knowledge Graph Reasoning via Diffusion Models
di: Cheng, Haoxiang, et al.
Pubblicazione: (2026)

aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
di: Zhang, Pengsong, et al.
Pubblicazione: (2025)

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
di: Huang, Jiani, et al.
Pubblicazione: (2025)

SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation
di: Huang, Lei, et al.
Pubblicazione: (2025)

Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation
di: Inferix Team, et al.
Pubblicazione: (2025)

YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models
di: Wang, Lei, et al.
Pubblicazione: (2025)

SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
di: Shi, Xiaofeng, et al.
Pubblicazione: (2025)

From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company
di: Yu, Zhengxu, et al.
Pubblicazione: (2026)

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making
di: Cheng, Yang, et al.
Pubblicazione: (2025)

Vertex Features for Neural Global Illumination
di: Su, Rui, et al.
Pubblicazione: (2025)

DiagramRAG: A Lightweight Framework to Retrieve Scientific Diagram for Figure Generation
di: Yu, Xinjiang, et al.
Pubblicazione: (2026)

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning?
di: Wang, Xin, et al.
Pubblicazione: (2025)

Where Would I Go Next? Large Language Models as Human Mobility Predictors
di: Wang, Xinglei, et al.
Pubblicazione: (2023)

Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction
di: Liu, Shuai, et al.
Pubblicazione: (2025)

G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design
di: Zhao, Baoyun, et al.
Pubblicazione: (2026)

Frontier: Simulating the Next Generation of LLM Inference Systems
di: Feng, Yicheng, et al.
Pubblicazione: (2025)

AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
di: Xiong, Lei, et al.
Pubblicazione: (2026)

CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing
di: Wang, Zixia, et al.
Pubblicazione: (2025)

P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads
di: Luo, Yun, et al.
Pubblicazione: (2026)

Scientific Logicality Enriched Methodology for LLM Reasoning: A Practice in Physics
di: Yu, Zhaoxin, et al.
Pubblicazione: (2026)

Geometry-Aware Global Feature Aggregation for Real-Time Indirect Illumination
di: Gai, Meng, et al.
Pubblicazione: (2025)

LLM Applications: Current Paradigms and the Next Frontier
di: Hou, Xinyi, et al.
Pubblicazione: (2025)

Multi-LLM Collaborative Search for Complex Problem Solving
di: Yang, Sen, et al.
Pubblicazione: (2025)

LLMs can Realize Combinatorial Creativity: Generating Creative Ideas via LLMs for Scientific Research
di: Gu, Tianyang, et al.
Pubblicazione: (2024)

Geography-Aware Large Language Models for Next POI Recommendation
di: Liu, Zhao, et al.
Pubblicazione: (2025)

Posterior-First Neural PDE Simulation: Inferring Hidden Problem State from a Single Field
di: Wang, Wenshuo, et al.
Pubblicazione: (2026)

Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks
di: Liu, Shixuan, et al.
Pubblicazione: (2023)

KISS - Knowledge Infrastructure for Scientific Simulation: A Scaffolding for Agentic Earth Science
di: Li, Ziwei, et al.
Pubblicazione: (2026)

SciIF: Benchmarking Scientific Instruction Following Towards Rigorous Scientific Intelligence
di: Su, Encheng, et al.
Pubblicazione: (2026)

SciNews: From Scholarly Complexities to Public Narratives -- A Dataset for Scientific News Report Generation
di: Liu, Dongqi, et al.
Pubblicazione: (2024)

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models
di: Ning, Liangbo, et al.
Pubblicazione: (2025)