Papers Mathematical Problem-Solving
“Mathematical Problem-Solving” 태그가 달린 논문 106편 · 필터 해제
Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks
Recent advancements in Large Language Models (LLMs) have demonstrated exceptional capabilities in natural language understanding and generation. While these models excel in general complex reasoning tasks, they still fac…
Logical ReasoningMathematical Problem-SolvingMathematical ReasoningNatural Language UnderstandingNon-myopic Generation of Language Models for Reasoning and Planning
Large Language Models have demonstrated remarkable abilities in reasoning and planning by breaking down complex problems into sequential steps. Despite their success in various domains like mathematical problem-solving a…
Computational EfficiencyLanguage ModellingMathMathematical Problem-Solving+1FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning
Hallucinations in large language models (LLMs) pose significant challenges in tasks requiring complex multi-step reasoning, such as mathematical problem-solving. Existing approaches primarily detect the presence of hallu…
GSM8KHallucinationLanguage ModelingLanguage Modelling+3Can LLMs plan paths with extra hints from solvers?
Large Language Models (LLMs) have shown remarkable capabilities in natural language processing, mathematical problem solving, and tasks related to program synthesis. However, their effectiveness in long-term planning and…
Mathematical Problem-SolvingProgram SynthesisLLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
This paper presents an advanced mathematical problem-solving framework, LLaMA-Berry, for enhancing the mathematical reasoning ability of Large Language Models (LLMs). The framework combines Monte Carlo Tree Search (MCTS)…
Efficient ExplorationMathematical Problem-SolvingMathematical ReasoningPersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation
While closed-source Large Language Models (LLMs) demonstrate strong mathematical problem-solving abilities, open-source models continue to struggle with such tasks. To bridge this gap, we propose a data augmentation appr…
Data AugmentationDiversityGSM8KMath+1BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search
Large Language Models (LLMs) have exhibited exceptional performance across a broad range of tasks and domains. However, they still encounter difficulties in solving mathematical problems due to the rigorous and logical n…
MathMathematical Problem-SolvingPrompt EngineeringBuilding Math Agents with Multi-Turn Iterative Preference Learning
Recent studies have shown that large language models' (LLMs) mathematical problem-solving capabilities can be enhanced by integrating external tools, such as code interpreters, and employing multi-turn Chain-of-Thought (…
GSM8KMathMathematical Problem-SolvingMathematical Reasoning+1Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word Problems
This study focuses on improving the performance of lightweight Large Language Models (LLMs) in mathematical reasoning tasks. We introduce a novel method for measuring mathematical logic similarity and design an automatic…
GSM8KLanguage ModelingLanguage ModellingLarge Language Model+3Benchmarking Large Language Models for Math Reasoning Tasks
The use of Large Language Models (LLMs) in mathematical reasoning has become a cornerstone of related research, demonstrating the intelligence of these models and enabling potential practical applications through their a…
BenchmarkingIn-Context LearningMathMathematical Problem-Solving+1MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
The mathematical capabilities of Multi-modal Large Language Models (MLLMs) remain under-explored with three areas to be improved: visual encoding of math diagrams, diagram-language alignment, and chain-of-thought (CoT) r…
Contrastive LearningLanguage ModellingLarge Language ModelMath+2MathCAMPS: Fine-grained Synthesis of Mathematical Problems From Human Curricula
Mathematical problem solving is an important skill for Large Language Models (LLMs), both as an important capability and a proxy for a range of reasoning abilities. Existing benchmarks probe a diverse set of skills, but …
Mathematical Problem-SolvingMathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data
Large language models (LLMs) have significantly advanced natural language understanding and demonstrated strong problem-solving abilities. Despite these successes, most LLMs still struggle with solving mathematical probl…
BenchmarkingMathMathematical Problem-SolvingMathematical Reasoning+1Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
Large language models (LLMs) have demonstrated impressive reasoning capabilities, particularly in textual mathematical problem-solving. However, existing open-source image instruction fine-tuning datasets, containing lim…
DiversityMathMathematical Problem-SolvingMathematical ReasoningGW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory
Mixture-of-Experts (MoE) has been demonstrated as an efficient method to scale up models. By dynamically and sparsely selecting activated experts, MoE can effectively reduce computational costs. Despite the success, we o…
Code GenerationMathematical Problem-SolvingMixture-of-ExpertsQuestion Answering+2DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
Solving mathematical problems requires advanced reasoning abilities and presents notable challenges for large language models. Previous works usually synthesize data from proprietary models to augment existing datasets, …
Arithmetic ReasoningMathMathematical Problem-SolvingMath Word Problem Solving+1Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
Large Language Models (LLMs) have been applied to Math Word Problems (MWPs) with transformative impacts, revolutionizing how these complex problems are approached and solved in various domains including educational setti…
BenchmarkingMathMathematical Problem-SolvingMathematical Reasoning+23D-Properties: Identifying Challenges in DPO and Charting a Path Forward
Aligning large language models (LLMs) with human preference has recently gained tremendous attention, with the canonical yet costly RLHF-PPO and the simple and straightforward Direct Preference Optimization (DPO) as two …
Instruction FollowingMathematical Problem-SolvingOccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
Despite significant advancements in text generation and reasoning, Large Language Models (LLMs) still face challenges in accurately performing complex arithmetic operations. Language model systems often enable LLMs to ge…
Language ModelingLanguage ModellingMathematical Problem-SolvingText GenerationMathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions
Large language models (LLMs) have demonstrated impressive capabilities in mathematical problem solving, particularly in single turn question answering formats. However, real world scenarios often involve mathematical que…
BenchmarkingDialogue UnderstandingInstruction FollowingMath+4