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CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas Long Paper
Emanuel Tewolde, Xiao Zhang, David Guzman Piedrahita, Vincent Conitzer, Zhijing Jin
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AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting Long Paper
Chenghao Yang, Jibang Wu, Yi Wu, Simon Mahns, Chaoqi Wang, Hao Zhu, Fei Fang, Haifeng Xu
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach Long Paper
Chanwoo Park, Ziyang Chen, Asuman E. Ozdaglar, Kaiqing Zhang
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Test-Time Compute Games Long Paper
Ander Artola Velasco, Dimitrios Rontogiannis, Stratis Tsirtsis, Manuel Gomez Rodriguez
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Automating Forecasting Question Generation and Resolution for AI Evaluation Long Paper
Lawrence Gabriel Phillips, Nikos I. Bosse, Peter Mühlbacher, Jack Wildman, Dan Schwarz
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SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling Long Paper
Yansen Zhang, Qingcan Kang, Yujie Chen, Yufei Wang, Xiongwei Han, Tao Zhong, Mingxuan Yuan, Chen Ma
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Toward a Dynamic Stackelberg Game-Theoretic Framework for Agentic AI Defense Against LLM Jailbreaking Long Paper
Zhengye Han, Quanyan Zhu
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Large Language Model (LLM) as an Excellent Reinforcement Learning Researcher in both Single-Agent and Multi-Agent Scenarios Long Paper
Tianhao Fu, Xinxin Xu, Weichen Xu, Ruilong Ren, Bowen Deng, Jue Chen, Xinyu Zhao, Jian Cao, Xixin Cao
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Agentic Large Language Models for Decentralized Multi-agent Games Long Paper
Dom Huh, Prasant Mohapatra
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Agents for Experiment, Experiments for Agents: A Topological Framework for Automated Mechanism Discovery Long Paper
Yingjie Zhang, Weizhang Zhu, Chun Feng, Tianshu Sun
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C2: Cenerative learning module enhanced decision transformer with Constraint-aware loss for auto-bidding Long Paper
Jinren Ding, Xuejian Xu, Shen Jiang, Zhitong Hao, Jinhui Yang, Peng Jiang
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Explicit Budget Optimization: Activating Traffic under Budget Constraints in Cold-Start Ad Bidding Long Paper
Hongchang Wu, Size Wang, Weitong Ou, Zixin Shao, Feihong Liu, Yang Liu, Hongyan Xue, Nianhua Xie
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Continuous RTS-PnO: Constraint-Aware Training for Robust Rolling-Horizon Budget Allocation Long Paper
Rassul Magauin, Fuyuan Lyu, Lu Han, Xue Liu
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SEGB: SELF-EVOLVED GENERATIVE BIDDING WITH LOCAL AUTOREGRESSIVE DIFFUSION Long Paper
Yulong Gao, Wan Jiang, Mingzhe Cao, Xuepu Wang, Zeyu Pan, Haonan Yang, Ye Liu, Xin Yang
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Persona Vectors in Games: Measuring and Steering Strategies via Activation Vectors Long Paper
Johnathan Sun, Andrew Zhang
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A Robust Multi-Item Auction Design with Statistical Learning Long Paper
Jiale Han, Xiaowu Dai
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Towards Predictive Models of Strategic Behaviour in Large Language Model Agents Long Paper
Jennifer Za, Aristeidis Panos, Jan Cuhel, Samuel Albanie
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On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting Long Paper
Ratip Emin Berker, Emanuel Tewolde, Vincent Conitzer, Mingyu Guo, Marijn Heule, Lirong Xia
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How LLMs Reshape Equilibrium: A Study of Human-AI Competition in Auctions Long Paper
Yuehu Zhao, Ruoran Chen, Yuxuan Zhang, Simin Huang
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Equilibrium Structure of High-Resolution Differential Equations for Min–Max Optimization Short Paper
Federico Praolini, Tatjana Chavdarova
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Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies Long Paper
Arun Verma, Indrajit Saha, Makoto Yokoo, Bryan Kian Hsiang Low
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Personalization Aids Pluralistic Alignment Under Competition Long Paper
Natalie Collina, Surbhi Goel, Aaron Roth, Mirah Shi
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Decision Making under Imperfect Recall: Algorithms and Benchmarks Long Paper
Emanuel Tewolde, Brian Hu Zhang, Ioannis Anagnostides, Tuomas Sandholm, Vincent Conitzer
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Leaderboard Incentives: Model Rankings under Strategic Post-Training Long Paper
Yatong Chen, Guanhua Zhang, Moritz Hardt
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The Clumsy Liar: Evaluating Incentive-Driven Deception in LLM Agents Long Paper
Jerick Shi, Terry Jingchen Zhang, Vincent Conitzer, Zhijing Jin
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Fine-tuning Large Language Model for Automated Algorithm Design Long Paper
Fei Liu, Rui Zhang, Xi Lin, Zhichao Lu, Qingfu Zhang
