SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Dong, Zhao, Xujiang, Yu, Linlin, Liu, Yanchi, Cheng, Wei, Chen, Zhengzhang, Chen, Zhong, Chen, Feng, Zhao, Chen, Chen, Haifeng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MixLLM: Dynamic Routing in Mixed Large Language Models
by: Wang, Xinyuan, et al.
Published: (2025)

MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
by: Li, Dong, et al.
Published: (2026)

Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
by: Ying, Wangyang, et al.
Published: (2026)

DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router
by: Guo, Minghao, et al.
Published: (2025)

Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
by: Liu, Xuyuan, et al.
Published: (2025)

Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
by: Zhang, Binchi, et al.
Published: (2026)

Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
by: Lin, Minhua, et al.
Published: (2024)

Pruning as a Domain-specific LLM Extractor
by: Zhang, Nan, et al.
Published: (2024)

SAUP: Situation Awareness Uncertainty Propagation on LLM Agent
by: Zhao, Qiwei, et al.
Published: (2024)

Scattered Forest Search: Smarter Code Space Exploration with LLMs
by: Light, Jonathan, et al.
Published: (2024)

RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection
by: Deng, Chengyuan, et al.
Published: (2024)

Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
by: Zeng, Cong, et al.
Published: (2025)

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
by: Wang, Junxiang, et al.
Published: (2023)

TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
by: Jiang, Yushan, et al.
Published: (2025)

Online Multi-modal Root Cause Identification in Microservice Systems
by: Zheng, Lecheng, et al.
Published: (2024)

Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
by: Shen, ChengAo, et al.
Published: (2024)

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
by: Wang, Fali, et al.
Published: (2024)

Multi-modal Causal Structure Learning and Root Cause Analysis
by: Zheng, Lecheng, et al.
Published: (2024)

Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
by: Lin, Yujie, et al.
Published: (2023)

OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems
by: Li, Xiaozhe, et al.
Published: (2025)

Uncertainty Quantification for In-Context Learning of Large Language Models
by: Ling, Chen, et al.
Published: (2024)

On the Effect of Sampling Diversity in Scaling LLM Inference
by: Wang, Tianchun, et al.
Published: (2025)

Scenario-Guided LLM-based Mobile App GUI Testing
by: Yu, Shengcheng, et al.
Published: (2025)

Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model Updating
by: Zhang, Binchi, et al.
Published: (2025)

Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains
by: Lin, Yumeng, et al.
Published: (2025)

Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
by: Bai, Haoyue, et al.
Published: (2025)

Scholar Name Disambiguation with Search-enhanced LLM Across Language
by: Zhao, Renyu, et al.
Published: (2024)

Interpretable Imitation Learning with Dynamic Causal Relations
by: Zhao, Tianxiang, et al.
Published: (2023)

Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
by: He, Zhixia, et al.
Published: (2025)

Channel Ordering for Fairness in Elastic Optical Networks via a LLM-Guided Bottleneck TSP Solver
by: Wu, Liangshun, et al.
Published: (2025)

Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
by: Wang, Tianchun, et al.
Published: (2024)

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search
by: Zhang, Xinhao, et al.
Published: (2026)

PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners
by: Xiao, Yijia, et al.
Published: (2023)

Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling
by: Sun, Shengyin, et al.
Published: (2025)

Towards Automated Crowdsourced Testing via Personified-LLM
by: Yu, Shengcheng, et al.
Published: (2026)

MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization
by: Chen, Xiangsen, et al.
Published: (2026)

TimelyLLM: Segmented LLM Serving System for Time-sensitive Robotic Applications
by: Ling, Neiwen, et al.
Published: (2024)

The Power of Order: Fooling LLMs with Adversarial Table Permutations
by: Dong, Xinshuai, et al.
Published: (2026)

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
by: Zheng, Lecheng, et al.
Published: (2024)

Guided Trajectory Optimization with Sparse Scaling for Test-Time Diffusion
by: Dai, Gang, et al.
Published: (2026)