🧑‍🔬 Who cites Tianjun Xiao

320 citations of their works from 319 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · ← Tianjun Xiao

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. AllenNLP: A Deep Semantic Natural Language Processing PlatformarXiv:1803.07640Matt Gardner, Joel Grus, Mark Neumann, et al.2018 · 1,819 citations
3. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
4. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
5. ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence PairsTransactions of the Association for Computational Linguistics (TACL)Wenpeng Yin, Hinrich Schütze, Bing Xiang, et al.2016 · 1,055 citations
6. Triton: An Intermediate Language and Compiler for Tiled Neural Network ComputationsMAPL 2019Philippe Tillet, H. T. Kung, David Cox2019 · 729 citations
7. DyNet: The Dynamic Neural Network ToolkitarXiv:1701.03980Graham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 489 citations
8. Graph-to-Sequence Learning using Gated Graph Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Beck, Gholamreza Haffari, Trevor Cohn2018 · 459 citations
9. Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning AbstractionsarXiv:1802.04730Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, et al.2018 · 323 citations
10. Beyond Data and Model Parallelism for Deep Neural NetworksSysML 2019Zhihao Jia, Matei Zaharia, Alex Aiken2018 · 280 citations
11. Learning to Optimize Tensor ProgramsarXiv:1805.08166Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.2019 · 269 citations
12. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training WorkloadsarXiv:1901.05758Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, et al.2019 · 179 citations
13. PipeDream: Fast and Efficient Pipeline Parallel DNN TrainingarXiv:1806.03377Aaron Harlap, Deepak Narayanan, Amar Phanishayee, et al.2018 · 162 citations
14. Online normalizer calculation for softmaxarXiv 2018 (NVIDIA)Maxim Milakov, Natalia Gimelshein2018 · 123 citations
15. vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignMICRO 2016Minsoo Rhu, Natalia Gimelshein, Jason Clemons, et al.2016 · 81 citations
16. Exploring Different Dimensions of Attention for Uncertainty DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Heike Adel, Hinrich Schütze2017 · 63 citations
17. Mispronunciation Detection in Non-native (L2) English with Uncertainty ModelingIEEE International Conference on Acoustics Speech and Signal ProcessingDaniel Korzekwa, Jaime Lorenzo-Trueba, Szymon Zaporowski, et al.2021 · 27 citations
18. Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and AttentionInterspeechDaniel Korzekwa, Roberto Barra-Chicote, Szymon Zaporowski, et al.2020 · 16 citations
19. Weakly-supervised word-level pronunciation error detection in non-native English speechInterspeechDaniel Korzekwa, Jaime Lorenzo-Trueba, Thomas Drugman, et al.2021 · 15 citations
20. Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?Findings of the Association for Computational LinguisticsZhiting Mei, Christina Zhang, Tenny Yin, et al.2026 · 14 citations
21. What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific PresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Dongqi Liu, Chenxi Whitehouse, Xi Yu, et al.2025 · 13 citations
22. Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMsFindings of the Association for Computational LinguisticsGuangtao Lyu, Qi Liu, Chenghao Xu, et al.2026 · 5 citations
23. Uncertainty Distillation: Teaching Language Models to Express Semantic ConfidencearXiv:2503.14749Sophia Hager; David Mueller; Kevin Duh;, Nicholas Andrews2025 · 5 citations
24. Can Large Language Models Infer Causal Relationships from Real-World Text?Annual Meeting of the Association for Computational Linguistics (ACL)Ryan Saklad, Aman Chadha, Oleg V. Pavlov, et al.2026 · 2 citations
25. Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chi Zhang, Wenxuan Ding, Jiale Liu, et al.2026 · 2 citations
26. SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWeijiang Lv, Yaoxuan Feng, Xiaobo Xia, et al.2026 · 1 citation
27. Visually-Guided Policy Optimization for Multimodal ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Zengbin Wang, Feng Xiong, Liang Lin, et al.2026 · 1 citation
28. Automated detection of pronunciation errors in non-native English speech employing deep learningarXiv:2209.06265Daniel Korzekwa2022 · 1 citation
29. Deep-Reporter: Deep Research for Grounded Multimodal Long-Form GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Fangda Ye, Kuicai Dong, Xie Zhifei, et al.2026
30. GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunzhe Wang, Runhui Xu, Kexin Zheng, et al.2026
31. Journey Before Destination: On the importance of Visual Faithfulness in Slow ThinkingConference of the European Chapter of the Association for Computational Linguistics (EACL)Rheeya Uppaal, Phu Mon Htut, Min Bai, et al.2026
32. Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.2026
33. Mitigating Hallucinations in Large Vision-Language Models without Performance DegradationAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Zhu, Junfeng Fang, Shuo Wang, et al.2026
34. Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination MitigationFindings of the Association for Computational LinguisticsYebo Wu, Han Jin, Zhijiang Guo, et al.2026
35. Taming Object Hallucinations with Verified Atomic Confidence EstimationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiarui Liu, Weihao Xuan, Zhijing Jin, et al.2026
36. When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and NoiseWorkshop on Advances in Language and Vision Research (ALVR)Philip Wootaek Shin, Ajay Narayanan Sridhar, Lakshmi Sivani Devarapalli, et al.2026

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