---
title: "Who cites Weiran Yao — 78 papers of our library"
description: "78 papers of the Elamur Research library cite the works of Weiran Yao, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/weiran-yao/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/weiran-yao/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Weiran Yao](https://md.research.elamur.ai/free/en/authors/weiran-yao/) / cited by

# Who cites Weiran Yao

83 citations of their works from 78 papers of our library (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · [← Weiran Yao](https://md.research.elamur.ai/free/en/authors/weiran-yao/)

1. [**OS-ATLAS: A Foundation Action Model for Generalist GUI Agents arXiv:2410.23218**Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, et al.*2024 · 67 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-os-atlas-foundation-action-model/)
2. [**NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model arXiv:2508.14444**NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.*2025 · 39 citations*](https://md.research.elamur.ai/free/en/papers/basant-2025-nvidia-nemotron-nano-2-accurate/)
3. **[APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay](https://md.research.elamur.ai/free/en/papers/prabhakar-2025-apigen-mt-agentic-pipeline-multi/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Akshara Prabhakar, Zuxin Liu, Ming Zhu, et al.*2025 · 36 citations*
4. **[MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/zhao-2025-mmlu-cf-contamination-free-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qihao Zhao, Yangyu Huang, Tengchao Lv, et al.*2025 · 21 citations*
5. **[NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls](https://md.research.elamur.ai/free/en/papers/basu-2025-nestful-benchmark-evaluating-llms-nested/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kinjal Basu, Ibrahim Abdelaziz, Kiran Kate, et al.*2025 · 16 citations*
6. [**Qwen3-Coder-Next Technical Report arXiv:2603.00729**Ruisheng Cao, Mouxiang Chen, Jiawei Chen, et al.*2026 · 15 citations*](https://md.research.elamur.ai/free/en/papers/cao-2026-qwen3-coder-next-technical/)
7. **[Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model](https://md.research.elamur.ai/free/en/papers/acikgoz-2025-can-single-model-master-both/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Emre Can Acikgoz, Jeremiah Greer, Akul Datta, et al.*2025 · 13 citations*
8. **[When2Call: When (not) to Call Tools](https://md.research.elamur.ai/free/en/papers/ross-2025-when2call-when-not-call-tools/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hayley Ross, Ameya Sunil Mahabaleshwarkar, Yoshi Suhara*2025 · 11 citations*
9. **[LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls](https://md.research.elamur.ai/free/en/papers/zhang-2026-looptool-closing-data-training-loop/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kangning Zhang, Weiwen Liu, Wenxiang Jiao, et al.*2026 · 6 citations*
10. [**rStar2-Agent: Agentic Reasoning Technical Report arXiv:2508.20722**Ning Shang, Yifei Liu, Yi Zhu, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/shang-2025-rstar2-agent-agentic-reasoning/)
11. **[EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis](https://md.research.elamur.ai/free/en/papers/song-2026-envscaler-scaling-tool-interactive-environments/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaoshuai Song, Haofei Chang, Guanting Dong, et al.*2026 · 5 citations*
12. **[Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text](https://md.research.elamur.ai/free/en/papers/xu-2026-unlocking-implicit-experience-synthesizing-tool/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhihao Xu, Rumei Li, Jiahuan Li, et al.*2026 · 4 citations*
13. **[Failure makes the agent stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions](https://md.research.elamur.ai/free/en/papers/su-2026-failure-makes-agent-stronger-enhancing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junhao Su, Yuanliang Wan, Junwei Yang, et al.*2026 · 2 citations*
14. **[Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents](https://md.research.elamur.ai/free/en/papers/wang-2026-trajectory2task-training-robust-tool-calling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyi Wang, Yuxuan Lu, Yimeng Zhang, et al.*2026 · 2 citations*
15. **[DRAGON: Domain-specific Robust Automatic Data Generation for RAG Optimization](https://md.research.elamur.ai/free/en/papers/shen-2026-dragon-domain-specific-robust-automatic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyang Shen, Hang Yan, Zhongshi Xing, et al.*2026 · 1 citation*
16. **[Label-Consistent Data Generation for Aspect-Based Sentiment Analysis Using LLM Agents](https://md.research.elamur.ai/free/en/papers/monfared-2026-label-consistent-data-generation-aspect/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Mohammad Hossein Akbari Monfared, Lucie Flek, Akbar Karimi*2026 · 1 citation*
17. **[Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors](https://md.research.elamur.ai/free/en/papers/zhang-2026-robust-tool-use-fission-grpo/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiwei Zhang, Fei Zhao, Rui Wang, et al.*2026 · 1 citation*
18. **[SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs](https://md.research.elamur.ai/free/en/papers/sun-2026-sepseq-training-free-framework-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jie Sun, Yu Liu, Lu Han, et al.*2026 · 1 citation*
19. **[TInR: Exploring Tool-Internalized Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-tinr-exploring-tool-internalized-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qiancheng Xu, Yongqi Li, Fan Liu, et al.*2026 · 1 citation*
20. **[EfficientTool: A Cost-Effective Aligning Framework for Tool-Conditioned Agents in SME Scenarios](https://md.research.elamur.ai/free/en/papers/mu-2026-efficienttool-cost-effective-aligning-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanqi Mu, Bingfeng Pi, Defei Xia, et al.*2026*
21. **[FAER: Benchmarking VLMs for Failure-Aware Embodied Reasoning](https://md.research.elamur.ai/free/en/papers/song-2026-faer-benchmarking-vlms-failure-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Song, Kaifeng Liu, Yuanxing Liu, et al.*2026*
22. **[Training Verifier to Assessing Complex Real-World Tool-Use Trajectories](https://md.research.elamur.ai/free/en/papers/sun-2026-training-verifier-assessing-complex-real/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Linzhuang Sun, Mingyang Chen, Hao Liang, et al.*2026*
23. **[U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents](https://md.research.elamur.ai/free/en/papers/su-2026-u-fold-dynamic-intent-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Su, Runnan Fang, Yeqiu Li, et al.*2026*

55 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/weiran-yao/) — Weiran Yao
