LLM Decision-Making

LLM: Large Language Model

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28 papers in the last four weeks, up 460% on the four weeks before. 0.3% of all new papers.

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Latest papers 126

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PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
May 27, 2026Yuxuan Zhao, Sijia Chen, Ningxin SuLLM Evaluation Quantitative Finance
1Yantai Research Institute of Harbin Engineering University · 2The Hong Kong University of Science and Technology (Guangzhou)
Knowing but Not Showing: LLMs Recognize Ambiguity but Rarely Ask Clarifying Questions
May 24, 2026Jinyan Su, Claire CardieLLM Evaluation Clarification Question Generation
1Cornell University
Not Yet: Humans Outperform LLMs in a Colonel Blotto Tournament
May 21, 2026Dmitry Dagaev, Egor Ivanov, Petr Parshakov +2Game-Playing Agents Game Theory
HSE University · New Economic School · Central Economic Mathematical Institute, Russian Academy of Sciences +3
Mechanical Enforcement for LLM Governance:Evidence of Governance-Task Decoupling in Financial Decision Systems
May 14, 2026José Manuel de la Chica Rodríguez, Carlos Martí-GonzálezLLM Auditing LLM Safety
1Santander AI Lab, Grupo Santander
Learning Transferable Latent User Preferences for Human-Aligned Decision Making
May 12, 2026Alina Hyk, Sandhya SaisubramanianLLM Alignment LLM Decision-Making
Oregon State University
Temporal Preference Concepts and their Functions in a Large Language Model
May 11, 2026Ian Rios-Sialer, Shantanu Darveshi, Shuai Jiang +4LLM Interpretability Temporal Reasoning in Language Models
AISC San Francisco, USA · AISC Munich, Germany · SPAR, AISC Berlin, Germany
OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents
May 11, 2026Sheldon Yu, Junda Wu, Xintong Li +6LLM Decision-Making
UC San Diego · University of Illinois at Urbana-Champaign · Adobe Research
Statistical Scouting Finds Debate-Safe but Not Debate-Useful Cases: A Matched-Ceiling Study of Open-Weight LLM Reasoning Protocols
May 10, 2026Julia Hu, Alfred Shen, Kumar LakshmipathiLLM Evaluation Multi-Agent Debate
Amazon Web Services
Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain
May 9, 2026Xiaoyu Hu, Jinman ZhaoLLM Evaluation Social Bias in Language Models
Rutgers University · Department of Computer Science, University of Toronto
Can Revealed Preferences Clarify LLM Alignment and Steering?
May 8, 2026Khurram Yamin, Jingjing Tang, Eric Horvitz +1Language Model Steering LLM Decision-Making
1Carnegie Mellon University · 2Microsoft Research
DRIP-R: A Benchmark for Decision-Making and Reasoning Under Real-World Policy Ambiguity in the Retail Domain
May 8, 2026Hsuvas Borkakoty, Sebastian Pohl, Cheng Wang +2LLM Agent Evaluation AI Agent Benchmarks
Interdisciplinary Transformation University, Austria · Amazon, Berlin, Germany
A Regime Theory of Controller Class Selection for LLM Action Decisions
May 7, 2026Zhaoyang Jiang, Zhizhong Fu, Yunsoo Kim +4Selective Prediction Language Model-Based Control
University of Glasgow · UESTC, Chengdu, China · University College London
Multi-agent decision making: A Blackwell's informativeness approach
May 7, 2026Zheng Zhang, Cuong C. Nguyen, Kevin Wells +1Multi-Agent Debate Question Answering
Centre for Vision, Speech and Signal Processing, University of Surrey
12 Angry AI Agents: Evaluating Multi-Agent LLM Decision-Making Through Cinematic Jury Deliberation
May 3, 2026Ahmet Bahaddin ErsozLLM Alignment LLM Agent Evaluation
∗ORCID: 0000-0001-6297-7501
LLMs Should Not Yet Be Credited with Decision Explanation
May 1, 2026Wenshuo WangCognitive Modeling LLM Decision-Making
School of Future Technology, South China University of Technology, China
A Knowledge-Driven LLM-Based Decision-Support System for Explainable Defect Analysis and Mitigation Guidance in Laser Powder Bed Fusion
May 1, 2026Basit Mahmud Shahriar, Md Habibor RahmanIndustrial Inspection LLM Decision-Making
Department of Mechanical Engineering, University of Massachusetts Dartmouth, Dartmouth, MA 02747, USA
Why Do LLMs Struggle in Strategic Play? Broken Links Between Observations, Beliefs, and Actions
Apr 30, 2026Jan Sobotka, Mustafa O. Karabag, Ufuk TopcuImperfect-Information Games LLM Interpretability
EPFL · The University of Texas at Austin
Persuadability and LLMs as Legal Decision Tools
Apr 29, 2026Oisin Suttle, David LillisLLM Auditing LLM Decision-Making
School of Law and Criminology Maynooth University Maynooth, Ireland · School of Computer Science University College Dublin Dublin, Ireland
MultiHedge: Adaptive Coordination via Retrieval-Augmented Control
Apr 27, 2026Feliks Bańka, Jarosław A. ChudziakRetrieval-Augmented Generation LLM Decision-Making
The Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland
One Size Fits None: Heuristic Collapse in LLM Investment Advice
Apr 26, 2026Jillian Ross, Andrew W. LoFinancial Services LLM Auditing
Computer Science and Artificial Intelligence Laboratory · Massachusetts Institute of Technology · Cambridge, MA, USA +1
Machine Behavior in Relational Moral Dilemmas: Moral Rightness, Predicted Human Behavior, and Model Decisions
Apr 23, 2026Jiseon Kim, Jea Kwon, Luiz Felipe Vecchietti +3Moral Reasoning in Language Models Human Behavior Simulation
1KAIST · 2MPI-SP
Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure
Apr 22, 2026Nattavudh PowdthaveeFinancial Fraud Detection LLM Decision-Making
Nanyang Technological University
Navigating the Conceptual Multiverse
Apr 20, 2026Andre Ye, Jenny Y. Huang, Alicia Guo +3LLM Decision-Making Human-AI Decision Making
MIT EECS · UW Allen School of CSE · UW Department of Philosophy
Don't Start What You Can't Finish: A Counterfactual Audit of Support-State Triage in LLM Agents
Apr 17, 2026Eren UnluLLM Agent Evaluation LLM Refusal Behavior
Globeholder Paris, France
RetailBench: Evaluating Long-Horizon Autonomous Decision-Making and Strategy Stability of LLM Agents in Realistic Retail Environments
Mar 17, 2026Linghua Zhang, Jun Wang, Jingtong Wu +1Long-Horizon Agent Evaluation AI Agent Benchmarks
Ant Group · City University of Hong Kong
Evaluating Alignment of Behavioral Dispositions in LLMs
Feb 11, 2026Amir Taubenfeld, Zorik Gekhman, Lior Nezry +8Human Preference Evaluation LLM Alignment
Google Research · Hebrew University · University of Cambridge
Framing Instability in LLM Ethical Stance: Auditing Negation Sensitivity in Moral Dilemmas
Jan 29, 2026Katherine Elkins, Jon ChunMoral Reasoning in Language Models LLM Auditing
Kenyon College Gambier, OH
Real-Time Deadlines Reveal Fragile Temporal Adaptation in LLM Strategic Dialogues
Jan 19, 2026Neil K. R. Sehgal, Sharath Chandra Guntuku, Lyle UngarLLM Agent Evaluation LLM Decision-Making
University of Pennsylvania
Predicting Biased Human Decision-Making with Large Language Models in Conversational Settings
Jan 16, 2026Stephen Pilli, Vivek NallurLLM Decision-Making Human-AI Decision Making
University College Dublin · Dublin, Ireland
Make an Offer They Can't Refuse: Grounding Bayesian Persuasion in Real-World Dialogues without Pre-Commitment
Oct 15, 2025Buwei He, Yang Liu, Zhaowei Zhang +6Game Theory LLM Decision-Making
Beijing University of Posts and Telecommunications · Beijing Institute for General Artificial Intelligence · Peking University +1

