Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena
On the map: LLM reasoning → Reasoning for agents, planning and code
also in 1 more
Abstract (arXiv)
Recent advancements in Large Language Models (LLMs) showcase advanced reasoning, yet NLP evaluations often depend on static benchmarks. Evaluating this necessitates environments that test strategic reasoning in dynamic, competitive scenarios requiring long-term planning. We introduce AucArena, a novel evaluation suite that simulates auctions, a setting chosen for being highly unpredictable and involving many skills related to resource and risk management, while also being easy to evaluate. We conduct controlled experiments using state-of-the-art LLMs to power bidding agents to benchmark their planning and execution skills. Our research demonstrates that LLMs, such as GPT-4, possess key skills for auction participation, such as budget management and goal adherence, which improve with adaptive strategies. This highlights LLMs' potential in modeling complex social interactions in competitive contexts. However, variability in LLM performance and occasional outperformance by simpler methods indicate opportunities for further advancements in LLM design and the value of our simulation environment for ongoing testing and refinement.
Key facts. Cited by 78 papers in the map (data through 7 Oct 2026). Placed in Reasoning for agents, planning and code, one of 17 directions in LLM reasoning. Builds on 43 of its 95 references that are in the map. First posted on arXiv 9 Oct 2023.
Builds on
43 of 95 references.
References · 43
- 2020Language Models are Few-Shot Learnerscited by 32,199
- 2023GPT-4 Technical Reportcited by 18,132
- 2022Training language models to follow instructions with human feedbackcited by 15,712
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
- 2018GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understandingcited by 4,854
- 2022Large Language Models are Zero-Shot Reasonerscited by 4,323
- 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
- 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,064
- 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,747
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
- 2013Playing Atari with Deep Reinforcement Learningcited by 3,211
31 more
- 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,155
- 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
- 2022Emergent Abilities of Large Language Modelscited by 2,483
- 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,302
- 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
- 2023Voyager: An Open-Ended Embodied Agent with Large Language Modelscited by 2,081
- 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 1,908
- 2019SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systemscited by 1,718
- 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
- 2023AgentBench: Evaluating LLMs as Agentscited by 1,211
- 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,210
- 2022WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agentscited by 1,197
- 2023PaLM 2 Technical Reportcited by 1,154
- 2023ExpeL: LLM Agents Are Experiential Learnerscited by 814
- 2021Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategiescited by 736
- 2023AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviorscited by 580
- 2023Cognitive Architectures for Language Agentscited by 422
- 2018TextWorld: A Learning Environment for Text-based Gamescited by 304
- 2022ScienceWorld: Is your Agent Smarter than a 5th Grader?cited by 298
- 2023ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddingscited by 238
- 2023Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedbackcited by 202
- 2023Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Modelscited by 161
- 2022Language Models as Agent Modelscited by 131
- 2023Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Trackercited by 95
- 2023Clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agentscited by 52
- 2023Hoodwinked: Deception and Cooperation in a Text-Based Game for Language Modelscited by 46
- 2023Distilling Script Knowledge from Large Language Models for Constrained Language Planningcited by 45
- 2022Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvementcited by 37
- 2023Interactive Natural Language Processingcited by 31
- 2022Breakpoint Transformers for Modeling and Tracking Intermediate Beliefscited by 6
- 2021Natural-Language Multi-Agent Simulations of Argumentative Opinion Dynamicscited by 5
Built on by
Citing papers per year: 2023: 6; 2024: 29; 2025: 31; 2026: 12.
78 papers.
