40 citations · 92 across the 11 of their papers we have counts for
11 papers
VER-Bench: Evaluating MLLMs on Reasoning with Fine-Grained Visual Evidence
Chenhui Qiang, Zhaoyang Wei, Xumeng Han +5
With the rapid development of MLLMs, evaluating their visual capabilities has become increasingly crucial. Current benchmarks primarily fall into two main types: basic perception b…
FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data
Deren Lei, Yaxi Li, Siyao Li +6
Prior research on training grounded factuality classification models to detect hallucinations in large language models (LLMs) has relied on public natural language inference (NLI)…
Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations
Zilin Ma, Susannah, Su +14
Humanitarian negotiations in conflict zones, called \emph{frontline negotiation}, are often highly adversarial, complex, and high-risk. Several best-practices have emerged over the…
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules
Zhi-Qi Cheng, Qi Dai, Siyao Li +3
Charts are a powerful tool for visually conveying complex data, but their comprehension poses a challenge due to the diverse chart types and intricate components. Existing chart co…
GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement
Zhi-Qi Cheng, Qi Dai, Siyao Li +2
Grounded Situation Recognition (GSR) aims to generate structured semantic summaries of images for "human-like" event understanding. Specifically, GSR task not only detects the sali…
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health
Calvin Bao, Siyao Li, Sarah Flores +2
The promise of visualization recommendation systems is that analysts will be automatically provided with relevant and high-quality visualizations that will reduce the work of manua…
Demonstration of VegaPlus: Optimizing Declarative Visualization Languages
Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy +3
While many visualization specification languages are user-friendly, they tend to have one critical drawback: they are designed for small data on the client-side and, as a result, p…
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
Yi Cheng, Siyao Li, Bang Liu +4
This paper explores the task of Difficulty-Controllable Question Generation (DCQG), which aims at generating questions with required difficulty levels. Previous research on this ta…
Detecting Hate Speech in Multi-modal Memes
Abhishek Das, Japsimar Singh Wahi, Siyao Li
In the past few years, there has been a surge of interest in multi-modal problems, from image captioning to visual question answering and beyond. In this paper, we focus on hate sp…
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization
Siyao Li, Deren Lei, Pengda Qin +1
Deep reinforcement learning (RL) has been a commonly-used strategy for the abstractive summarization task to address both the exposure bias and non-differentiable task issues. Howe…
Multi-agent System Design for Dummies
Siyao Li
Agent technology, a new paradigm in software engineering, has received attention from research and industry since 1990s. However, it is still not used widely to date because it req…