Cover Image

Super-additive Cooperation in Language Model Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tonini, Filippo, Galke, Lukas
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence I.2.11; I.2.0; J.4; K.4.0; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Making High-Level AI Design Decisions Explicit Using a Binary Stream System-Designation Approach
by: Mossbridge, Julia
Published: (2024)

Futurity as Infrastructure: A Techno-Philosophical Interpretation of the AI Lifecycle
by: Cote, Mark, et al.
Published: (2025)

Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
by: Howard, Rhys, et al.
Published: (2025)

Reasoning Beyond the Obvious: Evaluating Divergent and Convergent Thinking in LLMs for Financial Scenarios
by: Bok, Zhuang Qiang, et al.
Published: (2025)

Efficiently Quantifying Individual Agent Importance in Cooperative MARL
by: Mahjoub, Omayma, et al.
Published: (2023)

Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)

Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
by: Huang, Xuanxiang, et al.
Published: (2025)

Cooperation in Human and Machine Agents: Promise Theory Considerations
by: Burgess, M.
Published: (2026)

How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
by: Singh, Siddarth, et al.
Published: (2023)

Prompt Readiness Levels (PRL): a maturity scale and scoring framework for production grade prompt assets
by: Guinard, Sebastien
Published: (2026)

Adaptive Latent-Space Constraints in Personalized Federated Learning
by: Ayromlou, Sana, et al.
Published: (2025)

The Efficiency Attenuation Phenomenon: A Computational Challenge to the Language of Thought Hypothesis
by: Zhang, Di
Published: (2026)

When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Competitor State
by: Zhu, Peiying, et al.
Published: (2026)

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
by: Nolte, Robin, et al.
Published: (2025)

Right-to-Act: A Pre-Execution Non-Compensatory Decision Protocol for AI Systems
by: Lavi, Gadi
Published: (2026)

HybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification
by: Anoosha, Mostafa, et al.
Published: (2025)

AI Agentic workflows and Enterprise APIs: Adapting API architectures for the age of AI agents
by: Tupe, Vaibhav, et al.
Published: (2025)

Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
by: Pasupuleti, Vinil, et al.
Published: (2026)

What Does 'Human-Centred AI' Mean?
by: Guest, Olivia
Published: (2025)

The Continuity Layer: Why Intelligence Needs an Architecture for What It Carries Forward
by: Tanguturi, Samuel Sameer
Published: (2026)

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
by: Khandelwal, Vedant, et al.
Published: (2024)

T-Norm Operators for EU AI Act Compliance Classification: An Empirical Comparison of Lukasiewicz, Product, and Gödel Semantics in a Neuro-Symbolic Reasoning System
by: Laabs, Adam
Published: (2026)

From Safety Risk to Design Principle: Peer-Preservation in Multi-Agent LLM Systems and Its Implications for Orchestrated Democratic Discourse Analysis
by: Dietrich, Juergen
Published: (2026)

From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias
by: Liu, Yizhi, et al.
Published: (2025)

Improving Fairness with Ensemble Combination: Margin-Dependent Bounds
by: Bian, Yijun
Published: (2023)

Personality-Driven Decision-Making in LLM-Based Autonomous Agents
by: Newsham, Lewis, et al.
Published: (2025)

CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging
by: Gupta, Sunny, et al.
Published: (2024)

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
by: Kashyap, Pankhi, et al.
Published: (2024)

SafetyDrift: Predicting When AI Agents Cross the Line Before They Actually Do
by: Dhodapkar, Aditya, et al.
Published: (2026)

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)

Better Schedules for Low Precision Training of Deep Neural Networks
by: Wolfe, Cameron R., et al.
Published: (2024)

Knowledge Equivalence in Digital Twins of Intelligent Systems
by: Zhang, Nan, et al.
Published: (2022)

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
by: Nishiyama, Daiki, et al.
Published: (2025)

Cyber Humanism in Education: Reclaiming Agency through AI and Learning Sciences
by: Adorni, Giovanni
Published: (2025)

Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
by: Lauffer, Niklas, et al.
Published: (2025)

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
by: Longo, Luca, et al.
Published: (2023)

ChromaFlow: A Negative Ablation Study of Orchestration Overhead in Tool-Augmented Agent Evaluation
by: Mittal, Tarun
Published: (2026)

The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
by: Pal, Biplab, et al.
Published: (2026)

Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective
by: Loghmani, Erfan
Published: (2025)

On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach
by: Bai, Jiahui, et al.
Published: (2026)