:: Library Catalog

$Cover Image$

Saved in:

Bibliographic Details
Main Authors:	Chuharski, Jake, Collins, Elias Rojas, Meringolo, Mark
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2412.16177
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MathArena: Evaluating LLMs on Uncontaminated Math Competitions
by: Balunović, Mislav, et al.
Published: (2025)

MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs
by: Zhang, Tianyang, et al.
Published: (2025)

MARGE: Improving Math Reasoning for LLMs with Guided Exploration
by: Gao, Jingyue, et al.
Published: (2025)

SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in Chinese
by: Xu, Liang, et al.
Published: (2024)

Data Diversification Methods In Alignment Enhance Math Performance In LLMs
by: Dokmeci, Berkan, et al.
Published: (2025)

LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
by: Pan, Zhuoshi, et al.
Published: (2025)

Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?
by: Hu, Yijie, et al.
Published: (2025)

Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange
by: Satpute, Ankit, et al.
Published: (2024)

MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
by: Akter, Syeda Nahida, et al.
Published: (2024)

DAG-Math: Graph-of-Thought Guided Mathematical Reasoning in LLMs
by: Zhang, Yuanhe, et al.
Published: (2025)

Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events?
by: Fang, Bowen, et al.
Published: (2025)

From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics
by: Lee, Jaewook, et al.
Published: (2025)

BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
by: Petrov, Ivo, et al.
Published: (2025)

CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective
by: Liu, Jiayu, et al.
Published: (2025)

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs
by: Yu, Tongzhou, et al.
Published: (2025)

$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
by: Fawkes, Jake, et al.
Published: (2026)

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
by: Khan, Zaid, et al.
Published: (2025)

An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
by: Chen, Zui, et al.
Published: (2024)

SenseMath: Do LLMs Have Number Sense? Evaluating Shortcut Use, Judgment, and Generation
by: Zhuang, Haomin, et al.
Published: (2026)

Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
by: Ao, Shuang, et al.
Published: (2025)

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever
by: Li, Hang, et al.
Published: (2024)

Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?
by: Karim, Aabid, et al.
Published: (2025)

A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining
by: Zhang, Sipeng, et al.
Published: (2025)

Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
by: Le, Qi, et al.
Published: (2025)

PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
by: Zimmer, Max, et al.
Published: (2023)

Leveraging KV Similarity for Online Structured Pruning in LLMs
by: Lee, Jungmin, et al.
Published: (2025)

Data-Free Pruning of Self-Attention Layers in LLMs
by: Saikumar, Dhananjay, et al.
Published: (2025)

Mosaic: Composite Projection Pruning for Resource-efficient LLMs
by: Eccles, Bailey J., et al.
Published: (2025)

Orca-Math: Unlocking the potential of SLMs in Grade School Math
by: Mitra, Arindam, et al.
Published: (2024)

LLMs can Compress LLMs: Adaptive Pruning by Agents
by: Kodathala, Sai Varun, et al.
Published: (2026)

Dynamic Vocabulary Pruning in Early-Exit LLMs
by: Vincenti, Jort, et al.
Published: (2024)

Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses
by: Baral, Sami, et al.
Published: (2024)

Investigating Bias: A Multilingual Pipeline for Generating, Solving, and Evaluating Math Problems with LLMs
by: Mahran, Mariam, et al.
Published: (2025)

Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining
by: Li, Jianwei, et al.
Published: (2024)

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs
by: Lu, Lei, et al.
Published: (2024)

DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs
by: Choi, Nayoung, et al.
Published: (2026)

M-Wanda: Improving One-Shot Pruning for Multilingual LLMs
by: Choenni, Rochelle, et al.
Published: (2025)

Resonance of Uncharted Realms Beyond Conventional Bounds - AGI Findings
by: Patterson, Jake
Published: (2025)

MathPile: A Billion-Token-Scale Pretraining Corpus for Math
by: Wang, Zengzhi, et al.
Published: (2023)

Characterization of Solubilizers of Elements in Minimal Simple Groups
by: Akbari, Banafsheh, et al.
Published: (2023)