:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lan, Kai, Zhu, Jiayong, Li, Jiangtong, Cheng, Dawei, Chen, Guang, Jiang, Changjun
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2506.13066
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model
by: Li, Jiangtong, et al.
Published: (2025)

CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model
by: Lei, Yang, et al.
Published: (2023)

FinDocMRE: A Benchmark for Document-Level Financial Multimodal Reasoning Evaluation
by: Zhu, Jiayong, et al.
Published: (2026)

Towards Low-Resource Harmful Meme Detection with LMM Agents
by: Huang, Jianzhao, et al.
Published: (2024)

InspireDebate: Multi-Dimensional Subjective-Objective Evaluation-Guided Reasoning and Optimization for Debating
by: Wang, Fuyu, et al.
Published: (2025)

LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
by: Peng, Yingzhe, et al.
Published: (2025)

FinReasoning: A Hierarchical Benchmark for Reliable Financial Research Reporting
by: Zhu, Yiyun, et al.
Published: (2026)

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation
by: Yang, Cheng, et al.
Published: (2024)

AviationLMM: A Large Multimodal Foundation Model for Civil Aviation
by: Li, Wenbin, et al.
Published: (2026)

LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM
by: Zhang, Zicheng, et al.
Published: (2024)

CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
by: Ghaboura, Sara, et al.
Published: (2024)

Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models
by: Zhu, Jie, et al.
Published: (2025)

ExtremeAIGC: Benchmarking LMM Vulnerability to AI-Generated Extremist Content
by: Chandna, Bhavik, et al.
Published: (2025)

Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
by: Liu, Zhaowei, et al.
Published: (2025)

An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes
by: Qi, Ji, et al.
Published: (2025)

Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning
by: Zheng, Yanjun, et al.
Published: (2025)

LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts
by: Cao, Anh-Quan, et al.
Published: (2024)

LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs
by: Wang, Jiarui, et al.
Published: (2025)

Improving Data and Reward Design for Scientific Reasoning in Large Language Models
by: Chen, Zijie, et al.
Published: (2026)

MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding
by: Baek, Jeonghun, et al.
Published: (2025)

TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering
by: Shang, Chuyi, et al.
Published: (2024)

LMM-Det: Make Large Multimodal Models Excel in Object Detection
by: Li, Jincheng, et al.
Published: (2025)

EvoLMM: Self-Evolving Large Multimodal Models with Continuous Rewards
by: Thawakar, Omkar, et al.
Published: (2025)

Empower Vision Applications with LoRA LMM
by: Mi, Liang, et al.
Published: (2024)

RServe: Overlapping Encoding and Prefill for Efficient LMM Inference
by: Guo, Tianyu, et al.
Published: (2025)

LMM-Regularized CLIP Embeddings for Image Classification
by: Tzelepi, Maria, et al.
Published: (2024)

Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality Assessment
by: Chen, Baoliang, et al.
Published: (2024)

FinCoT: Grounding Chain-of-Thought in Expert Financial Reasoning
by: Nitarach, Natapong, et al.
Published: (2025)

FinGuard: Detecting Financial Regulatory Non-Compliance in LLM Interactions
by: Dou, Huaixia, et al.
Published: (2026)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)

F-LMM: Grounding Frozen Large Multimodal Models
by: Wu, Size, et al.
Published: (2024)

FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
by: Liu, Shu, et al.
Published: (2024)

FoodLMM: A Versatile Food Assistant using Large Multi-modal Model
by: Yin, Yuehao, et al.
Published: (2023)

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
by: Luo, Junyu, et al.
Published: (2025)

RM-R1: Reward Modeling as Reasoning
by: Chen, Xiusi, et al.
Published: (2025)

Exploiting LMM-based knowledge for image classification tasks
by: Tzelepi, Maria, et al.
Published: (2024)

Fine-Grained Customized Fashion Design with Image-into-Prompt benchmark and dataset from LMM
by: Li, Hui, et al.
Published: (2025)

DocFinQA: A Long-Context Financial Reasoning Dataset
by: Reddy, Varshini, et al.
Published: (2024)

Graph Neural Networks for Financial Fraud Detection: A Review
by: Cheng, Dawei, et al.
Published: (2024)

FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios
by: Hou, Yutao, et al.
Published: (2026)