Cover Image

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Shiyue, Xu, Pei, Yang, Likun, Cui, Lei, Chen, Xiaotang, Huang, Kaiqi
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Repeated Deceptive Path Planning against Learnable Observer
by: Cao, Shiyue, et al.
Published: (2026)

Strategy-Augmented Planning for Large Language Models via Opponent Exploitation
by: Xu, Shuai, et al.
Published: (2025)

WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models
by: Yin, Qiyue, et al.
Published: (2025)

DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games
by: Zhou, Qibin, et al.
Published: (2022)

Opponent Shaping in LLM Agents
by: Segura, Marta Emili Garcia, et al.
Published: (2025)

VS-LLM: Visual-Semantic Depression Assessment based on LLM for Drawing Projection Test
by: Wu, Meiqi, et al.
Published: (2025)

Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
by: Huang, Yizhe, et al.
Published: (2024)

CausalMMM: Learning Causal Structure for Marketing Mix Modeling
by: Gong, Chang, et al.
Published: (2024)

No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding
by: Fu, Yanchang, et al.
Published: (2025)

Decision-making with Speculative Opponent Models
by: Sun, Jing, et al.
Published: (2022)

Minibal: Balanced Game-Playing Without Opponent Modeling
by: Cohen-Solal, Quentin, et al.
Published: (2026)

Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization
by: Bu, Yunhan, et al.
Published: (2026)

Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
by: Mai, Yuxiang, et al.
Published: (2025)

Differentiable Belief-based Opponent Shaping
by: Sane, Aarav G, et al.
Published: (2026)

Project Ariadne: A Structural Causal Framework for Auditing Faithfulness in LLM Agents
by: Khanzadeh, Sourena
Published: (2026)

Teleological Inference in Structural Causal Models via Intentional Interventions
by: Compagno, Dario, et al.
Published: (2026)

StratFormer: Adaptive Opponent Modeling and Exploitation in Imperfect-Information Games
by: Caen, Andy, et al.
Published: (2026)

Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences
by: Cai, Ruichu, et al.
Published: (2025)

Towards Empowerment Gain through Causal Structure Learning in Model-Based RL
by: Cao, Hongye, et al.
Published: (2025)

Individual Causal Inference with Structural Causal Model
by: Chang, Daniel T.
Published: (2025)

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models
by: Li, Yuanhao, et al.
Published: (2026)

Structured Personalization: Modeling Constraints as Matroids for Data-Minimal LLM Agents
by: Platnick, Daniel, et al.
Published: (2025)

ChargingBoul: A Competitive Negotiating Agent with Novel Opponent Modeling
by: Shymanski, Joe
Published: (2025)

Structured Personality Control and Adaptation for LLM Agents
by: Wang, Jinpeng, et al.
Published: (2026)

Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
by: Cao, Zhihao, et al.
Published: (2024)

DART: Semantic Recoverability for Structured Tool Agents
by: Yang, Ke, et al.
Published: (2026)

Diagnosing Causal Reasoning in Vision-Language Models via Structured Relevance Graphs
by: Pratama, Dhita Putri, et al.
Published: (2026)

Distribution-consistency Structural Causal Models
by: Gong, Heyang, et al.
Published: (2024)

Causal computations in Semi Markovian Structural Causal Models using divide and conquer
by: Bjøru, Anna Rodum, et al.
Published: (2025)

AgentGate: A Lightweight Structured Routing Engine for the Internet of Agents
by: Cheng, Yujun, et al.
Published: (2026)

Learning Causal Abstractions of Linear Structural Causal Models
by: Massidda, Riccardo, et al.
Published: (2024)

Synthesis by Design: Controlled Data Generation via Structural Guidance
by: Xu, Lei, et al.
Published: (2025)

Scaling Opponent Shaping to High Dimensional Games
by: Khan, Akbir, et al.
Published: (2023)

Investigating and Extending Homans' Social Exchange Theory with Large Language Model based Agents
by: Wang, Lei, et al.
Published: (2025)

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability
by: Han, Yujin, et al.
Published: (2024)

Partially Observed Structural Causal Models
by: Orujlu, Turan, et al.
Published: (2026)

Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
by: Dang, Hy, et al.
Published: (2025)

BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents
by: Li, Haoxuan, et al.
Published: (2025)

Map Optical Properties to Subwavelength Structures Directly via a Diffusion Model
by: Rao, Shijie, et al.
Published: (2024)

On the Complexity of Identification in Linear Structural Causal Models
by: Dörfler, Julian, et al.
Published: (2024)