--- title: "Jiaheng Liu — papers of 2024 — 5 papers, the most cited first" description: "Jiaheng Liu — papers of 2024: 5 papers on Elamur Research, the most cited first — what each work is about in our own words." canonical: "https://research.elamur.ai/free/en/authors/jiaheng-liu/year/2024/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiaheng-liu/year/2024/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) / 2024 # Jiaheng Liu — papers of 2024 — 5 papers, the most cited first 5 papers · [all years of Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/#years) **[MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues](https://md.research.elamur.ai/free/en/papers/bai-2024-mt-bench-101-fine-grained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ge Bai, Jie Liu, Xingyuan Bu, et al.*2024 · 174 citations* - [Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models arXiv:2411.07140](https://md.research.elamur.ai/free/en/papers/he-2024-chinese-simpleqa-chinese-factuality/) — Yancheng He, Shilong Li, Jiaheng Liu, et al. · 2024 · 34 citations **[DDK: Distilling Domain Knowledge for Efficient Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2024-ddk-distilling-domain-knowledge-efficient/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jiaheng Liu, Chenchen Zhang, Jinyang Guo, et al.*2024 · 23 citations* **[OmniBench: Towards The Future of Universal Omni-Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-omnibench-towards-future-universal-omni/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yizhi Li, Yinghao Ma, Ge Zhang, et al.*2024 · 17 citations* - [Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models arXiv:2412.15265](https://md.research.elamur.ai/free/en/papers/tan-2024-chinese-safetyqa-safety-short/) — Yingshui Tan, Boren Zheng, Baihui Zheng, et al. · 2024 · 4 citations