Cover Image

Cognitive Load-Aware Inference: A Neuro-Symbolic Framework for Optimizing the Token Economy of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Zhang, Yilun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
by: Dickens, Charles, et al.
Published: (2024)

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
by: Marconato, Emanuele, et al.
Published: (2024)

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
by: Yang, Xiao-Wen, et al.
Published: (2025)

NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
by: Liang, Feng, et al.
Published: (2025)

Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge
by: Labre, Marcelo
Published: (2026)

Neuro-Symbolic Rule Lists
by: Xu, Sascha, et al.
Published: (2024)

The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning
by: Cunnington, Daniel, et al.
Published: (2024)

Logically Consistent Language Models via Neuro-Symbolic Integration
by: Calanzone, Diego, et al.
Published: (2024)

Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
by: Zhang, Xin, et al.
Published: (2024)

Bridging the Gap: Representation Spaces in Neuro-Symbolic AI
by: Zhang, Xin, et al.
Published: (2024)

A Learnability Analysis on Neuro-Symbolic Learning
by: He, Hao-Yuan, et al.
Published: (2025)

A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
by: Cotnareanu, Joseph, et al.
Published: (2026)

Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees
by: Liu, Xiaoyang, et al.
Published: (2026)

Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
by: Marconato, Emanuele, et al.
Published: (2025)

A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
by: Cucumides, Tamara, et al.
Published: (2023)

Softened Symbol Grounding for Neuro-symbolic Systems
by: Li, Zenan, et al.
Published: (2024)

ICON: Invariant Counterfactual Optimization with Neuro-Symbolic Priors for Text-Based Person Search
by: Wang, Xiangyu, et al.
Published: (2026)

On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models
by: Zhao, Chongyang, et al.
Published: (2026)

Explainable Diagnosis Prediction through Neuro-Symbolic Integration
by: Lu, Qiuhao, et al.
Published: (2024)

Simple and Effective Transfer Learning for Neuro-Symbolic Integration
by: Daniele, Alessandro, et al.
Published: (2024)

Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
by: Bortolotti, Samuele, et al.
Published: (2025)

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
by: Christopher, Jacob K., et al.
Published: (2025)

Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models
by: Bortolotti, Samuele, et al.
Published: (2026)

Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
by: Scassola, Davide, et al.
Published: (2023)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
by: Keller, Leon, et al.
Published: (2025)

A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
by: Bortolotti, Samuele, et al.
Published: (2024)

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
by: Huang, Jerry, et al.
Published: (2024)

Reinforcement Learning with Promising Tokens for Large Language Models
by: Pang, Jing-Cheng, et al.
Published: (2026)

HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction
by: Jiang, Haoyu, et al.
Published: (2025)

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning
by: Shindo, Hikaru, et al.
Published: (2026)

Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
by: Hu, Wen-Chao, et al.
Published: (2024)

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
by: Tao, Lue, et al.
Published: (2023)

Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery
by: Cornelio, Cristina, et al.
Published: (2024)

Neuro-Symbolic Decoding of Neural Activity
by: Wang, Yanchen, et al.
Published: (2026)

DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
by: Thareja, Rushil, et al.
Published: (2025)

Infeasibility Aware Large Language Models for Combinatorial Optimization
by: Wang, Yakun, et al.
Published: (2026)

Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning
by: Wu, Yuxuan, et al.
Published: (2025)

Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
by: Singireddy, Suraj, et al.
Published: (2023)

The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns
by: Lorello, Luca Salvatore, et al.
Published: (2024)

Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation
by: Shao, Jie-Jing, et al.
Published: (2024)