Papers by Fengting Yuchi
LLMs Know More About Numbers than They Can Say (2026.eacl-short)
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| Challenge: | Large language models (LLMs) are increasingly used in mathematical, scientific, financial and engineering domains. |
| Approach: | They probe the hidden states of several smaller open-source LLMs to find out how big they are . |
| Outcome: | The proposed model improves verbalized accuracy by 3.22% over base models. |
FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models (2025.findings-acl)
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| Challenge: | Federated Learning (FL) enables privacy-preserving collaborative instruction tuning of large language models. |
| Approach: | They propose a federated instruction tuning framework with dynamic data quality control to solve this problem. |
| Outcome: | The proposed framework improves performance on mixed-quality datasets on synthetic and real-world datasets. |