Papers by Patrick Lange
DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines (2023.findings-emnlp)
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Prakhar Gupta, Yang Liu, Di Jin, Behnam Hedayatnia, Spandana Gella, Sijia Liu, Patrick Lange, Julia Hirschberg, Dilek Hakkani-Tur
| Challenge: | Dialogue models are able to generate fluent and interesting responses, but they can be difficult to control and may produce non-engaging, unsafe results. |
| Approach: | They propose a framework for controlling dialogue model behavior using natural language rules, or guidelines, which provide information about the context they are applicable to and what should be included in the response. |
| Outcome: | The proposed framework is effective in three open-domain dialogue response generation tasks and is consistent with the developer's expectations and intent. |
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports (2024.lrec-main)
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Lukas Lange, Marc Müller, Ghazaleh Haratinezhad Torbati, Dragan Milchevski, Patrick Grau, Subhash Chandra Pujari, Annemarie Friedrich
| Challenge: | Abstract: Natural language processing can help with managing large amounts of unstructured information. |
| Approach: | They propose to annotate a CC-BY-SA-licensed dataset of cyber threat reports . they use named entities, temporal expressions, and cybersecurity-specific concepts . |
| Outcome: | The proposed dataset annotates reports with named entities, temporal expressions, and cybersecurity-specific concepts including implicitly mentioned techniques and tactics. |
Multimodal Embodied Plan Prediction Augmented with Synthetic Embodied Dialogue (2023.emnlp-main)
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| Challenge: | Embodied task completion requires an agent to predict environment actions to complete tasks based on natural language instructions and egocentric visual observations. |
| Approach: | They propose a method to generate human-human dialogues and use them as training data for plan prediction. |
| Outcome: | The proposed model outperforms language-only models but falls short of oracle plans. |
My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers (P19-3)
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Nitin Madnani, Beata Beigman Klebanov, Anastassia Loukina, Binod Gyawali, Patrick Lange, John Sabatini, Michael Flor
| Challenge: | My Turn To Read is an educational app that helps struggling readers improve reading skills while reading for meaning and pleasure. |
| Approach: | They propose an app that uses interleaved reading to help struggling readers improve reading skills while reading for meaning and pleasure. |
| Outcome: | The app helps struggling readers improve reading skills while reading for meaning and pleasure. |