Papers by Liwen Hou
Detecting Syntactic Change with Pre-trained Transformer Models (2023.findings-emnlp)
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| Challenge: | a fine-tuned BERT model can distinguish between text from the early 1800s and late 1900s . we use it to identify specific instances of syntactic change and specific words for which a new part of speech was introduced. |
| Approach: | They propose to use a BERT-based model to find syntactic differences between English of the early 1800s and that of the late 1900s. |
| Outcome: | The proposed model can distinguish between English of the early 1800s and that of the late 1900s using only syntactic information. |
FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios (2026.findings-acl)
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| Challenge: | Existing large language models (LLMs) are prone to misuse and misinformation, posing serious compliance risks. |
| Approach: | They propose a bilingual red-teaming benchmark to test an LLM’s refusal of requests that violate financial compliance. |
| Outcome: | The proposed benchmark is based on real-world financial crime cases and ethical violations and includes 14 subcategories covering financial crimes and ethical breaches. |