Amit Sharma

Artificial Intelligence · with Kıcıman · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Causal Inference & Discovery — 10 citations into it
• Philosophy — 5 citations into it

Whom Amit Sharma trusts overall

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

1. James F. Woodward
2. R. Shanmugam
3. Patrik O. Hoyer
4. Jan Peters

Papers from Amit Sharma's perspective

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

1. Causality : Models , Reasoning , and Inference
2. Nonlinear causal discovery with additive noise models
3. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
4. Elements of Causal Inference: Foundations and Learning Algorithms
5. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
6. A Linear Non-Gaussian Acyclic Model for Causal Discovery
7. On the Identifiability of the Post-Nonlinear Causal Model
8. Multitask Prompted Training Enables Zero-Shot Task Generalization
9. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Causal Reasoning and Large Language Models: Opening a New Frontier for Causality (2023) — 514 citations