Sort:
By area:
- 2023Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectivescited by 253
- 2024From Persona to Personalization: A Survey on Role-Playing Language Agentscited by 206
- 2023EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activitiescited by 154
- 2023War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Warscited by 143
- 2024EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithmscited by 109
- 2025Agentic Large Language Models, a surveycited by 105
- 2024LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Modelscited by 97
- 2024GameBench: Evaluating Strategic Reasoning Abilities of LLM Agentscited by 89
- 2024A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challengescited by 86
- 2025PlanGenLLMs: A Modern Survey of LLM Planning Capabilitiescited by 82
- 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 76
- 2024How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environmentscited by 66
38 more
- 2023CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agentscited by 65
- 2024A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Applicationcited by 54
- 2024MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPscited by 45
- 2024Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Methodcited by 44
- 2024Cocoa: Co-Planning and Co-Execution with AI Agentscited by 38
- 2025Large Language Models for Planning: A Comprehensive and Systematic Surveycited by 38
- 2024LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environmentscited by 35
- 2024Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agentscited by 35
- 2023ALYMPICS: LLM Agents Meet Game Theory -- Exploring Strategic Decision-Making with AI Agentscited by 33
- 2025CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agentscited by 32
- 2024When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environmentscited by 25
- 2025SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?cited by 24
- 2024A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarioscited by 23
- 2024TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulationcited by 22
- 2024SelfGoal: Your Language Agents Already Know How to Achieve High-level Goalscited by 21
- 2025SOTOPIA-Omega: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agentscited by 16
- 2025Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compressioncited by 15
- 2025Magentic Marketplace: An Open-Source Environment for Studying Agentic Marketscited by 15
- 2024RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversationscited by 14
- 2025Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontierscited by 14
- 2023Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agentscited by 13
- 2025LiveTradeBench: Seeking Real-World Alpha with Large Language Modelscited by 13
- 2024What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agentscited by 12
- 2024Explaining Large Language Models Decisions Using Shapley Valuescited by 12
- 2024Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Gamecited by 12
- 2024SurveyAgent: A Conversational System for Personalized and Efficient Research Surveycited by 11
- 2026AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactionscited by 11
- 2025Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning Systemcited by 10
- 2025Can Generative AI agents behave like humans? Evidence from laboratory market experimentscited by 10
- 2025LLM Bidders Preserve the Mechanism-Level Orderings of Human Bidderscited by 10
- 2024LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planningcited by 9
- 2025PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attentioncited by 8
- 2025EconEvals: Benchmarks and Litmus Tests for Economic Decision-Making by LLM Agentscited by 8
- 2024Look Further Ahead: Testing the Limits of GPT-4 in Path Planningcited by 7
- 2025Towards Strategic Persuasion with Language Modelscited by 7
- 2024Will GPT-4 Run DOOM?cited by 6
- 2024AgentGroupChat: An Interactive Group Chat Simulacra For Better Eliciting Emergent Behaviorcited by 6
- 2025HARBOR: Exploring Persona Dynamics in Multi-Agent Competitioncited by 6
50 most cited of 78 All 78 (JSON)
- 2026Engineering Simplicity: Simple Mechanism Interfaces Steer LLM Agents28 Sep 2026
- 2026Competitive Market Behavior of LLMs2 Sep 2026
- 2026Can LLM Agents Price Competitively? A Dynamic Multi-Attribute Auction Benchmark for Agentic Commerce30 Jul 2026
- 2026Enhancing Decision-Making with Large Language Models through Multi-Agent Fictitious Play17 Jun 2026
- 2026EconAI: Dynamic Persona Evolution and Memory-Aware Agents in Evolving Economic Environments13 May 2026
- 2026Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling12 May 2026
- 2026Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis24 Apr 2026
- 2026Diversity Without Fidelity: A Solver-Sampler Mismatch in Multi-Agent LLM Negotiation Simulation12 Apr 2026
