$Copertina$

FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Yilun, Liu, Hongjun, Long, Yitao, Zhang, Rui, Zhao, Chen, Cohan, Arman
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents
di: Zhao, Yilun, et al.
Pubblicazione: (2023)

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing
di: Liu, Hongjun, et al.
Pubblicazione: (2025)

FinTrust: A Comprehensive Benchmark of Trustworthiness Evaluation in Finance Domain
di: Hu, Tiansheng, et al.
Pubblicazione: (2025)

LimRank: Less is More for Reasoning-Intensive Information Reranking
di: Song, Tingyu, et al.
Pubblicazione: (2025)

FinLFQA: Evaluating Attributed Text Generation of LLMs in Financial Long-Form Question Answering
di: Long, Yitao, et al.
Pubblicazione: (2025)

PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles
di: Long, Yitao, et al.
Pubblicazione: (2025)

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
di: Zhao, Yilun, et al.
Pubblicazione: (2026)

Table-R1: Inference-Time Scaling for Table Reasoning
di: Yang, Zheyuan, et al.
Pubblicazione: (2025)

FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents
di: Zhao, Yilun, et al.
Pubblicazione: (2024)

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
di: Hu, Yunhai, et al.
Pubblicazione: (2025)

Patient-Similarity Cohort Reasoning in Clinical Text-to-SQL
di: Shen, Yifei, et al.
Pubblicazione: (2026)

SAGE: Benchmarking and Improving Retrieval for Deep Research Agents
di: Hu, Tiansheng, et al.
Pubblicazione: (2026)

AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data Generation
di: Liu, Xianyang, et al.
Pubblicazione: (2025)

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers
di: Zhao, Yilun, et al.
Pubblicazione: (2025)

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
di: Ying, Huaiyuan, et al.
Pubblicazione: (2024)

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

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation
di: Yu, Zhaojian, et al.
Pubblicazione: (2024)

SciMDR: Advancing Scientific Multimodal Document Reasoning
di: Chen, Ziyu, et al.
Pubblicazione: (2026)

GeoMathCode: Understanding Interleaved Math-Code Reasoning for Geometry Problem Solving
di: Zhang, Yingji, et al.
Pubblicazione: (2026)

CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models
di: Liu, Wentao, et al.
Pubblicazione: (2024)

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective
di: Zhang, Siyue, et al.
Pubblicazione: (2025)

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

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers
di: Xu, Zhijian, et al.
Pubblicazione: (2025)

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification
di: Wang, Chengye, et al.
Pubblicazione: (2025)

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
di: Guan, Xinyu, et al.
Pubblicazione: (2025)

Z1: Efficient Test-time Scaling with Code
di: Yu, Zhaojian, et al.
Pubblicazione: (2025)

CoinMath: Harnessing the Power of Coding Instruction for Math LLMs
di: Wei, Chengwei, et al.
Pubblicazione: (2024)

Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance
di: Qian, Lingfei, et al.
Pubblicazione: (2025)

PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts
di: Wang, Yiming, et al.
Pubblicazione: (2025)

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

Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
di: Li, Alan, et al.
Pubblicazione: (2025)

Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models
di: Sun, Haoxiang, et al.
Pubblicazione: (2025)

TabularMath: Understanding Math Reasoning over Tables with Large Language Models
di: Tian, Shi-Yu, et al.
Pubblicazione: (2025)

Investigating Data Contamination in Modern Benchmarks for Large Language Models
di: Deng, Chunyuan, et al.
Pubblicazione: (2023)

SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature
di: Ding, Hang, et al.
Pubblicazione: (2025)

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
di: Li, Chengpeng, et al.
Pubblicazione: (2023)

Align to the Pivot: Dual Alignment with Self-Feedback for Multilingual Math Reasoning
di: Zhao, Chunxu, et al.
Pubblicazione: (2026)

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
di: Xu, Yifan, et al.
Pubblicazione: (2024)

MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
di: Gan, Ziliang, et al.
Pubblicazione: (2024)

mAceReason-Math: A Dataset of High-Quality Multilingual Math Problems Ready For RLVR
di: Dobler, Konstantin, et al.
Pubblicazione: (2026)