Grandee Lee
Artificial Intelligence · with Zhang · 2021
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it
- Natural Language Processing — 27 citations into it
Whom Grandee Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Grandee Lee overall
Papers from Grandee Lee's perspective
Ordered by how strongly the researchers Grandee Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Language Models are Unsupervised Multitask Learners
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
- ROUGE: A Package for Automatic Evaluation of Summaries
- A Diversity-Promoting Objective Function for Neural Conversation Models
- The Graph Neural Network Model
- DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
- Graph Attention Networks (International Conference on Learning Representations)
Their papers
- DynaEval: Unifying Turn and Dialogue Level Evaluation (2021) — 81 citations
- D-Score: Holistic Dialogue Evaluation Without Reference (2021) — 27 citations