Swaroop Mishra
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 20 papers; trusts 572 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 567 citations into it; #5,183 of 35,345 by trust here, #1,429 by citations
- Natural Language Processing — 367 citations into it; #1,596 of 5,688 by trust here, #737 by citations
- Computer Vision and Pattern Recognition — 230 citations into it; #6,429 of 21,575 by trust here, #3,459 by citations
- Prompting & Reasoning — 170 citations into it; #107 of 359 by trust here, #97 by citations
- Evaluation & Benchmarks — 162 citations into it
- Large Language Models — 145 citations into it; #792 of 799 by trust here, #162 by citations
- Information Systems — 63 citations into it
- Question Answering & Reading Comprehension — 20 citations into it
Whom Swaroop Mishra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel Khashabi
- Geoffrey E. Hinton
- Chin-Yew Lin
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Richard Socher
Who trusts Swaroop Mishra overall
- Mihir Parmar
- Tuhin Chakrabarty
- Chitta Baral
- Pan Lu
- Ravsehaj Singh Puri
- Or Honovich
- Pruthvi H. Patel
- Daniel Khashabi
- Sewon Min
- Boshi Wang
Papers from Swaroop Mishra's perspective
Ordered by how strongly the researchers Swaroop Mishra 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- 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
- Cross-Task Generalization via Natural Language Crowdsourcing Instructions (2021) — 909 citations
- Self-Instruct: Aligning Language Models with Self-Generated Instructions (2022) — 3,444 citations
- Reframing Instructional Prompts to GPTk’s Language (2021) — 277 citations
- Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks (2022) — 1,112 citations
- Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering (2022) — 2,503 citations
- LILA: A Unified Benchmark for Mathematical Reasoning (2022) — 171 citations
- How Additional Knowledge can Improve Natural Language Commonsense Question Answering (2019) — 32 citations
- Instruction-Following Evaluation for Large Language Models (2023) — 995 citations
- HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models (2022) — 33 citations
- NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks (2022) — 152 citations
- Large Language Models Cannot Self-Correct Reasoning Yet (2023) — 1,041 citations
- How Many Data Samples is an Additional Instruction Worth? (2022) — 21 citations
- Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings (2022) — 68 citations
- BioTABQA: Instruction Learning for Biomedical Table Question Answering (2022) — 19 citations
- Is a Question Decomposition Unit All We Need? (2022) — 65 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks (2022) — 156 citations
- In-BoXBART: Get Instructions into Biomedical Multi-Task Learning (2022) — 23 citations
- Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions (2021) — 54 citations
- Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks (2020) — 14 citations