Xiangru Tang
Artificial Intelligence · 2020–2024
A researcher in the Science corpus: 13 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 457 citations into it
- Natural Language Processing — 258 citations into it
- Evaluation & Benchmarks — 139 citations into it
Whom Xiangru Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Alex Graves
- Richard Socher
Who trusts Xiangru Tang overall
Papers from Xiangru Tang's perspective
Ordered by how strongly the researchers Xiangru Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
Their papers
- PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts (2022) — 417 citations
- Crosslingual Generalization through Multitask Finetuning (2023) — 602 citations
- DART: Open-Domain Structured Data Record to Text Generation (2020) — 230 citations
- FeTaQA: Free-form Table Question Answering (2021) — 274 citations
- ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs (2023) — 1,907 citations
- Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries (2021) — 27 citations
- MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning (2023) — 457 citations
- StarCoder 2 and The Stack v2: The Next Generation (2024) — 698 citations
- OpenHands: An Open Platform for AI Software Developers as Generalist Agents (2024) — 820 citations
- RWKV: Reinventing RNNs for the Transformer Era (2023) — 1,130 citations
- Investigating Data Contamination in Modern Benchmarks for Large Language Models (2023)
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning (2021) — 72 citations