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Iterative Scarcity-Guided Exploration: Bootstrapping Generative Auto-bidding from Narrow Support Long Paper
Qingmao Yao, Guangzheng Hu, Yusen Huo, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng
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CASCADE: Cascaded Scoped Communication for Multi-Agent Re-planning in Disrupted Industrial Environments Long Paper
Mingjie Bi
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Calibrating Behavioral Parameters with Large Language Models Long Paper
Brandon Yee, Krishna Sharma
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DIRECTING THE UNSCRIPTED: ALT-MIRAGE FOR EMERGENT SOCIAL DECEPTION DRAMA Long Paper
Liu Yan, Baoyang Chen, Zhao Yang, Huamin Qu, Zhai Lidong
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COBRA: Contextual Bandit Algorithm for Ensuring Truthful Strategic Agents Long Paper
Arun Verma, Indrajit Saha, Makoto Yokoo, Bryan Kian Hsiang Low
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Optimal Aggregation Mechanisms for AI Benchmarking and Platinum Benchmarks Short Paper
Andreas Haupt, Anka Reuel, Mykel Kochenderfer, Sanmi Koyejo
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LLM-Auction: Generative Auction towards LLM-Native Advertising Long Paper
Chujie Zhao, Qun Hu, Shiping Song, Dagui Chen, Han Zhu, Jian Xu, Bo Zheng
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GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory Long Paper
Pepijn Cobben, X. Angelo Huang, Thao Amelia Pham, Isabel Dahlgren, Terry Jingchen Zhang, Zhijing Jin
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Steering LLMs for Multi-agent Decision-making using Representation Learning Short Paper
Dom Huh, Prasant Mohapatra
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Adaptive Bandit Algorithms for Contextual Matching Markets Long Paper
Shiyun Lin, Simon Mauras, Vianney Perchet, Nadav Merlis
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Code Driven Game Theoretic Evolution of LLM Agents as Holistic Strategy Generators Short Paper
Siwei Li, Xin Wang
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Learning Revenue-Maximizing Auctions with Neural Affine Maximizer Long Paper
Yunxuan Ma
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DecisionLLM: Large Language Models for Long Sequence Decision Exploration Long Paper
Xiaowei Lv, Zhilin Zhang, Yijun Li, Yusen Huo, Siyuan Ju, Xuyan Li, Hong Chunxiang, Tianyu Wang, Yongcai Wang, Peng Sun, Chuan Yu, Jian Xu, Bo Zheng
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Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All Long Paper
Ermis Soumalias, Jakob Heiss, Jakob Weissteiner, Sven Seuken
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AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing Long Paper
Chennan Ma, Yanning Zhang, Siqi Hong, Xiuchong Wang, Fei Xiao, Keping Yang, Bo Zheng
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Computing Equilibria in Games with Stochastic Action Sets Long Paper
Thomas Schwarz, Ryann Sim, Chun Kai Ling
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Robust Trust Long Paper
Piotr Dworczak, Alex Smolin
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SOK: A Taxonomy of Attack Vectors and Defense Strategies for Agentic Supply Chain Runtime Long Paper
Shiqi Yang, Wenting Yang, Xiaochong Jiang, Cheng Ji, Yichen Liu
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MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems Long Paper
Wan Jiang, Xinyi Zang, Yudong Zhao, Yusi Zou, Yunfei Lu, Junbo Tong, Yang Liu, Ming Li, Jiani Shi, Xin Yang
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Allocate Marginal Reviews to Borderline Papers Using LLM Comparative Ranking Long Paper
Elliot L Epstein, Rajat Vadiraj Dwaraknath, John Winnicki, Thanawat Sornwanee
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GoT: Robust Information Seeking with LLMs using Game Theory Long Paper
Langyuan Cui, Chun Kai Ling, Hwee Tou Ng
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Avoiding the Tragedy of the Commons in AI Regulation via Dynamic Licensing Short Paper
Rajeev Verma, Anurag Singh, Christian A. Naesseth, Eric Nalisnick, Krikamol Muandet
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Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents Short Paper
Yingtao Tian
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Performative Personalization Incentivizes Truthfulness in Federated Learning Short Paper
Kumar Kshitij Patel, Aniket Murhekar
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Make an Offer They Can't Refuse: Grounding Bayesian Persuasion in Real-World Dialogues without Pre-Commitment Long Paper
Buwei He, Yang Liu, Zhaowei Zhang, Zixia Jia, Huijia Wu, Zhaofeng He, Zilong Zheng, Yipeng Kang
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Very Credible Auction Short Paper
Thanawat Sornwanee
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Text as the Richest Preference Signal Long Paper
André F Cruz, Jon Kleinberg, Rediet Abebe
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Agentic Federated Learning: The Future of Distributed Training Orchestration Long Paper
Rafael O. Jarczewski, Gabriel Ukstin Talasso, Leandro Aparecido Villas, Allan M. De Souza
