Nicolás E. Díaz Ferreyra

2023

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

Whom Nicolás E. Díaz Ferreyra trusts overall

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

1. M. McHugh

Papers from Nicolás E. Díaz Ferreyra's perspective

Ordered by how strongly the researchers Nicolás E. Díaz Ferreyra trusts endorse each paper. Same corpus, a different order for every researcher.

1. Program Synthesis with Large Language Models
2. Evaluating Large Language Models Trained on Code (arXiv.org)
3. Interrater reliability: the kappa statistic
4. Attention is All you Need (Neural Information Processing Systems)
5. Language Models are Unsupervised Multitask Learners
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Improving Language Understanding by Generative Pre-Training
8. CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
10. GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow

Their papers

• LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations (2023) — 118 citations