Papers by Kyu Han
On the Use of External Data for Spoken Named Entity Recognition (2022.naacl-main)
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| Challenge: | Named entity recognition (NER) tasks require large labeled datasets to perform . compared to prior work, relative improvements in F1 of up to 16% are found . |
| Approach: | They propose to use self-training, knowledge distillation, and transfer learning to learn SLU models . they compare pipeline and pipeline approaches to find out how to use external data . |
| Outcome: | The proposed models improve performance beyond pre-trained models in resource-constrained settings . the best baseline model is a pipeline approach, while the best performance is achieved by an E2E model. |
SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models (2024.findings-acl)
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Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu Han, Katrin Kirchhoff
| Challenge: | Integrated Speech and Large Language Models (SLMs) that follow speech instructions and generate relevant text responses have gained popularity lately. |
| Approach: | They propose algorithms that can generate adversarial examples to jailbreak SLMs without human involvement. |
| Outcome: | The proposed algorithms achieve state-of-the-art on spoken question-answering task scoring over 80% on both safety and helpfulness metrics. |