Papers by Chunlai Zhou
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering (2025.findings-emnlp)
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| Challenge: | a new metric is developed to pinpoint the moment of invocation when hallucinations arise in small LMs. |
| Approach: | They propose a metric that measures hallucinations during the generation process of small LMs. |
| Outcome: | The proposed metric outperforms baselines in hallucination detection across multiple QA datasets. |
Locally Differentially Private In-Context Learning (2024.lrec-main)
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| Challenge: | Large pretrained language models (LLMs) have shown surprising In-Context Learning ability. |
| Approach: | They propose a locally differentially private framework of in-context learning for LLMs that can be augmented with a private database for some specific task. |
| Outcome: | The proposed framework can predict labels without additional parameter modifications without input-label pairs . |