Rajarishi Sinha

Artificial Intelligence · 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.

Subfields

Whom Rajarishi Sinha trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Dzmitry Bahdanau (in Artificial Intelligence)

Papers from Rajarishi Sinha's perspective

Ordered by how strongly the researchers Rajarishi Sinha trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  3. Finetuned Language Models Are Zero-Shot Learners
  4. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  5. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  6. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
  7. Evaluating Large Language Models Trained on Code (arXiv.org)
  8. Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
  9. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
  10. Self-Consistency Improves Chain of Thought Reasoning in Language Models

Their papers