11 papers
BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual Evaluation
Xin Guo, Rongjunchen Zhang, Guilong Lu +4
Large language models are becoming increasingly significant in financial applications. Nevertheless, prevailing benchmarks are largely dependent on simulated or generic data, which…
PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data
Kai Xiong, Yanwei Huang, Rongjunchen Zhang +3
High-quality mathematical and logical datasets with verifiable answers are essential for strengthening the reasoning capabilities of large language models (LLMs). While recent data…
JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation
Kai Liu, Yanhao Zheng, Kai Wang +7
AIGC has rapidly expanded from text-to-image generation toward high-quality multimodal synthesis across video and audio. Within this context, joint audio-video generation (JAVG) ha…
FinMTM: A Multi-Turn Multimodal Benchmark for Financial Reasoning and Agent Evaluation
Chenxi Zhang, Ziliang Gan, Liyun Zhu +3
The financial domain poses substantial challenges for vision-language models (VLMs) due to specialized chart formats and knowledge-intensive reasoning requirements. However, existi…
Compress to Focus: Efficient Coordinate Compression for Policy Optimization in Multi-Turn GUI Agents
Yurun Song, Jiong Yin, Rongjunchen Zhang +1
Multi-turn GUI agents enable complex task completion through sequential decision-making, but suffer from severe context inflation as interaction history accumulates. Existing strat…
UniFinEval: Towards Unified Evaluation of Financial Multimodal Models across Text, Images and Videos
Zhi Yang, Lingfeng Zeng, Fangqi Lou +16
Multimodal large language models are playing an increasingly significant role in empowering the financial domain, however, the challenges they face, such as multimodal and high-den…