---
title: "Xiang Yue — all works — Elamur Research"
description: "All 32 works of Xiang Yue in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/xiang-yue/works/"
---
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# Xiang Yue — all works

32 works · [← Xiang Yue](https://md.research.elamur.ai/free/en/authors/xiang-yue/)

1. **[MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI](https://md.research.elamur.ai/free/en/papers/yue-2023-mmmu-massive-multi-discipline-multimodal/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Xiang Yue, Yuansheng Ni, Kai Zhang, et al.*2023 · 1,005 citations*
2. [**MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning arXiv:2309.05653**Xiang Yue, Xingwei Qu, Ge Zhang, et al.*2023 · 295 citations*](https://md.research.elamur.ai/free/en/papers/yue-2023-mammoth-building-math-generalist-models/)
3. [**Long-context LLMs Struggle with Long In-context Learning arXiv:2404.02060**Tianle Li, Ge Zhang, Quy Duc Do, et al.*2024 · 138 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-long-context-llms-struggle-long/)
4. **[OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement ↗](https://aclanthology.org/2024.findings-acl.762/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Tianyu Zheng et al.*2024 · 129 citations*
5. **[MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ↗](https://arxiv.org/abs/2409.02813) arXiv:2409.02813 · no summary yet**Xiang Yue et al.*2024 · 123 citations*
6. [**Demystifying Long Chain-of-Thought Reasoning in LLMs arXiv:2502.03373**Edward Yeo, Yuxuan Tong, Morry Niu, et al.*2025 · 119 citations*](https://md.research.elamur.ai/free/en/papers/yeo-2025-demystifying-long-chain-thought-reasoning/)
7. [**Data Engineering for Scaling Language Models to 128K Context arXiv:2402.10171**Yao Fu, Rameswar Panda, Xinyao Niu, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/)
8. **[MAmmoTH2: Scaling Instructions from the Web](https://md.research.elamur.ai/free/en/papers/yue-2024-mammoth2-scaling-instructions-web/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xiang Yue, Tuney Zheng, Ge Zhang, et al.*2024 · 96 citations*
9. **[Differential Privacy for Text Analytics via Natural Text Sanitization ↗](https://aclanthology.org/2021.findings-acl.337/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Xiang Yue et al.*2021 · 94 citations*
10. **[Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate ↗](https://aclanthology.org/2023.findings-emnlp.795/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Boshi Wang, Xiang Yue, Huan Sun*2023 · 93 citations*
11. **[Machine Unlearning of Pre-trained Large Language Models](https://md.research.elamur.ai/free/en/papers/yao-2024-machine-unlearning-pre-trained-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jin Yao, Eli Chien, Minxin Du, et al.*2024 · 86 citations*
12. **[TableLlama: Towards Open Large Generalist Models for Tables ↗](https://arxiv.org/abs/2311.09206) arXiv:2311.09206 · no summary yet**Tianshu Zhang et al.*2023 · 82 citations*
13. **[VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation](https://md.research.elamur.ai/free/en/papers/ku-2024-viescore-explainable-metrics-conditional-image/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Max Ku, Dongfu Jiang, Cong Wei, et al.*2024 · 68 citations*
14. **[Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents](https://md.research.elamur.ai/free/en/papers/song-2024-trial-error-exploration-based-trajectory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifan Song, Da Yin, Xiang Yue, et al.*2024 · 53 citations*
15. **[TableLlama: Towards Open Large Generalist Models for Tables ↗](https://aclanthology.org/2024.naacl-long.335/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Tianshu Zhang et al.*2024 · 53 citations*
16. **[MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures](https://md.research.elamur.ai/free/en/papers/ni-2024-mixeval-deriving-wisdom-crowd-llm/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jinjie Ni, Fuzhao Xue, Xiang Yue, et al.*2024 · 47 citations*
17. **[Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages ↗](https://arxiv.org/abs/2410.16153) arXiv:2410.16153 · no summary yet**Xiang Yue et al.*2024 · 46 citations*
18. **[MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale](https://md.research.elamur.ai/free/en/papers/guo-2025-mammoth-vl-eliciting-multimodal-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiawei Guo, Tianyu Zheng, Yizhi Li, et al.*2025 · 40 citations*
19. **[VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding? ↗](https://arxiv.org/abs/2404.05955) arXiv (Cornell University) · no summary yet**Junpeng Liu et al.*2024 · 33 citations*
20. **[Evaluating Language Models as Synthetic Data Generators](https://md.research.elamur.ai/free/en/papers/kim-2025-evaluating-language-models-as-synthetic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Seungone Kim, Juyoung Suk, Xiang Yue, et al.*2025 · 32 citations*
21. **[Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization ↗](https://arxiv.org/abs/2405.15071) arXiv:2405.15071 · no summary yet**Boshi Wang et al.*2024 · 30 citations*
22. **[JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation ↗](https://aclanthology.org/2025.naacl-long.43/) Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Shota Onohara et al.*2025 · 16 citations*
23. **[Harnessing Webpage UIs for Text-Rich Visual Understanding ↗](https://arxiv.org/abs/2410.13824) arXiv (Cornell University) · no summary yet**Junpeng Liu et al.*2024 · 11 citations*
24. **[VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search](https://md.research.elamur.ai/free/en/papers/jia-2025-visualwebinstruct-scaling-up-multimodal-instruction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yiming Jia, Jiachen Li, Xiang Yue, et al.*2025 · 9 citations*
25. **[VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge ↗](https://arxiv.org/abs/2504.10342) arXiv (Cornell University) · no summary yet**Yueqi Song et al.*2025 · 8 citations*
26. **[Overtrained Language Models Are Harder to Fine-Tune ↗](https://arxiv.org/abs/2503.19206) arXiv (Cornell University) · no summary yet**Jacob M. Springer et al.*2025 · 8 citations*
27. **[ESPnet-SpeechLM: An Open Speech Language Model Toolkit ↗](https://aclanthology.org/2025.naacl-demo.12/) Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations) · no summary yet**Jinchuan Tian et al.*2025 · 6 citations*
28. **[Synthetic Data in the Era of Large Language Models ↗](https://aclanthology.org/2025.acl-tutorials.7/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts) · no summary yet**Vijay Viswanathan et al.*2025 · 6 citations*
29. **[The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think ↗](https://arxiv.org/abs/2505.10185) arXiv (Cornell University) · no summary yet**Seongyun Lee et al.*2025 · 4 citations*
30. **[On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists ↗](https://arxiv.org/abs/2605.20668) arXiv:2605.20668 · no summary yet**Seungone Kim et al.*2026 · 2 citations*
31. **[JobBench: Aligning Agent Work With Human Will ↗](https://arxiv.org/abs/2605.26329) arXiv (Cornell University) · no summary yet**Yuetai Li et al.*2026 · 1 citation*
32. **[PACE: A Proxy for Agentic Capability Evaluation ↗](https://arxiv.org/abs/2607.02032) arXiv (Cornell University) · no summary yet**Y Song et al.*2026 · 1 citation*