Xinyu Yang

Orcid: 0000-0001-8368-7773

Affiliations:
  • Carnegie Mellon University, PA, USA


According to our database1, Xinyu Yang authored at least 24 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2025
Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Navigating the Fog: How University Students Recalibrate Sensemaking Practices to Address Plausible Falsehoods in LLM Outputs.
Proceedings of the 7th ACM Conference on Conversational User Interfaces, 2025

2024
Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI.
Nat. Mac. Intell., 2024

FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving.
CoRR, 2024

VcLLM: Video Codecs are Secretly Tensor Codecs.
CoRR, 2024

It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF.
CoRR, 2024

Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity.
CoRR, 2024

TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding.
CoRR, 2024

What's documented in AI? Systematic Analysis of 32K AI Model Cards.
CoRR, 2024

Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face.
CoRR, 2024

Scientific Software Citation Intent Classification Using Large Language Models.
Proceedings of the Natural Scientific Language Processing and Research Knowledge Graphs, 2024

Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Domain Generalization with Domain Relations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations.
Trans. Mach. Learn. Res., 2023

Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.
CoRR, 2023

Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
CoRR, 2023

Leveraging Domain Relations for Domain Generalization.
CoRR, 2023

Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations.
Proceedings of the International Conference on Machine Learning, 2023

FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022


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