$Buchumschlag$

PARAMANU-GANITA: Can Small Math Language Models Rival with Large Language Models on Mathematical Reasoning?

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Niyogi, Mitodru, Bhattacharya, Arnab
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language Artificial Intelligence Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Ayn: A Tiny yet Competitive Indian Legal Language Model Pretrained from Scratch
von: Niyogi, Mitodru, et al.
Veröffentlicht: (2024)

Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian Languages
von: Niyogi, Mitodru, et al.
Veröffentlicht: (2024)

Neural Models for Source Code Synthesis and Completion
von: Niyogi, Mitodru
Veröffentlicht: (2024)

Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On
von: Zeng, Liang, et al.
Veröffentlicht: (2024)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
von: Luo, Haipeng, et al.
Veröffentlicht: (2023)

AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
von: Luo, Haipeng, et al.
Veröffentlicht: (2025)

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
von: Shao, Zhihong, et al.
Veröffentlicht: (2024)

Small Encoders Can Rival Large Decoders in Detecting Groundedness
von: Abbes, Istabrak, et al.
Veröffentlicht: (2025)

Can Large Language Models Reason and Plan?
von: Kambhampati, Subbarao
Veröffentlicht: (2024)

Self-Evolved Preference Optimization for Enhancing Mathematical Reasoning in Small Language Models
von: Singh, Joykirat, et al.
Veröffentlicht: (2025)

Reasoning, Code, or Both? How Large Language Models Handle Variations in Math Questions
von: Kutakh, Matthew
Veröffentlicht: (2026)

Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
von: Zhao, Zilong, et al.
Veröffentlicht: (2024)

Forward-Backward Reasoning in Large Language Models for Mathematical Verification
von: Jiang, Weisen, et al.
Veröffentlicht: (2023)

BhashaSetu: Cross-Lingual Knowledge Transfer from High-Resource to Extreme Low-Resource Languages
von: Maji, Subhadip, et al.
Veröffentlicht: (2026)

Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
von: Li, Ming, et al.
Veröffentlicht: (2025)

Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
von: Chen, Changyu, et al.
Veröffentlicht: (2024)

Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
von: Albalak, Alon, et al.
Veröffentlicht: (2025)

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models
von: Nigam, Shubham Kumar, et al.
Veröffentlicht: (2024)

Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?
von: Kao, Kuei-Chun, et al.
Veröffentlicht: (2024)

MathScale: Scaling Instruction Tuning for Mathematical Reasoning
von: Tang, Zhengyang, et al.
Veröffentlicht: (2024)

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
von: Li, Xiaoyuan, et al.
Veröffentlicht: (2024)

PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
von: Zhao, Xueliang, et al.
Veröffentlicht: (2025)

Learning Mathematical Rules with Large Language Models
von: Gorceix, Antoine, et al.
Veröffentlicht: (2024)

Towards Reasoning Ability of Small Language Models
von: Srivastava, Gaurav, et al.
Veröffentlicht: (2025)

AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
von: Moshkov, Ivan, et al.
Veröffentlicht: (2025)

All Language Models Large and Small
von: Chen, Zhixun, et al.
Veröffentlicht: (2024)

DISPO: Enhancing Training Efficiency and Stability in Reinforcement Learning for Large Language Model Mathematical Reasoning
von: Karaman, Batuhan K., et al.
Veröffentlicht: (2026)

CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models
von: Chen, Zhuofan, et al.
Veröffentlicht: (2025)

Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process
von: Ye, Tian, et al.
Veröffentlicht: (2024)

Can Small-Scale Data Poisoning Exacerbate Dialect-Linked Biases in Large Language Models?
von: Abbas, Chaymaa, et al.
Veröffentlicht: (2025)

Can A Gamer Train A Mathematical Reasoning Model?
von: Shin, Andrew
Veröffentlicht: (2025)

Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
von: Sinha, Neelabh, et al.
Veröffentlicht: (2024)

Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
von: Liu, Chengwu, et al.
Veröffentlicht: (2025)

Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges
von: Shrestha, Safal, et al.
Veröffentlicht: (2025)

Large Language Model Reasoning Failures
von: Song, Peiyang, et al.
Veröffentlicht: (2026)

AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
von: Liu, Zihan, et al.
Veröffentlicht: (2024)

Large Language and Reasoning Models are Shallow Disjunctive Reasoners
von: Khalid, Irtaza, et al.
Veröffentlicht: (2025)

MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
von: Peng, Shuai, et al.
Veröffentlicht: (2024)

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
von: Lu, Pan, et al.
Veröffentlicht: (2023)

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning
von: Li, Chengpeng, et al.
Veröffentlicht: (2024)