Large Language Model-Based Simulation

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30 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

GAUSS: A Workload-Aware Analytical and Monte-Carlo Simulator for LLM Inference Serving
Oct 27, 2026Srikant Bharadwaj, Ankur Mallick, Spyridon Mastorakis +3Large Language Model-Based Simulation LLM Serving
Microsoft
MarkovSim: an LLM Agent Harness with Bounded Context for Long-Horizon Computational Simulation
Oct 26, 2026Yeui-Lung Lei, Wen-Bo Chen, Pan ZhangLLM Agent Harnesses Large Language Model-Based Simulation
College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, China · Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.
WorldSolver: Can LLM Agents Simulate the Physical Dynamics via Solver Generation?
Oct 6, 2026Siru Jiang, Yongzhe Lyu, Shuo Lu +6Large Language Model-Based Simulation Physics-Based Simulation
NLPR & MAIS, CASIA · PKU · Huawei Noah’s Ark Lab
SimAuthor: Harnessing Foundation Models for Persistent Scientific Simulator Authoring
Oct 5, 2026Yishan Wang, Ran Piao, Mathias Funk +1LLM-Based Program Synthesis Scientific Code Generation
Eindhoven University of Technology
From Learner Behavior to Reusable Skills for Effective and Efficient Learner Simulation
Sep 29, 2026Zijian Chen, Zheng Zhang, Miao Jia +3Large Language Model-Based Role-Play Simulation LLM Agent Skill Learning
National University of Defense Technology · Nanyang Technological University · The Hong Kong Polytechnic University +1
SimSkill: A Self-Evolving LLM Agent for Skill and Knowledge Accumulation in Traffic Simulation
Sep 3, 2026Qi Liu, Qinzheng Wang, Can Li +2Continual Learning for LLM Agents LLM Agent Self-Improvement
School of Transportation, Jilin University, 5988 Renmin St., Changchun, Jilin 130022, China · Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation, Tongji University, 4800 Cao’an Rd., Shanghai 201804, China
What Do CAE Simulation Agents Really Need Beyond a Generic Harness?
Sep 3, 2026Jiasheng Shi, Tianhan ZhangMulti-Agent LLM Systems LLM Agent Evaluation
DP Technology · Beijing, China · School of Astronautics, Beihang University +1
Classic AI Scaffolding for LLM Social Agents
Sep 1, 2026Anatole GershmanCognitive Architectures for AI Agents Human Behavior Simulation
Carnegie Mellon University (retired)
"Act Like a 5th Grader" is Not Enough: Bounding Knowledge in LLM-Based User Simulators
Aug 30, 2026Krisztian Balog, Arild Michel BakkenComputational Cognitive Modeling Human Behavior Simulation
University of Stavanger, Norway
Simthesizer: An Agent-Driven Simulation Framework for LLM Serving Systems
Aug 25, 2026Wonung Kim, Hyunmin Choi, Minsu Kim +3Large Language Model-Based Simulation LLM Serving
KAIST Daejeon, Republic of Korea
When Stories Evolve: Benchmarking LLM Storytelling Across Agent Architectures in Open-Ended World Simulations
Aug 16, 2026Yuqi Chen, Sixuan Li, Yunfeng Cai +3Narrative Generation Language Model Generation Evaluation
The University of Hong Kong · Peking University · Beijing Institute of Mathematical Sciences and Applications (BIMSA) +1
INSIDE the Student's Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators
Aug 11, 2026Rose Niousha, Minwoo Kang, Narges NorouziLLM Fine-Tuning CoT Reasoning
Department of Electrical Engineering and Computer Sciences University of California, Berkeley
From Score Matrices to Football-Aware Match-State Simulation: An Auditable LLM Harness for Exact-Score Reranking
Aug 5, 2026Shaopeng LiangProbabilistic Forecasting Large Language Model-Based Simulation
Independent Researcher
Artificial Intelligence and Modeling & Simulation: An Overview
Aug 1, 2026Niclas Feldkamp, Philippe J. Giabbanelli, Istvan DavidAI for Science Large Language Model-Based Simulation
Technische Universität Ilmenau, Germany · VMASC, Old Dominion University, USA · McSCert, McMaster University, Canada
Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation
Jul 20, 2026Siddharth Mishra-SharmaSimulation-Based Inference Parameter Estimation
Faculty of Computing & Data Sciences Boston University · Boston University
AgoraSim: A Hybrid Agent-Based Modeling Framework
Jul 7, 2026Chung-Chi ChenHuman Behavior Simulation LLM Agent Orchestration
Human-Agent Ally Lab (HAA Lab) National Institute of Informatics, Japan
Qwen-AgentWorld: Language World Models for General Agents
Jun 23, 2026Yuxin Zuo, Zikai Xiao, Li Sheng +30LLM World Models Agentic RL
Qwen Team
Simulate, Reason, Decide: Scientific Reasoning with LLMs for Simulation-Driven Decision Making
Jun 3, 2026Yuhan Yang, Ruipu Li, Alexander RodríguezAI for Science Neuro-Symbolic Reasoning
Computer Science and Engineering University of Michigan
Simulating Human Memory with Language Models
May 25, 2026Qihan Wang, Nicholas Tomlin, Michael Hu +2User Simulation Memory-Augmented Language Models
NYU · UMass Amherst
What Will Happen Next: Large Models-Driven Deduction for Emergency Instances
May 9, 2026Zhengqing Hu, Dong Chen, Junkun Yuan +6Large Language Model-Based Simulation
EnvSimBench: A Benchmark for Evaluating and Improving LLM-Based Environment Simulation
May 8, 2026Yi Liu, TingFeng Hui, Wei Zhang +4AI Agent Evaluation AI Agent Benchmarks
Beijing University of Posts and Telecommunications · The Hong Kong University of Science and Technology · Chongqing University
SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization
Apr 19, 2026Yuncheng Hua, Sion Weatherhead, Mehdi Jafari +2Evolutionary Optimization Large Language Model-Based Simulation
School of Computer Science and Engineering, University of New South Wales, Australia
SimMOF: AI agent for Automated MOF Simulations
Mar 31, 2026Jaewoong Lee, Taeun Bae, Jihan KimMetal-Organic Frameworks Scientific Workflow Automation
Department of chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
On Integrating Resilience and Human Oversight into LLM-Assisted Modeling Workflows for Digital Twins
Mar 26, 2026Lekshmi P, Neha KaranjkarLarge Language Model-Based Simulation Digital Twins
Indian Institute of Technology Goa Goa, India
FactorSmith: Agentic Simulation Generation via Markov Decision Process Decomposition with Planner-Designer-Critic Refinement
Mar 15, 2026Ali Shamsaddinlou, Morteza NourelahiAlamdariRobust Partially Observable Markov Decision Processes Large Language Model-Based Simulation
SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs
Mar 11, 2026Yadi Cao, Sicheng Lai, Jiahe Huang +12Large Language Model-Based Simulation AI Agent Benchmarks
University of California San Diego · The Chinese University of Hong Kong, Shenzhen · Peking University +3
AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
Mar 8, 2026Changyi Li, Pengfei Lu, Xudong Pan +2Large Language Model-Based Simulation Language Model Safety Evaluation
Fudan University, Shanghai, China · Shanghai Innovation Institute, Shanghai, China · University of Oxford, Oxford, United Kingdom +2
MOOSEnger: A Simulation-Aware AI Agent Framework for the MOOSE Ecosystem
Mar 5, 2026Mengnan Li, Jason Miller, Zaid Abulawi +7AI Agent Reliability Agentic Code Generation
Idaho National Laboratory, 995 MK Simpson Blvd, Idaho Falls, 83401, ID, USA
LLMServingSim 2.0: A Unified Simulator for Heterogeneous and Disaggregated LLM Serving Infrastructure
Feb 26, 2026Jaehong Cho, Hyunmin Choi, Guseul Heo +1Large Language Model-Based Simulation LLM Serving
School of Computing KAIST Daejeon, South Korea
WebWorld: A Large-Scale World Model for Web Agent Training
Feb 16, 2026Zikai Xiao, Jianhong Tu, Chuhang Zou +7LLM World Models World Model Learning
Qwen Team, Alibaba Group · Zhejiang University

