Cover Image

Adaptive Test-Time Compute Allocation via Learned Heuristics over Categorical Structure

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Qu, Shuhui
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fuzzy Categorical Planning: Autonomous Goal Satisfaction with Graded Semantic Constraints
by: Qu, Shuhui
Published: (2026)

Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations
by: Zuo, Bowen, et al.
Published: (2026)

Teaching LLMs to Ask: Self-Querying Category-Theoretic Planning for Under-Specified Reasoning
by: Qu, Shuhui
Published: (2026)

Active Epistemic Control for Query-Efficient Verified Planning
by: Qu, Shuhui
Published: (2026)

Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents
by: Paglieri, Davide, et al.
Published: (2025)

Adaptive Variational Continual Learning via Task-Heuristic Modelling
by: Yang, Fan
Published: (2024)

Change of Thought: Adaptive Test-Time Computation
by: Mathur, Mrinal, et al.
Published: (2025)

Adaptive Rectification Sampling for Test-Time Compute Scaling
by: Tan, Zhendong, et al.
Published: (2025)

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
by: Cheng, Qisen, et al.
Published: (2025)

PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency
by: Liu, Zhangyi, et al.
Published: (2026)

Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
by: Damani, Mehul, et al.
Published: (2024)

Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
by: Qu, Yuxiao, et al.
Published: (2025)

Zero-Overhead Introspection for Adaptive Test-Time Compute
by: Manvi, Rohin, et al.
Published: (2025)

Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation
by: Bhardwaj, Asmita, et al.
Published: (2026)

Deep Heuristic Learning for Real-Time Urban Pathfinding
by: El-Ela, Mohamed Hussein Abo, et al.
Published: (2024)

TMAS: Scaling Test-Time Compute via Multi-Agent Synergy
by: Wu, George, et al.
Published: (2026)

DSevolve: Enabling Real-Time Adaptive Scheduling on Dynamic Shop Floor with LLM-Evolved Heuristic Portfolios
by: Huang, Jin, et al.
Published: (2026)

CoRefine: Confidence-Guided Self-Refinement for Adaptive Test-Time Compute
by: Jin, Chen, et al.
Published: (2026)

Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering
by: Yu, Ting, et al.
Published: (2024)

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures
by: Pandey, Tushar, et al.
Published: (2025)

Active Testing of Large Language Models via Approximate Neyman Allocation
by: Liu, Zeli, et al.
Published: (2026)

FlaKat: A Machine Learning-Based Categorization Framework for Flaky Tests
by: Lin, Shizhe, et al.
Published: (2024)

LATTS: Locally Adaptive Test-Time Scaling
by: Uscidda, Theo, et al.
Published: (2025)

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs
by: Alomrani, Mohammad Ali, et al.
Published: (2025)

Heuristic Classification of Thoughts Prompting (HCoT): Integrating Expert System Heuristics for Structured Reasoning into Large Language Models
by: Lin, Lei, et al.
Published: (2026)

Efficient Safety Testing of Autonomous Vehicles via Adaptive Search over Crash-Derived Scenarios
by: Zhou, Rui
Published: (2025)

Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic
by: Phan, Thomy, et al.
Published: (2024)

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
by: Ding, Dujian, et al.
Published: (2025)

Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
by: Wang, Xinglin, et al.
Published: (2025)

ReVEL: Multi-Turn Reflective LLM-Guided Heuristic Evolution via Structured Performance Feedback
by: Van Duc, Cuong, et al.
Published: (2026)

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation
by: Petullo, James, et al.
Published: (2026)

Inverse Scaling in Test-Time Compute
by: Gema, Aryo Pradipta, et al.
Published: (2025)

Latency-Aware Resource Allocation for Mobile Edge Generation and Computing via Deep Reinforcement Learning
by: Wu, Yinyu, et al.
Published: (2024)

Test-Time Learning of Causal Structure from Interventional Data
by: Chen, Wei, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Dynamic Mobility Resource Allocation with Hierarchical Adaptive Grouping
by: Nooshi, Farshid, et al.
Published: (2025)

Bidirectional Bounded-Suboptimal Heuristic Search with Consistent Heuristics
by: Shperberg, Shahaf S., et al.
Published: (2025)

GridProbe: Posterior-Probing for Adaptive Test-Time Compute in Long-Video VLMs
by: Eltahir, Mohamed, et al.
Published: (2026)

Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning
by: Chen, Dillon Z., et al.
Published: (2024)

Complex LLM Planning via Automated Heuristics Discovery
by: Ling, Hongyi, et al.
Published: (2025)

Post-Optimization Adaptive Rank Allocation for LoRA
by: Kumaravelu, Vishnuprasadh, et al.
Published: (2026)