When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, Dongxin, Wu, Jikun, Yiu, Siu-Ming |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)
by: Tang, Wenjie, et al.
Published: (2026)
When to Forget: A Memory Governance Primitive
by: Simsek, Baris
Published: (2026)
by: Simsek, Baris
Published: (2026)
StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
by: Annapureddy, Sasank, et al.
Published: (2026)
by: Annapureddy, Sasank, et al.
Published: (2026)
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
by: Chen, Wen-Tse, et al.
Published: (2024)
by: Chen, Wen-Tse, et al.
Published: (2024)
Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation
by: Wu, Jikun, et al.
Published: (2026)
by: Wu, Jikun, et al.
Published: (2026)
Coalition Formation in LLM Agent Networks: Stability Analysis and Convergence Guarantees
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
by: Wang, Yuchen, et al.
Published: (2026)
by: Wang, Yuchen, et al.
Published: (2026)
When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
RouteNLP: Closed-Loop LLM Routing with Conformal Cascading and Distillation Co-Optimization
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)
by: Costa, Rimom
Published: (2025)
Learning To Help: Training Models to Assist Legacy Devices
by: Wu, Yu, et al.
Published: (2024)
by: Wu, Yu, et al.
Published: (2024)
Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
by: Lauffer, Niklas, et al.
Published: (2025)
by: Lauffer, Niklas, et al.
Published: (2025)
Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning
by: Castellini, Jacopo, et al.
Published: (2019)
by: Castellini, Jacopo, et al.
Published: (2019)
ChromaFlow: A Negative Ablation Study of Orchestration Overhead in Tool-Augmented Agent Evaluation
by: Mittal, Tarun
Published: (2026)
by: Mittal, Tarun
Published: (2026)
Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement
by: Shukla, Aaditya, et al.
Published: (2025)
by: Shukla, Aaditya, et al.
Published: (2025)
Audience Amplified: Virtual Audiences in Asynchronously Performed AR Theater
by: Kim, You-Jin, et al.
Published: (2025)
by: Kim, You-Jin, et al.
Published: (2025)
When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines
by: Maryanskyy, Artem
Published: (2026)
by: Maryanskyy, Artem
Published: (2026)
When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026)
by: Kujur, Arahan
Published: (2026)
FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
by: Schipper, Olivier, et al.
Published: (2025)
by: Schipper, Olivier, et al.
Published: (2025)
Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
by: Pasupuleti, Vinil, et al.
Published: (2026)
by: Pasupuleti, Vinil, et al.
Published: (2026)
Latent Cache Flow: Model-to-Model Communication Without Text
by: Rossi, Maximillian, et al.
Published: (2026)
by: Rossi, Maximillian, et al.
Published: (2026)
One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
by: Hong, Yoosung
Published: (2026)
by: Hong, Yoosung
Published: (2026)
Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)
by: Jiang, Rongjie, et al.
Published: (2026)
Model Collapse as Cultural Evolution
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
A Framework for Assessing AI Agent Decisions and Outcomes in AutoML Pipelines
by: Du, Gaoyuan, et al.
Published: (2026)
by: Du, Gaoyuan, et al.
Published: (2026)
SIA: Self Improving AI with Harness & Weight Updates
by: Hebbar, Prannay, et al.
Published: (2026)
by: Hebbar, Prannay, et al.
Published: (2026)
Look Further: Socially-Compliant Navigation System in Residential Buildings
by: Shiba, Akira, et al.
Published: (2026)
by: Shiba, Akira, et al.
Published: (2026)
PRECEPT: Planning Resilience via Experience, Context Engineering & Probing Trajectories A Unified Framework for Test-Time Adaptation with Compositional Rule Learning and Pareto-Guided Prompt Evolution
by: Shahmansoori, Arash
Published: (2026)
by: Shahmansoori, Arash
Published: (2026)
Federated Learning and Class Imbalances
by: Zhu, Siqi, et al.
Published: (2026)
by: Zhu, Siqi, et al.
Published: (2026)
Differentiable Model Predictive Safety for Heterogeneous Mobility at Urban Intersections
by: Song, Wenzhe, et al.
Published: (2026)
by: Song, Wenzhe, et al.
Published: (2026)
Networked Agents in the Dark: Team Value Learning under Partial Observability
by: Varela, Guilherme S., et al.
Published: (2025)
by: Varela, Guilherme S., et al.
Published: (2025)
Knowledge Equivalence in Digital Twins of Intelligent Systems
by: Zhang, Nan, et al.
Published: (2022)
by: Zhang, Nan, et al.
Published: (2022)
N-Agent Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2024)
by: Wang, Caroline, et al.
Published: (2024)
FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning
by: Zhang, Su, et al.
Published: (2026)
by: Zhang, Su, et al.
Published: (2026)
SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
Your Data, My Model: Learning Who Really Helps in Federated Learning
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)
Dynamic Dual-Granularity Skill Bank for Agentic RL
by: Tu, Songjun, et al.
Published: (2026)
by: Tu, Songjun, et al.
Published: (2026)
Similar Items
-
Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026) -
When to Forget: A Memory Governance Primitive
by: Simsek, Baris
Published: (2026) -
StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
by: Annapureddy, Sasank, et al.
Published: (2026) -
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
by: Chen, Wen-Tse, et al.
Published: (2024) -
Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation
by: Wu, Jikun, et al.
Published: (2026)