Oct 27, 2026J/K move · Enter open · S save

GAUSS: A Workload-Aware Analytical and Monte-Carlo Simulator for LLM Inference Serving

Srikant Bharadwaj, Ankur Mallick, Spyridon Mastorakis, Anjaly Parayil+2

Microsoft

Large Language Model-Based Simulation LLM Serving LLM Inference Serving Language Model Performance Prediction

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Large language model (LLM) inference has become an operational workload that fleets must provision, monitor, and bill against latency service-level objectives (SLOs). A single throughput number cannot answer the questions operators actually face, because generative serving couples two phases with very different service characteristics, continuous batching reshapes the effective service process, and user-visible tail latency can degrade long before aggregate throughput saturates. We present GAUSS, a workload-aware analytical and Monte-Carlo simulator that predicts the full distributions of time-to-first-token (TTFT) and time-between-tokens (TBT), together with the sustainable request rate, for a given workload, engine, and accelerator. GAUSS pairs calibrated, phase-specific latency surfaces for prefill and decode with a Lindley-recurrence model of queueing under stochastic arrivals and estimates performance by ensemble Monte-Carlo sampling rather than by replaying a single trace. This lets GAUSS reason about workloads, routing policies, and hardware that have never been deployed, and to capture the latency tails that trace-driven simulators systematically under-sample. We describe the model and show how it supports operating-point selection, traffic segmentation, and shortest-remaining-processing-time scheduling capacity questions that trace-driven simulators cannot address.