2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
Mind the Gap No More: Achieving Zero-Gap Multimodal Integration via One Tokenizer
Yanan Li, Christina Yi Jin, Yuan Jin +5
A central challenge in developing Multimodal Large Language Models (MLLMs) is effectively integrating heterogeneous inputs into a cohesive reasoning engine. Current paradigms predo…
ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
Qing Zhang, Bing Xu, Xudong Zhang +9
The remarkable performance of Large Language Models (LLMs) highly relies on crafted prompts. However, manual prompt engineering is a laborious process, creating a core bottleneck f…
An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism
Qing Zhang, Haocheng Lv, Jie Liu +5
With the rise of large-scale language models (LLMs), it is currently popular and effective to convert multimodal information into text descriptions for multimodal multi-hop questio…