Guardado en:
| Autores principales: | Yang, Xiaocong, Lin, Jiacheng, Wang, Ziqi, Zhai, Chengxiang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2411.16454 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Can LLMs Solve longer Math Word Problems Better?
por: Xu, Xin, et al.
Publicado: (2024)
por: Xu, Xin, et al.
Publicado: (2024)
Self-consistent Reasoning For Solving Math Word Problems
por: Xiong, Jing, et al.
Publicado: (2022)
por: Xiong, Jing, et al.
Publicado: (2022)
Solving Math Word Problems via Cooperative Reasoning induced Language Models
por: Zhu, Xinyu, et al.
Publicado: (2022)
por: Zhu, Xinyu, et al.
Publicado: (2022)
We Need Knowledge Distillation for Solving Math Word Problems
por: Shen, Zhenquan, et al.
Publicado: (2025)
por: Shen, Zhenquan, et al.
Publicado: (2025)
Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving
por: Yigit, Gulsum, et al.
Publicado: (2024)
por: Yigit, Gulsum, et al.
Publicado: (2024)
A Diversity-Enhanced Knowledge Distillation Model for Practical Math Word Problem Solving
por: Zhang, Yi, et al.
Publicado: (2025)
por: Zhang, Yi, et al.
Publicado: (2025)
Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction
por: Gedeon, Máté
Publicado: (2025)
por: Gedeon, Máté
Publicado: (2025)
Adversarial Math Word Problem Generation
por: Xie, Roy, et al.
Publicado: (2024)
por: Xie, Roy, et al.
Publicado: (2024)
Expression Syntax Information Bottleneck for Math Word Problems
por: Xiong, Jing, et al.
Publicado: (2023)
por: Xiong, Jing, et al.
Publicado: (2023)
Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems
por: Yang, Kaiqi, et al.
Publicado: (2025)
por: Yang, Kaiqi, et al.
Publicado: (2025)
Leveraging Information Retrieval to Enhance Spoken Language Understanding Prompts in Few-Shot Learning
por: Lepagnol, Pierre, et al.
Publicado: (2025)
por: Lepagnol, Pierre, et al.
Publicado: (2025)
Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning
por: Paul, Bidyarthi, et al.
Publicado: (2025)
por: Paul, Bidyarthi, et al.
Publicado: (2025)
Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models
por: Era, Jalisha Jashim, et al.
Publicado: (2025)
por: Era, Jalisha Jashim, et al.
Publicado: (2025)
What Makes Math Word Problems Challenging for LLMs?
por: Srivatsa, KV Aditya, et al.
Publicado: (2024)
por: Srivatsa, KV Aditya, et al.
Publicado: (2024)
PLHF: Prompt Optimization with Few-Shot Human Feedback
por: Yang, Chun-Pai, et al.
Publicado: (2025)
por: Yang, Chun-Pai, et al.
Publicado: (2025)
When Not to Answer: Evaluating Prompts on GPT Models for Effective Abstention in Unanswerable Math Word Problems
por: Saadat, Asir, et al.
Publicado: (2024)
por: Saadat, Asir, et al.
Publicado: (2024)
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation
por: Kang, Xiaoqiang, et al.
Publicado: (2024)
por: Kang, Xiaoqiang, et al.
Publicado: (2024)
Structured Reasoning with Tree-of-Thoughts for Bengali Math Word Problems
por: Mahmood, Aurprita, et al.
Publicado: (2025)
por: Mahmood, Aurprita, et al.
Publicado: (2025)
GeoMathCode: Understanding Interleaved Math-Code Reasoning for Geometry Problem Solving
por: Zhang, Yingji, et al.
Publicado: (2026)
por: Zhang, Yingji, et al.
Publicado: (2026)
REAMS: Reasoning Enhanced Algorithm for Maths Solving
por: Singh, Eishkaran, et al.
Publicado: (2025)
por: Singh, Eishkaran, et al.
Publicado: (2025)
MathEDU: Feedback Generation on Problem-Solving Processes for Mathematical Learning Support
por: Hsu, Wei-Ling, et al.