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PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management

Yuxuan Zhao, Sijia Chen, Ningxin Su

1Yantai Research Institute of Harbin Engineering University · 2The Hong Kong University of Science and Technology (Guangzhou)

LLM Evaluation Quantitative Finance LLM Decision-Making Portfolio Optimization Finance

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Large language models (LLMs) have shown strong performance across diverse financial tasks, yet portfolio management (PM) remains poorly benchmarked. Existing benchmarks exhibit two gaps: they are often equity-only and ignore cross-asset correlations; they fail to evaluate the complete PM decision pipeline. We introduce PortBench, a benchmark spanning six heterogeneous asset classes from 2015 to 2025. PortBench comprises a static QA dataset of 6,269 questions across seven task templates and a dynamic five-stage allocation pipeline. To evaluate these layers, we introduce two metrics: a dual-layer correlation score for inter-class hedging and intra-class concentration, and CEPS, which quantifies how reasoning errors compound across pipeline stages. We further evaluate under three stress windows and three risk profiles, and support real-time evaluation to mitigate pretraining contamination on historical markets. Across ten frontier LLMs, strong financial QA performance fails to translate into superior portfolio performance: only 32.5% of 120 evaluations beat equal weighting on Sharpe across four market periods. Our source code is available at this https URL.

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Latest papers 126