---
title: "Bin Wang — papers of 2025 — 6 papers, the most cited first"
description: "Bin Wang — papers of 2025: 6 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/bin-wang/year/2025/"
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# Bin Wang — papers of 2025 — 6 papers, the most cited first

6 papers · [all years of Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/#years)

**[AudioBench: A Universal Benchmark for Audio Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-audiobench-universal-benchmark-audio-large/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bin Wang, Xunlong Zou, Geyu Lin, et al.*2025 · 77 citations*

- [Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding arXiv:2507.19427](https://md.research.elamur.ai/free/en/papers/stepfun-2025-step-3-large-yet/) — StepFun, Bin Wang, Bojun Wang, et al. · 2025 · 26 citations

**[SURVEYFORGE : On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing](https://md.research.elamur.ai/free/en/papers/yan-2025-surveyforge-outline-heuristics-memory-driven/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangchao Yan, Shiyang Feng, Jiakang Yuan, et al.*2025 · 20 citations*

- [Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition arXiv:2505.22375](https://md.research.elamur.ai/free/en/papers/chen-2025-pangu-embedded-efficient-dual/) — Hanting Chen, Yasheng Wang, Kai Han, et al. · 2025 · 13 citations
- [100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models arXiv:2505.00551](https://md.research.elamur.ai/free/en/papers/zhang-2025-100-days-after-deepseek/) — Chong Zhang, Yue Deng, Xiang Lin, et al. · 2025 · 9 citations
- [Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models arXiv:2501.01034](https://md.research.elamur.ai/free/en/papers/wang-2025-advancing-singlish-understanding-bridging-gap/) — Bin Wang, Xunlong Zou, Shuo Sun, et al. · 2025 · 7 citations