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Learning Against a Strategic Agent in Principal-Agent Games Short Paper
Raj Kiriti Velicheti, Subhonmesh Bose, Tamer Basar
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Credibility Governance: A Social Mechanism for Collective Self-Correction under Weak Truth Signals Long Paper
Wanying He, Lin Yanxi, Zhou Ziheng, Xue Feng, Min Peng, Qianqian Xie, Zilong Zheng, Yipeng Kang
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Optimal Treatment Assignment from Observational Data: A Decision-focused Learning Approach via Pseudo Labels Long Paper
Jiaqi Yang, Zicheng Su, Zhichao Zou, Zhen Peng, Wanjing Ma, Kun An
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Pacing with ROI: Budget Allocation in Sponsored Search Long Paper
Mohamed A. Abd-Elmagid, Djordje Gligorijevic, Arnob Ghosh, Andrew Perrault, Xinxin Shu, Ness Shroff, Abraham Bagherjeiran
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Who to Ask and What to Ask: Adaptive Multi-Turn Group Elicitation with LLMs Long Paper
Ruomeng Ding, Tianwei Gao, Thomas P Zollo, Eitan Bachmat, Richard Zemel, Zhun Deng
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LLM-as-a-Prophet: Understanding AI's Predictive Intelligence with Prophet Arena Long Paper
Qingchuan Yang, Simon Mahns, Sida Li, Anri Gu, Jibang Wu, Haifeng Xu
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GraphScholar: Compositional Strategic Decision Making for Knowledge Graph Reasoning via Relation-Dependency Graphs Long Paper
Zhonglin Jiang, Hange Zhou, Enjun Du, Xuefeng, Sihaochen, Yingjie Cui, Jingcheng Sha, Yong Chen, Yongqi Zhang
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Do LLMs Act Like Rational Agents? Measuring Belief Coherence in Probabilistic Decision Making Long Paper
Khurram Yamin, Jingjing Tang, Santiago Cortes-Gomez, Amit Sharma, Eric Horvitz, Bryan Wilder
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Learning to Staff: Offline Reinforcement Learning and Fine-Tuned LLMs for Warehouse Staffing Optimization Long Paper
Kalle Kujanpää, Yuying Zhu, Kristina Lisa Klinkner, Shervin Malmasi
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Selling Data as a Digital Good with Scaling Valuations Long Paper
Xiaotie Deng, Yanru Guan, Ningyuan Li, Zihe Wang, Wu Xin, Jie Zhang
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Optimal Control Meets Online Mechanism: Adaptive Policy Learning with Strategic Agent Response Long Paper
Juan P. Madrigal Cianci
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What-If Analysis of Large Language Models: Explore the Game World Using Proactive Thinking Long Paper
Yuan Sui, Yanming Zhang, Yi Liao, Yu Gu, Guohua Tang, Zhongqian Sun, Yang Wei, Bryan Hooi
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Influence-Salient Coordination Shaping for Scalable Cooperative MARL Long Paper
Wei Sheng, Rohan Paleja
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Visualizing Coalition Formation: From Hedonic Games to Image Segmentation Short Paper
Pedro Henrique De Paula Franca, Lucas Lopes Felipe, Daniel Sadoc Menasche
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Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity Long Paper
Yingxuan Yang, Chengrui Qu, Muning Wen, Laixi Shi, Ying Wen, Weinan Zhang, Adam Wierman, Shangding Gu
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Belief Estimation as Probabilistic Constraints for Performing Strategic Dialogue Acts Long Paper
Hengli Li, Zhaoxin Yu, Qi Shen, Chenxi Li, Mengmeng Wang, Tinglang Wu, Yipeng Kang, Yuxuan Wang, Song-Chun Zhu, Zixia Jia, Zilong Zheng
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Optimally Curating an Event Long Paper
Mohammadtaghi Hajiaghayi, Sebastien Lahaie, Mohammad Mahdavi, Suho Shin
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Miscalibrated Belief Updates in LLM Agents under Strategic Uncertainty Short Paper
Harry Ilanyan, Krish Jain
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A Comparative Study of Deep Reinforcement Learning Algorithms for Dynamic Option Hedging Long Paper
Andrei Neagu, Frédéric Godin, Leila Kosseim
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Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers Long Paper
Yuhan Cao, Yu Wang, Sitong Liu, Miao Li, Yixin Tao, Tianxing He
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Strategic Hypothesis Testing Long Paper
Yatong Chen, Safwan Hossain, Yiling Chen
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AgenticPay: A Multi-Agent LLM Negotiation System for Buyer–Seller Transactions Long Paper
Xianyang Liu, Shangding Gu, Dawn Song
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CAFE-RL: Counterfactual Augmented Reinforcement Learning for Mechanism-Aware Onboarding Fraud Detection in E-Commerce Long Paper
Linfeng Cao, Hang Yin, Yang Zhao, Xinze Guan, Qiang Wang, Ming Ouyang
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Agent Exchange: An Auction Platform for AI Agent Marketplaces Long Paper
Yingxuan Yang, Ying Wen, Jun Wang, Weinan Zhang
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Advancing Regulation in Artificial Intelligence: An Auction-Based Approach Long Paper
Marco Bornstein, Zora Che, Suhas Julapalli, Abdirisak Mohamed, Amrit Singh Bedi, Furong Huang
