Cover Image

The Efficiency Attenuation Phenomenon: A Computational Challenge to the Language of Thought Hypothesis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Zhang, Di
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language Machine Learning 68T05 I.2.6; I.2.11; I.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)

RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement
by: Lin, Junjie, et al.
Published: (2024)

MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
by: Zamaraeva, Elena, et al.
Published: (2025)

Dynamical Priors as a Training Objective in Reinforcement Learning
by: Subaharan, Sukesh
Published: (2026)

Dynamic Dual-Granularity Skill Bank for Agentic RL
by: Tu, Songjun, et al.
Published: (2026)

WorkflowGen:an adaptive workflow generation mechanism driven by trajectory experience
by: Wei, Ruocan, et al.
Published: (2026)

Your Data, My Model: Learning Who Really Helps in Federated Learning
by: Abdurakhmanova, Shamsiiat, et al.
Published: (2024)

DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas
by: Wang, Zhen, et al.
Published: (2025)

Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO
by: Singh, Diyansha
Published: (2026)

Manipulating Transformer-Based Models: Controllability, Steerability, and Robust Interventions
by: Alpay, Faruk, et al.
Published: (2025)

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

Adaptive Minds: Empowering Agents with LoRA-as-Tools
by: Shekar, Pavan C, et al.
Published: (2025)

Decentralized Time Series Classification with ROCKET Features
by: Casella, Bruno, et al.
Published: (2025)

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

Super-additive Cooperation in Language Model Agents
by: Tonini, Filippo, et al.
Published: (2025)

Client-Conditional Federated Learning via Local Training Data Statistics
by: Brännvall, Rickard
Published: (2026)

Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning
by: Sharma, Alakh, et al.
Published: (2025)

NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
by: Jia, Xiao
Published: (2026)

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

On measuring grounding and generalizing grounding problems
by: Quigley, Daniel, et al.
Published: (2025)

FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
by: Zhang, Mingda, et al.
Published: (2026)

The Six Sigma Agent: Achieving Enterprise-Grade Reliability in LLM Systems Through Consensus-Driven Decomposed Execution
by: Patel, Khush, et al.
Published: (2026)

Structural Plasticity as Active Inference: A Biologically-Inspired Architecture for Homeostatic Control
by: Hill, Brennen A.
Published: (2025)

Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation
by: Shafique, Muhammad Ali, et al.
Published: (2025)

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
by: Weigang, Li, et al.
Published: (2025)

How to Correctly do Semantic Backpropagation on Language-based Agentic Systems
by: Wang, Wenyi, et al.
Published: (2024)

When Actions Disappear: Adversarial Action Removal in Self-Play Reinforcement Learning
by: Kujur, Arahan
Published: (2026)

Extending NGU to Multi-Agent RL: A Preliminary Study
by: Hernandez, Juan, et al.
Published: (2025)

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
by: Jing, Yuheng, et al.
Published: (2026)

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
by: Pepe, Alberto, et al.
Published: (2026)

Federated Learning and Class Imbalances
by: Zhu, Siqi, et al.
Published: (2026)

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems
by: Lan, Guangchen
Published: (2026)

RPRA: Predicting an LLM-Judge for Efficient but Performant Inference
by: Ashley, Dylan R., et al.
Published: (2026)

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
by: Lomasto, Luigi, et al.
Published: (2026)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)

Mean-Field Reinforcement Learning without Synchrony
by: Yang, Shan
Published: (2026)

SPARK: Igniting Communication-Efficient Decentralized Learning via Stage-wise Projected NTK and Accelerated Regularization
by: Xia, Li
Published: (2025)

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

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