BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Teng, Yu, Wing-Yin, He, Zhenqi, Liu, Zehua, Gong, Hailei, Wu, Han, Han, Xiongwei, Shi, Wei, She, Ruifeng, Zhu, Fangzhou, Zhong, Tao
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts
by: Wang, Teng, et al.
Published: (2024)

LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
by: Liu, Zehua, et al.
Published: (2025)

MoLAE: Mixture of Latent Experts for Parameter-Efficient Language Models
by: Liu, Zehua, et al.
Published: (2025)

Decision Information Meets Large Language Models: The Future of Explainable Operations Research
by: Zhang, Yansen, et al.
Published: (2025)

Leveraging Large Language Models for Solving Rare MIP Challenges
by: Wang, Teng, et al.
Published: (2024)

Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach
by: She, Ruifeng, et al.
Published: (2025)

Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models
by: Wang, Teng, et al.
Published: (2025)

REG: A Regularization Optimizer for Robust Training Dynamics
by: Liu, Zehua, et al.
Published: (2025)

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
by: Wu, Han, et al.
Published: (2025)

OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
by: Liu, Haoyang, et al.
Published: (2025)

State Machine of Thoughts: Leveraging Past Reasoning Trajectories for Enhancing Problem Solving
by: Liu, Jia, et al.
Published: (2023)

Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
by: Xu, Xin, et al.
Published: (2025)

RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts
by: Zhang, Yu, et al.
Published: (2025)

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning?
by: Zhou, Ruochen, et al.
Published: (2025)

Multimodal Mathematical Reasoning with Diverse Solving Perspective
by: Shi, Wenhao, et al.
Published: (2025)

Enhancing Mathematical Problem Solving in LLMs through Execution-Driven Reasoning Augmentation
by: Basarkar, Aditya, et al.
Published: (2026)

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
by: Gou, Zhibin, et al.
Published: (2023)

Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
by: Gao, Songyang, et al.
Published: (2025)

LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration Framework
by: He, Zhenqi, et al.
Published: (2024)

Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMs
by: Qi, Shihao, et al.
Published: (2025)

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting
by: Wang, Teng, et al.
Published: (2025)

1bit-Merging: Dynamic Quantized Merging for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)

GeoThought: A Dataset for Enhancing Mathematical Geometry Reasoning in Vision-Language Models
by: Shi, Nannan, et al.
Published: (2025)

Bridging Formal Language with Chain-of-Thought Reasoning to Geometry Problem Solving
by: Yang, Tianyun, et al.
Published: (2025)

CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs
by: Wang, Kangsheng, et al.
Published: (2024)

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
by: Li, Yixuan, et al.
Published: (2024)

Hyperbolic Category Discovery
by: Liu, Yuanpei, et al.
Published: (2025)

SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery
by: He, Zhenqi, et al.
Published: (2025)

Category Discovery: An Open-World Perspective
by: He, Zhenqi, et al.
Published: (2025)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
by: Lee, Jung Hyun, et al.
Published: (2024)

Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models
by: Ling, Guoming, et al.
Published: (2026)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)

Problem Solving in Mathematics Education
by: Liljedahl, Peter, et al.
Published: (2018)

Problem Solving in Mathematics Education
by: Peter Liljedahl

CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving
by: Chen, Shuhang, et al.
Published: (2026)

RoboBPP: Benchmarking Robotic Online Bin Packing with Physics-based Simulation
by: Wang, Zhoufeng, et al.
Published: (2025)

Automated Optimization Modeling via a Localizable Error-Driven Perspective
by: Liu, Weiting, et al.
Published: (2026)

Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification
by: Liu, Haoyang, et al.
Published: (2026)

SpatialMath: Spatial Comprehension-Infused Symbolic Reasoning for Mathematical Problem-Solving
by: Bajpai, Ashutosh, et al.
Published: (2026)

Tool-Augmented Hybrid Ensemble Reasoning with Distillation for Bilingual Mathematical Problem Solving
by: Lu, Peiqing, et al.
Published: (2025)