Papers by Donglin Di
Towards Multi-System Log Anomaly Detection (2025.acl-industry)
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| Challenge: | Existing models require dataset-specific training, causing costly procedures and performance bottlenecks. |
| Approach: | They propose a log anomaly detection model with semantic relational reasoning that extracts cross-system semantic patterns and encodes them as high-dimensional learnable vectors. |
| Outcome: | The proposed model extracts cross-system semantic patterns and encodes them as high-dimensional learnable vectors. |
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation (2025.acl-industry)
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| Challenge: | CodeIF assesses the ability of large language models to adhere to task-oriented instructions in code generation tasks. |
| Approach: | They introduce a benchmark designed to assess LLMs' ability to adhere to task-oriented instructions within diverse code generation scenarios. |
| Outcome: | The proposed benchmark assesses LLMs' ability to adhere to task-oriented instructions in code generation tasks across a wide range of complexity levels and programming domains. |