Bernd Bohnet

Artificial Intelligence · arXiv.org · 2023–2025

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bernd Bohnet trusts

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

  1. Tushar Khot (in Artificial Intelligence)
  2. Ashish Sabharwal (in Artificial Intelligence)
  3. Harsh Trivedi (in Artificial Intelligence)

Papers from Bernd Bohnet's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Neural Information Processing Systems)
  5. Training Verifiers to Solve Math Word Problems
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Self-Consistency Improves Chain of Thought Reasoning in Language Models
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Their papers