- 2026Revisiting Gene Ontology Knowledge Discovery with Hierarchical Feature Selection and Virtual Study Group of AI Agents20 Mar 2026
- 2026GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory12 Feb 2026
- 2026AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions5 Feb 2026
- 2026Exploring Implicit Perspectives on Autism in Large Language Models Through Multi-Agent Simulations21 Jan 2026
38 more
- 2025LiveTradeBench: Seeking Real-World Alpha with Large Language Models5 Nov 2025
- 2025CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents4 Nov 2025
- 2025InsurAgent: A Large Language Model-Empowered Agent for Simulating Individual Behavior in Purchasing Flood Insurance3 Nov 2025
- 2025Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets27 Oct 2025
- 2025LLMs Judge Themselves: A Game-Theoretic Framework for Human-Aligned Evaluation17 Oct 2025
- 2025Addressing the alignment problem in transportation policy making: an LLM approach15 Oct 2025
- 2025ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs1 Oct 2025
- 2025Towards Strategic Persuasion with Language Models26 Sep 2025
- 2025Shachi: A Modular, Controllable Framework for LLM-Based Agent-Based Modeling of Emergent Collective Behavior26 Sep 2025
- 2025Shall We Play a Game? Language Models for Open-ended Wargames21 Sep 2025
- 2025Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making21 Aug 2025
- 2025Simulating Human-Like Learning Dynamics with LLM-Empowered Agents7 Aug 2025
- 2025Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework17 Jul 2025
- 2025LLM Bidders Preserve the Mechanism-Level Orderings of Human Bidders12 Jul 2025
- 2025AI Agent Behavioral Science4 Jun 2025
- 2025Large Language Models for Planning: A Comprehensive and Systematic Survey26 May 2025
- 2025Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression26 May 2025
- 2025Cost-Awareness in Tree-Search LLM Planning: A Systematic Study20 May 2025
- 2025Can Generative AI agents behave like humans? Evidence from laboratory market experiments12 May 2025
- 2025PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities21 Apr 2025
- 2025Agentic Large Language Models, a survey29 Mar 2025
- 2025InfoBid: A Simulation Framework for Studying Information Disclosure in Auctions with Large Language Model-based Agents26 Mar 2025
- 2025EconEvals: Benchmarks and Litmus Tests for Economic Decision-Making by LLM Agents24 Mar 2025
- 2025SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?16 Mar 2025
- 2025ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning via Tool-integrated Action for Dynamic Offer Optimization10 Mar 2025
- 2025PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention5 Mar 2025
- 2025SOTOPIA-Omega: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents21 Feb 2025
- 2025HARBOR: Exploring Persona Dynamics in Multi-Agent Competition17 Feb 2025
- 2025Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System17 Feb 2025
- 2025PlanGenLLMs: A Modern Survey of LLM Planning Capabilities16 Feb 2025
- 2025Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers13 Feb 2025
- 2024A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application23 Dec 2024
- 2024Cocoa: Co-Planning and Co-Execution with AI Agents14 Dec 2024
- 2024A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios5 Dec 2024
- 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents4 Dec 2024
- 2024LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning3 Sep 2024
- 2024MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs19 Aug 2024
- 2024When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments15 Jul 2024
50 newest of 78 All 78 (JSON)
- 2023Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectivescited by 253
- 2024From Persona to Personalization: A Survey on Role-Playing Language Agentscited by 206
- 2023War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Warscited by 143
- 2024EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithmscited by 109
- 2025Agentic Large Language Models, a surveycited by 105
- 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 76
- 2024How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environmentscited by 66
- 2023CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agentscited by 65
- 2024A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Applicationcited by 54
- 2024MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPscited by 45
- 2024LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environmentscited by 35
- 2024Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agentscited by 35
12 most cited of 40 All 40 (JSON)
- 2026Engineering Simplicity: Simple Mechanism Interfaces Steer LLM Agents28 Sep 2026
- 2026Competitive Market Behavior of LLMs2 Sep 2026
- 2026Can LLM Agents Price Competitively? A Dynamic Multi-Attribute Auction Benchmark for Agentic Commerce30 Jul 2026
