Sriparna Saha
arXiv.org · with Chadha · 2024
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Sriparna Saha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sriparna Saha's perspective
Ordered by how strongly the researchers Sriparna Saha trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
- Self-Consistency Improves Chain of Thought Reasoning in Language Models
- Attention is All you Need (Neural Information Processing Systems)
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Neural Information Processing Systems)
- ReAct: Synergizing Reasoning and Acting in Language Models (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks