Papers by Zhaoling Chen
LocAgent: Graph-Guided LLM Agents for Code Localization (2025.acl-long)
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Zhaoling Chen, Robert Tang, Gangda Deng, Fang Wu, Jialong Wu, Zhiwei Jiang, Viktor Prasanna, Arman Cohan, Xingyao Wang
| Challenge: | Existing approaches struggle to efficiently navigate complex codebases when identifying relevant code snippets. |
| Approach: | They propose a graph-guided agent framework that addresses code localization through a distributed graph-based agent. |
| Outcome: | The proposed framework improves accuracy on real-world benchmarks and can be used to locate code snippets at a cost of 86%. |
Multi-Prompting Decoder Helps Better Language Understanding (2025.findings-acl)
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| Challenge: | Existing methods to adapt Pre-trained Language Models to downstream tasks are limited by their inference APIs. |
| Approach: | They propose a multi-prompting decoding framework that query PLMs with multiple prompts . they propose to query Plms with optimal transport for hidden states and calibrated decoding for class scores . |
| Outcome: | The proposed framework achieves state-of-the-art results on multiple natural language understanding datasets under the few-shot setting. |