Papers with PSS
Page Stream Segmentation with LLMs: Challenges and Applications in Insurance Document Automation (2025.coling-industry)
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| Challenge: | Existing models for page Stream Segmentation (PSS) are inadequate for high-stakes applications. |
| Approach: | They propose to use large language models for page Stream Segmentation to apply parameter-efficient fine-tuning to real-world insurance data. |
| Outcome: | The proposed model outperforms baseline models in page- and stream-level segmentation accuracy. |
Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features (L18-1)
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| Challenge: | (retro-)digitizing paper-based files is a major undertaking for private and public archives and an important task in electronic mailroom applications. |
| Approach: | They propose to use convolutional neural networks to combine image and text features to achieve optimal document separation. |
| Outcome: | The proposed approach achieves an accuracy of 93 % and is considered a state-of-the-art for this task. |
Understanding GUI Agent Localization Biases through Logit Sharpness (2025.findings-emnlp)
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| Challenge: | Multimodal large language models often exhibit hallucinations that compromise reliability . despite promising performance, these models often display systematic localization errors . |
| Approach: | They propose a framework that categorizes model predictions into four distinct types . they propose metric that evaluates alignment between semantic continuity and logits distribution . |
| Outcome: | The proposed framework categorizes model predictions into four different types . it reveals nuanced failure modes beyond traditional accuracy metrics . |