Papers by Geoffrey Martin
Budget-Aware Routing for Long Clinical Text (2026.findings-acl)
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| Challenge: | Long-context capability is now a headline feature of large language models . clinical inputs are long because they are templated, redundant, and stitched from multiple sources. |
| Approach: | They propose a token-constrained subset selection problem with two design choices . they propose heuristics that balance relevance, coverage, diversity and a monotone submodular objective . |
| Outcome: | The proposed model is based on a subset selection problem with two design choices . positional heuristics perform best at low budgets in extractive tasks, while diversity-aware methods improve LLM generation. |
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends (2026.findings-acl)
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Yihao Ding, Siwen Luo, Yue Dai, Yanbei Jiang, Zechuan Li, Qiang Sun, Geoffrey Martin, Wei Liu, Yifan Peng
| Challenge: | Visually Rich Document Understanding (VRDU) frameworks are a key area of research . early approaches to VRDU relied on manually crafted rules and domain-specific heuristics . conventional deep learning approaches do not integrate the diverse modalities in documents . |
| Approach: | They review recent advances in MLLM-based Visually Rich Document Understanding (VRDU) their findings highlight emerging trends and promising research directions . |
| Outcome: | The proposed frameworks are scalable, reliable, and adaptable, the authors argue . their findings highlight emerging trends and promising research directions . |