Harsh Trivedi
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 9 papers; trusts 217 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 190 citations into it; #13,922 of 35,345 by trust here, #6,330 by citations
- Natural Language Processing — 144 citations into it; #4,841 of 5,688 by trust here, #3,574 by citations
- Computer Vision and Pattern Recognition — 83 citations into it; #15,811 of 21,575 by trust here, #7,584 by citations
- Evaluation & Benchmarks — 58 citations into it
- Large Language Models — 36 citations into it
- Prompting & Reasoning — 25 citations into it; #124 of 359 by trust here, #179 by citations
- Information Retrieval & Search — 19 citations into it
- Question Answering & Reading Comprehension — 12 citations into it; #241 of 335 by trust here, #233 by citations
Whom Harsh Trivedi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Tushar Khot
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Richard Socher
- Jacob Devlin
Who trusts Harsh Trivedi overall
- Tushar Khot
- Alon Jacovi
- Yu Wang
- Ofir Press
- Vikas Yadav
- Clara Vania
- Ori Yoran
- Avi Caciularu
- Soyeong Jeong
- Richard Ngo
Papers from Harsh Trivedi's perspective
Ordered by how strongly the researchers Harsh Trivedi 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
- Decomposed Prompting: A Modular Approach for Solving Complex Tasks (2022) — 735 citations
- What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? (2021) — 38 citations
- Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions (2022) — 1,143 citations
- Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions (2022) — 17 citations
- Repurposing Entailment for Multi-Hop Question Answering Tasks (2019) — 50 citations
- ♫ MuSiQue: Multihop Questions via Single-hop Question Composition (2021) — 972 citations
- Controlling Information Aggregation for Complex Question Answering (2018) — 13 citations
- DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering (2020) — 71 citations
- Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions (2022) — 21 citations