Chen Lin

Natural Language Processing · with Gong · 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

Whom Chen Lin trusts

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

  1. Dan Jurafsky (in Natural Language Processing)
  2. James H. Martin (in Natural Language Processing)

Papers from Chen Lin's perspective

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

  1. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  2. Semantic Parsing on Freebase from Question-Answer Pairs
  3. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
  4. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (Neural Information Processing Systems)
  5. Freebase: a collaboratively created graph database for structuring human knowledge
  6. The Web as a Knowledge-Base for Answering Complex Questions
  7. CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
  8. LaMDA: Language Models for Dialog Applications
  9. Wikidata
  10. KILT: a Benchmark for Knowledge Intensive Language Tasks

Their papers