---
title: "Min Yang — papers of 2024 — 6 papers, the most cited first"
description: "Min Yang — papers of 2024: 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/min-yang/year/2024/"
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# Min Yang — papers of 2024 — 6 papers, the most cited first

6 papers · [all years of Min Yang](https://md.research.elamur.ai/free/en/authors/min-yang/#years)

**[Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training](https://md.research.elamur.ai/free/en/papers/fang-2024-enhancing-noise-robustness-retrieval-augmented/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Feiteng Fang, Yuelin Bai, Shiwen Ni, et al.*2024 · 75 citations*

**[Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA](https://md.research.elamur.ai/free/en/papers/wang-2024-leave-no-document-behind-benchmarking/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minzheng Wang, Longze Chen, Fu Cheng, et al.*2024 · 72 citations*

**[One-Shot Learning as Instruction Data Prospector for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-one-shot-learning-as-instruction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunshui Li, Binyuan Hui, Xiaobo Xia, et al.*2024 · 61 citations*

**[Multi-modal Stance Detection: New Datasets and Model](https://md.research.elamur.ai/free/en/papers/liang-2024-multi-modal-stance-detection-new/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bin Liang, Ang Li, Jingqian Zhao, et al.*2024 · 28 citations*

**[A Challenge Dataset and Effective Models for Conversational Stance Detection](https://md.research.elamur.ai/free/en/papers/niu-2024-challenge-dataset-effective-models-conversational/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fuqiang Niu, Min Yang, Ang Li, et al.*2024 · 12 citations*

- [E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models arXiv:2401.15927](https://md.research.elamur.ai/free/en/papers/hou-2024-e-eval-comprehensive-chinese/) — Jinchang Hou, Chang Ao, Haihong Wu, et al. · 2024 · 11 citations