Papers by Hanzhuo Tan
Understanding Social Media Cross-Modality Discourse in Linguistic Space (2022.findings-emnlp)
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| Challenge: | Existing studies on how images are structured with texts to form coherent meanings in human cognition have not addressed the problem. |
| Approach: | They propose a concept of cross-modality discourse which defines how human readers couple image and text understandings. |
| Outcome: | The proposed model shows that trendy encoders based on multi-head attention are unable to understand cross-modality discourse and modeling texts at the output layer helps yield the-state-of-the-art results. |
LLM4Decompile: Decompiling Binary Code with Large Language Models (2024.emnlp-main)
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| Challenge: | Decompilation aims to convert binary code to high-level source code, but traditional tools like Ghidra often produce results that are difficult to read and execute. |
| Approach: | They propose an open-source LLM series trained to decompile binary code . they optimize the LLM training process and introduce the Llm4Decompile-End models . |
| Outcome: | The proposed models outperform GPT-4o and Ghidra on the HumanEval and ExeBench benchmarks by over 100% in terms of re-executability rate. |
When Cantonese NLP Meets Pre-training: Progress and Challenges (2022.aacl-tutorials)
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| Challenge: | Cantonese is an influential Chinese variant with a large population of speakers worldwide. |
| Approach: | This tutorial will review Cantonese's progress in linguistics and NLP . it will introduce transformer-based pre-training methods for a wide range of downstream tasks . |
| Outcome: | This tutorial will present the main challenges for Cantonese NLP in relation to Cantonesian language idiosyncrasies of colloquialism and multilingualism. |