Mingyuan Tao

Artificial Intelligence · 2024

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 — 25 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Mingyuan Tao trusts

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

1. Chin-Yew Lin (in Natural Language Processing)
2. Mark John Francis Gales (in Artificial Intelligence)

Papers from Mingyuan Tao's perspective

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

1. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
2. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
3. SQuAD: 100,000+ Questions for Machine Comprehension of Text
4. ROUGE: A Package for Automatic Evaluation of Summaries
5. LLaMA: Open and Efficient Foundation Language Models (arXiv.org)
6. OPT: Open Pre-trained Transformer Language Models
7. A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
8. Natural Questions: A Benchmark for Question Answering Research
9. Survey of Hallucination in Natural Language Generation
10. CoQA: A Conversational Question Answering Challenge

Their papers

• INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection (2024) — 331 citations