Prakhar Gupta
Artificial Intelligence · 2010–2025
A researcher in the Science corpus: 10 papers; trusts 239 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 284 citations into it; #6,560 of 35,345 by trust here, #4,336 by citations
- Natural Language Processing — 241 citations into it; #1,454 of 5,688 by trust here, #1,083 by citations
- Computer Vision and Pattern Recognition — 62 citations into it
- Large Language Models — 62 citations into it
- Evaluation & Benchmarks — 53 citations into it
- Safety, Robustness & Interpretability — 40 citations into it
- Representation & Self-Supervised Learning — 31 citations into it; #912 of 3,145 by trust here, #1,103 by citations
- Information Systems — 21 citations into it
Whom Prakhar Gupta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Tomas Mikolov
- Ilya Sutskever
- Alex Krizhevsky
- Jason Aaron Edward Weston
- Yann LeCun
- Kaiming He
- Richard Socher
Who trusts Prakhar Gupta overall
- Hannah Rashkin
- John Wieting
- Swaroop Mishra
- David M. Beskow
- Pedro Ortiz Suarez
- Nikunj Saunshi
- Zixuan Ke
- Ziqi Wang
- Sanjeev Arora
- Dhivya Chandrasekaran
Papers from Prakhar Gupta's perspective
Ordered by how strongly the researchers Prakhar Gupta 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
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Self-Refine: Iterative Refinement with Self-Feedback (2023) — 4,061 citations
- Learning Word Vectors for 157 Languages (2018) — 1,599 citations
- Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features (2017) — 737 citations
- Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning (2022) — 57 citations
- DialFact: A Benchmark for Fact-Checking in Dialogue (2021) — 83 citations
- InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning (2022) — 58 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Using In-Context Learning to Improve Dialogue Safety (2023) — 60 citations
- DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines (2022) — 6 citations
- Effect of Li doping in NiO thin films on its transparent and conducting properties and its application in heteroepitaxial p-n junctions (2010) — 155 citations