1 citations · 1 across the 5 of their papers we have counts for
5 papers
Preserving What Matters: Semantic Scaffolds Beyond Saturation in Summarization Evaluation
Nikhil Reddy Pottanigari, Ramin Fahimi, Noah Bolger +2
Summarization ships in countless production systems, making model selection a routine decision that depends on measuring summary quality. Existing metrics struggle to support this:…
Text, Pixels, or Both? Evaluating Input Representations for Multimodal Document QA
Nikhil Reddy Pottanigari, Sepideh Kharaghani, Saverio Vadacchino +3
Every document QA system begins with a choice that is rarely studied on its own: whether to feed the model page images, extracted text, or both. We isolate this choice, holding the…
GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation
Zihe Wei, Sheng Xiang, Ying Zhang +1
Graph-structured data underpins applications from citation analysis and social-network modeling to molecular design and knowledge-graph construction, and Large Language Models (LLM…
COSMIC 1001: Engaging Future Speculation on Space Exploration with Generative AI
Lingyu Peng, Yu Liang, Ying Zhang +2
Cosmic 1001 is an interactive installation that transforms space exploration history into a speculative news experience. Participants first browse a news-based archive of major spa…
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
Juan Rodriguez, Xiangru Jian, Siba Smarak Panigrahi +40
Multimodal AI has the potential to significantly enhance document-understanding tasks, such as processing receipts, understanding workflows, extracting data from documents, and sum…