Papers with DTA
Catch Me If You GPT: Tutorial on Deepfake Texts (2024.naacl-tutorials)
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| Challenge: | In recent years, natural language generation (NLG) techniques have advanced, but pose new security risks . this tutorial will be 3 hours long with a mix of lecture and hands-on examples for interactive audience participation. |
| Approach: | They present a tutorial on the security of natural language generation (NLG) they review the latest literature on the detection and obfuscation of deepfake text authorships . |
| Outcome: | This tutorial reviews the latest literature on the detection and obfuscation of deepfake text authorships. |
Detecting de minimis Code-Switching in Historical German Books (2020.coling-main)
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| Challenge: | Code-switching has drawn scholarly attention in computational linguistics and natural language processing from many different perspectives. |
| Approach: | They propose to compare informal code-switching to its appearance in more formal registers by annotating and inspecting the German textarchives. |
| Outcome: | The proposed classifiers can help reduce errors when speech recognition is applied to a large corpus with rare embedded languages. |
Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG (2025.acl-long)
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Xin Sun, Jianan Xie, Zhongqi Chen, Qiang Liu, Shu Wu, Yuehe Chen, Bowen Song, Zilei Wang, Weiqiang Wang, Liang Wang
| Challenge: | Large language models (LLMs) augmented with retrieval systems have significantly advanced natural language processing tasks by integrating external knowledge sources. |
| Approach: | They propose a method that conditions large language models to generate answers even in the absence of reliable knowledge. |
| Outcome: | The proposed approach balances accuracy with appropriate abstention, enhancing the reliability and trustworthiness of retrieval-augmented systems. |