Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Hang, Yang, Kaiqi, Chu, Yucheng, Liu, Hui, Tang, Jiliang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
by: Chu, Yucheng, et al.
Published: (2024)
by: Chu, Yucheng, et al.
Published: (2024)
Confusion-Aware Rubric Optimization for LLM-based Automated Grading
by: Chu, Yucheng, et al.
Published: (2026)
by: Chu, Yucheng, et al.
Published: (2026)
Optimizing In-Context Demonstrations for LLM-based Automated Grading
by: Chu, Yucheng, et al.
Published: (2026)
by: Chu, Yucheng, et al.
Published: (2026)
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)
by: Yang, Kaiqi, et al.
Published: (2024)
by: Yang, Kaiqi, et al.
Published: (2024)
The Effect of Sampling Temperature on Problem Solving in Large Language Models
by: Renze, Matthew, et al.
Published: (2024)
by: Renze, Matthew, et al.
Published: (2024)
From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG
by: Chu, Yucheng, et al.
Published: (2026)
by: Chu, Yucheng, et al.
Published: (2026)
Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
by: Peng, Tai-Quan, et al.
Published: (2024)
by: Peng, Tai-Quan, et al.
Published: (2024)
Large Language Models for Education: A Survey and Outlook
by: Wang, Shen, et al.
Published: (2024)
by: Wang, Shen, et al.
Published: (2024)
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
by: Li, Jiatong, et al.
Published: (2023)
by: Li, Jiatong, et al.
Published: (2023)
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
by: Yang, Zhen, et al.
Published: (2024)
by: Yang, Zhen, et al.
Published: (2024)
LLM-based Automated Grading with Human-in-the-Loop
by: Chu, Yucheng, et al.
Published: (2025)
by: Chu, Yucheng, et al.
Published: (2025)
Reinforcement Learning Problem Solving with Large Language Models
by: Gholamian, Sina, et al.
Published: (2024)
by: Gholamian, Sina, et al.
Published: (2024)
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
by: Lee, Jung Hyun, et al.
Published: (2024)
by: Lee, Jung Hyun, et al.
Published: (2024)
Transitivity Meets Cyclicity: Explicit Preference Decomposition for Dynamic Large Language Model Alignment
by: Huang, Yucong, et al.
Published: (2026)
by: Huang, Yucong, et al.
Published: (2026)
Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever
by: Li, Hang, et al.
Published: (2024)
by: Li, Hang, et al.
Published: (2024)
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks
by: Anand, Avinash, et al.
Published: (2024)
by: Anand, Avinash, et al.
Published: (2024)
Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning
by: Kim, Jonathan, et al.
Published: (2025)
by: Kim, Jonathan, et al.
Published: (2025)
Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo
by: Masoud, Mahmoud, et al.
Published: (2024)
by: Masoud, Mahmoud, et al.
Published: (2024)
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
by: Zhou, Yue, et al.
Published: (2024)
by: Zhou, Yue, et al.
Published: (2024)
LLM-ProS: Analyzing Large Language Models' Performance in Competitive Problem Solving
by: Hossain, Md Sifat, et al.
Published: (2025)
by: Hossain, Md Sifat, et al.
Published: (2025)
The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models
by: Renze, Matthew, et al.
Published: (2024)
by: Renze, Matthew, et al.
Published: (2024)
Perspective Transition of Large Language Models for Solving Subjective Tasks
by: Wang, Xiaolong, et al.
Published: (2025)
by: Wang, Xiaolong, et al.
Published: (2025)
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
by: Chen, Sijia, et al.
Published: (2024)
by: Chen, Sijia, et al.
Published: (2024)
Label-free Node Classification on Graphs with Large Language Models (LLMS)
by: Chen, Zhikai, et al.
Published: (2023)
by: Chen, Zhikai, et al.
Published: (2023)
An Open Source Data Contamination Report for Large Language Models
by: Li, Yucheng, et al.
Published: (2023)
by: Li, Yucheng, et al.
Published: (2023)
Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems
by: Yang, Kaiqi, et al.
Published: (2025)
by: Yang, Kaiqi, et al.
Published: (2025)
Divergent Creativity in Humans and Large Language Models
by: Bellemare-Pepin, Antoine, et al.
Published: (2024)
by: Bellemare-Pepin, Antoine, et al.
Published: (2024)
TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving
by: Colle, Vincenzo, et al.
Published: (2025)
by: Colle, Vincenzo, et al.
Published: (2025)
Exploring Memorization in Fine-tuned Language Models
by: Zeng, Shenglai, et al.
Published: (2023)
by: Zeng, Shenglai, et al.
Published: (2023)
Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path
by: Dai, Xinnan, et al.
Published: (2024)
by: Dai, Xinnan, et al.
Published: (2024)
Can Language Models Solve Graph Problems in Natural Language?
by: Wang, Heng, et al.
Published: (2023)
by: Wang, Heng, et al.
Published: (2023)
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
by: Besta, Maciej, et al.
Published: (2023)
by: Besta, Maciej, et al.
Published: (2023)
Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models
by: Han, Simeng, et al.
Published: (2025)
by: Han, Simeng, et al.
Published: (2025)
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
by: Wu, Taiqiang, et al.
Published: (2024)
by: Wu, Taiqiang, et al.
Published: (2024)
Solving General Natural-Language-Description Optimization Problems with Large Language Models
by: Zhang, Jihai, et al.
Published: (2024)
by: Zhang, Jihai, et al.
Published: (2024)
GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
by: Tang, Jianheng, et al.
Published: (2024)
by: Tang, Jianheng, et al.
Published: (2024)
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2026)
by: Xu, Qiancheng, et al.
Published: (2026)
Evaluating Large Language Models for Generalization and Robustness via Data Compression
by: Li, Yucheng, et al.
Published: (2024)
by: Li, Yucheng, et al.
Published: (2024)
Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models
by: Vaidya, Nishtha N., et al.
Published: (2024)
by: Vaidya, Nishtha N., et al.
Published: (2024)
Similar Items
-
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
by: Chu, Yucheng, et al.
Published: (2024) -
Confusion-Aware Rubric Optimization for LLM-based Automated Grading
by: Chu, Yucheng, et al.
Published: (2026) -
Optimizing In-Context Demonstrations for LLM-based Automated Grading
by: Chu, Yucheng, et al.
Published: (2026) -
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)
by: Yang, Kaiqi, et al.
Published: (2024) -
The Effect of Sampling Temperature on Problem Solving in Large Language Models
by: Renze, Matthew, et al.
Published: (2024)