- 2026Enhancing Decision-Making with Large Language Models through Multi-Agent Fictitious Play17 Jun 2026
- 2026EconAI: Dynamic Persona Evolution and Memory-Aware Agents in Evolving Economic Environments13 May 2026
- 2026Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling12 May 2026
- 2026Diversity Without Fidelity: A Solver-Sampler Mismatch in Multi-Agent LLM Negotiation Simulation12 Apr 2026
- 2026AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions5 Feb 2026
- 2026Exploring Implicit Perspectives on Autism in Large Language Models Through Multi-Agent Simulations21 Jan 2026
- 2025CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents4 Nov 2025
- 2025InsurAgent: A Large Language Model-Empowered Agent for Simulating Individual Behavior in Purchasing Flood Insurance3 Nov 2025
- 2025Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets27 Oct 2025
12 newest of 40 All 40 (JSON)
- 2024LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Modelscited by 97
- 2024GameBench: Evaluating Strategic Reasoning Abilities of LLM Agentscited by 89
- 2025Large Language Models for Planning: A Comprehensive and Systematic Surveycited by 38
- 2025SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?cited by 24
- 2023Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agentscited by 13
- 2025LiveTradeBench: Seeking Real-World Alpha with Large Language Modelscited by 13
- 2026Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysiscited by 1
- 2026Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis24 Apr 2026
- 2025LiveTradeBench: Seeking Real-World Alpha with Large Language Models5 Nov 2025
- 2025Large Language Models for Planning: A Comprehensive and Systematic Survey26 May 2025
- 2025SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?16 Mar 2025
- 2024GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents7 Jun 2024
- 2024LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models1 Apr 2024
- 2023Towards Responsible Generative AI: A Reference Architecture for Designing Foundation Model based Agents22 Nov 2023
- 2024A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challengescited by 86
- 2025PlanGenLLMs: A Modern Survey of LLM Planning Capabilitiescited by 82
- 2024Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Methodcited by 44
- 2024Cocoa: Co-Planning and Co-Execution with AI Agentscited by 38
- 2024When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environmentscited by 25
- 2024RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversationscited by 14
- 2025Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontierscited by 14
- 2024Explaining Large Language Models Decisions Using Shapley Valuescited by 12
- 2024Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Gamecited by 12
- 2024SurveyAgent: A Conversational System for Personalized and Efficient Research Surveycited by 11
- 2025LLM Bidders Preserve the Mechanism-Level Orderings of Human Bidderscited by 10
- 2024LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planningcited by 9
12 most cited of 28 All 28 (JSON)
- 2026Revisiting Gene Ontology Knowledge Discovery with Hierarchical Feature Selection and Virtual Study Group of AI Agents20 Mar 2026
- 2026GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory12 Feb 2026
- 2025Addressing the alignment problem in transportation policy making: an LLM approach15 Oct 2025
- 2025ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs1 Oct 2025
- 2025Towards Strategic Persuasion with Language Models26 Sep 2025
- 2025Shall We Play a Game? Language Models for Open-ended Wargames21 Sep 2025
- 2025Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making21 Aug 2025
- 2025Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework17 Jul 2025
- 2025LLM Bidders Preserve the Mechanism-Level Orderings of Human Bidders12 Jul 2025
- 2025Cost-Awareness in Tree-Search LLM Planning: A Systematic Study20 May 2025
- 2025ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning via Tool-integrated Action for Dynamic Offer Optimization10 Mar 2025
- 2025PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention5 Mar 2025
12 newest of 28 All 28 (JSON)
Similar, not cited
Close in wording, no citation either way
- 2024STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making
- 2026Cattle Trade: A Multi-Agent Benchmark for LLM Bluffing, Bidding, and Bargaining
- 2025Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making
- 2026Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation
- 2026GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models
- 2024Reproducing and Extending Experiments in Behavioral Strategy with Large Language Models
- 2026Agentic Trading: When LLM Agents Meet Financial Markets
- 2026Beyond Scaling: Assessing Strategic Reasoning and Rapid Decision-Making Capability of LLMs in Zero-sum Environments