Tomasz Korbak

Artificial Intelligence · with Balesni · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Large Language Models — 12 citations into it
• Natural Language Processing — 7 citations into it

Whom Tomasz Korbak trusts

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

1. Sosuke Kobayashi (in Artificial Intelligence)
2. Michael R Douglas (in Artificial Intelligence)

Papers from Tomasz Korbak's perspective

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

1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
2. Language Models as Knowledge Bases?
3. Improving Neural Machine Translation Models with Monolingual Data
4. The Power of Scale for Parameter-Efficient Prompt Tuning
5. TruthfulQA: Measuring How Models Mimic Human Falsehoods
6. LLaMA: Open and Efficient Foundation Language Models (arXiv.org)
7. Attention is All you Need (Neural Information Processing Systems)
8. Measuring and Narrowing the Compositionality Gap in Language Models
9. Fast Model Editing at Scale
10. Editing Factual Knowledge in Language Models

Their papers

• The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A" (2023) — 511 citations