Papers by Mingyuan Ma
Octopus: On-device language model for function calling of software APIs (2025.naacl-industry)
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| Challenge: | Large Language Models (LLMs) are pivotal for advanced text processing and generation. |
| Approach: | They propose a framework to train on-device Large Language Models optimized for invoking software APIs. |
| Outcome: | The proposed model outperforms GPT-4 in API calling tasks while maintaining inference speed. |
ContextCheck: Sentence-Level Faithfulness Verification with Context-Aware Disambiguation (2026.findings-acl)
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Yueqin Yin, Yaxi Li, Xin Liu, Xun Wang, Kaiqiang Song, Simin Ma, Shujian Liu, Sathish Reddy Indurthi, Haoyun Deng, Pengcheng He, Mingyuan Zhou, Song Wang
| Challenge: | Large language models often hallucinate, producing content that is factually incorrect or not grounded in the sources. |
| Approach: | They propose a framework for sentence-level faithfulness verification with context-aware disambiguation. |
| Outcome: | The proposed framework improves Macro F1 by over 10 points compared to baselines on three context-dependent datasets. |