Publicado: (2025)
por: Hsu, Wei-Ling, et al.
Publicado: (2025)
From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision
por: Lin, Qingwen, et al.
Publicado: (2024)
por: Lin, Qingwen, et al.
Publicado: (2024)
MATHWELL: Generating Educational Math Word Problems Using Teacher Annotations
por: Christ, Bryan R, et al.
Publicado: (2024)
por: Christ, Bryan R, et al.
Publicado: (2024)
Cutting Through the Noise: Boosting LLM Performance on Math Word Problems
por: Anantheswaran, Ujjwala, et al.
Publicado: (2024)
por: Anantheswaran, Ujjwala, et al.
Publicado: (2024)
Elementary Math Word Problem Generation using Large Language Models
por: Ariyarathne, Nimesh, et al.
Publicado: (2025)
por: Ariyarathne, Nimesh, et al.
Publicado: (2025)
EDUMATH: Generating Standards-aligned Educational Math Word Problems
por: Christ, Bryan R., et al.
Publicado: (2025)
por: Christ, Bryan R., et al.
Publicado: (2025)
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
por: Duan, Yifei, et al.
Publicado: (2024)
por: Duan, Yifei, et al.
Publicado: (2024)
Few-Shot Adversarial Prompt Learning on Vision-Language Models
por: Zhou, Yiwei, et al.
Publicado: (2024)
por: Zhou, Yiwei, et al.
Publicado: (2024)
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
por: Xu, Yifan, et al.
Publicado: (2024)
por: Xu, Yifan, et al.
Publicado: (2024)
Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Prompting
por: Wu, Jianfei, et al.
Publicado: (2024)
por: Wu, Jianfei, et al.
Publicado: (2024)
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning
por: Elbakian, Karl, et al.
Publicado: (2025)
por: Elbakian, Karl, et al.
Publicado: (2025)
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem
por: Sun, Yuhong, et al.
Publicado: (2024)
por: Sun, Yuhong, et al.
Publicado: (2024)
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
por: Tong, Yuxuan, et al.
Publicado: (2024)
por: Tong, Yuxuan, et al.
Publicado: (2024)
Which Words Matter Most in Zero-Shot Prompts?
por: Sadr, Nikta Gohari, et al.
Publicado: (2025)
por: Sadr, Nikta Gohari, et al.
Publicado: (2025)
Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition
por: Pouramini, Ahmad, et al.
Publicado: (2024)
por: Pouramini, Ahmad, et al.
Publicado: (2024)
Augmenting Math Word Problems via Iterative Question Composing
por: Liu, Haoxiong, et al.
Publicado: (2024)
por: Liu, Haoxiong, et al.
Publicado: (2024)
GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Contexts
por: Yuan, Fan, et al.
Publicado: (2025)
por: Yuan, Fan, et al.
Publicado: (2025)
Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
por: Ren, Zhe
Publicado: (2025)
por: Ren, Zhe
Publicado: (2025)
MathLearner: A Large Language Model Agent Framework for Learning to Solve Mathematical Problems
por: Xie, Wenbei, et al.
Publicado: (2024)
por: Xie, Wenbei, et al.
Publicado: (2024)
KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
por: Wijesiriwardene, Thilini, et al.
Publicado: (2024)
por: Wijesiriwardene, Thilini, et al.
Publicado: (2024)
Ejemplares similares
-
Can LLMs Solve longer Math Word Problems Better?
por: Xu, Xin, et al.
Publicado: (2024) -
Self-consistent Reasoning For Solving Math Word Problems
por: Xiong, Jing, et al.
Publicado: (2022) -
Solving Math Word Problems via Cooperative Reasoning induced Language Models
por: Zhu, Xinyu, et al.
Publicado: (2022) -
We Need Knowledge Distillation for Solving Math Word Problems
por: Shen, Zhenquan, et al.
Publicado: (2025) -
Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving
por: Yigit, Gulsum, et al.
Publicado: (2024)