---
title: "Dahua Lin — papers of 2024 — 9 papers, the most cited first"
description: "Dahua Lin — papers of 2024: 9 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Dahua Lin — papers of 2024 — 9 papers, the most cited first

9 papers · [all years of Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/#years)

**[Are We on the Right Way for Evaluating Large Vision-Language Models?](https://md.research.elamur.ai/free/en/papers/chen-2024-right-way-evaluating-large-vision/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lin Chen, Jinsong Li, Xiaoyi Dong, et al.*2024 · 277 citations*

**[SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-salad-bench-hierarchical-comprehensive-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lijun Li, Bowen Dong, Ruohui Wang, et al.*2024 · 119 citations*

**[Lean Workbook: A large-scale Lean problem set formalized from natural language math problems](https://md.research.elamur.ai/free/en/papers/ying-2024-lean-workbook-large-scale-lean/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Huaiyuan Ying, Zijian Wu, Yihan Geng, et al.*2024 · 80 citations*

**[MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark](https://md.research.elamur.ai/free/en/papers/liu-2024-mathbench-evaluating-theory-application-proficiency/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongwei Liu, Zilong Zheng, Yuxuan Qiao, et al.*2024 · 70 citations*

**[Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-agent-flan-designing-data-methods/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.*2024 · 64 citations*

- [InternLM2.5-StepProver: Advancing Automated Theorem Proving via Critic-Guided Search arXiv:2410.15700](https://md.research.elamur.ai/free/en/papers/wu-2024-internlm2-5-stepprover-advancing-automated/) — Zijian Wu, Suozhi Huang, Zhejian Zhou, et al. · 2024 · 59 citations
- [LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K arXiv:2402.05136](https://md.research.elamur.ai/free/en/papers/yuan-2024-lv-eval-balanced-long-context/) — Tao Yuan, Xuefei Ning, Dong Zhou, et al. · 2024 · 41 citations
- [Unearthing Large Scale Domain-Specific Knowledge from Public Corpora arXiv:2401.14624](https://md.research.elamur.ai/free/en/papers/fei-2024-unearthing-large-scale-domain-specific/) — Zhaoye Fei, Yunfan Shao, Linyang Li, et al. · 2024 · 10 citations
- [InternLM-Law: An Open Source Chinese Legal Large Language Model arXiv:2406.14887](https://md.research.elamur.ai/free/en/papers/fei-2024-internlm-law-open-source/) — Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, et al. · 2024 · 9 citations