Xueguang Ma
Artificial Intelligence · 2021–2025
A researcher in the Science corpus: 11 papers; trusts 143 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 291 citations into it; #8,087 of 35,345 by trust here, #4,170 by citations
- Information Retrieval & Search — 112 citations into it; #214 of 1,022 by trust here, #245 by citations
- Large Language Models — 99 citations into it
- Computer Vision and Pattern Recognition — 92 citations into it; #13,201 of 21,575 by trust here, #10,154 by citations
- Natural Language Processing — 74 citations into it
- Evaluation & Benchmarks — 60 citations into it; #1,377 of 3,147 by trust here, #1,542 by citations
- Information Systems — 59 citations into it; #4,540 of 8,771 by trust here, #3,198 by citations
- Prompting & Reasoning — 46 citations into it; #223 of 359 by trust here, #210 by citations
Whom Xueguang Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jimmy J. Lin
- Geoffrey E. Hinton
- Peilin Yang
- Rodrigo Nogueira
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Vladimir Karpukhin
- Kyunghyun Cho
Who trusts Xueguang Ma overall
- Gautier Izacard
- Jimmy J. Lin
- Xilun Chen
- Sebastian Hofstätter
- Xinyu Crystina Zhang
- Ori Ram
- Parishad BehnamGhader
- Sheng-Chieh Lin
- Wayne Xin Zhao
- Hong-Liu Cao
Papers from Xueguang Ma's perspective
Ordered by how strongly the researchers Xueguang Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks (2022) — 1,410 citations
- Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations (2021) — 673 citations
- A Replication Study of Dense Passage Retriever (2021) — 74 citations
- TheoremQA: A Theorem-driven Question Answering dataset (2023) — 250 citations
- Fine-Tuning LLaMA for Multi-Stage Text Retrieval (2023) — 431 citations
- A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques (2021) — 188 citations
- Precise Zero-Shot Dense Retrieval without Relevance Labels (2022) — 788 citations
- DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers (2025)
- MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark (2024) — 1,918 citations
- Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval (2021) — 173 citations
- Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations (2021) — 105 citations