Huan Sun
Artificial Intelligence · 2013–2024
A researcher in the Science corpus: 19 papers; trusts 842 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 572 citations into it; #21,083 of 35,345 by trust here, #3,229 by citations
- Computer Vision and Pattern Recognition — 300 citations into it
- Natural Language Processing — 218 citations into it
- Large Language Models — 174 citations into it
- Multimodal Learning — 101 citations into it
- Evaluation & Benchmarks — 95 citations into it
- Information Systems — 84 citations into it; #7,539 of 8,771 by trust here, #3,402 by citations
- Prompting & Reasoning — 74 citations into it
Whom Huan Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Alex Graves
- Ronald J. Williams
- Jimmy Ba
Who trusts Huan Sun overall
Papers from Huan Sun's perspective
Ordered by how strongly the researchers Huan Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI (2023) — 2,391 citations
- Open Domain Question Answering via Semantic Enrichment (2015) — 116 citations
- Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study (2019) — 87 citations
- Shepherd Pre-trained Language Models to Develop a Train of Thought: An Iterative Prompting Approach (2022) — 9 citations
- Iteratively Prompt Pre-trained Language Models for Chain of Thought (2022) — 134 citations
- MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing (2023) — 689 citations
- Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters (2022) — 397 citations
- MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning (2023) — 596 citations
- StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow (2018) — 113 citations
- Mind2Web: Towards a Generalist Agent for the Web (2023) — 1,276 citations
- AgentBench: Evaluating LLMs as Agents (2023) — 1,063 citations
- CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning (2019) — 109 citations
- Graph embedding on biomedical networks: methods, applications and evaluations (2019) — 370 citations
- MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark (2024) — 489 citations
- Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents (2024) — 374 citations
- GPT-4V(ision) is a Generalist Web Agent, if Grounded (2024) — 582 citations
- ReasonBERT: Pre-trained to Reason with Distant Supervision (2021) — 35 citations
- Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering (2019) — 31 citations
- Synthetic review spamming and defense (2013) — 88 citations