David Esiobu

According to our database1, David Esiobu authored at least 6 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2023
2024
0
1
2
3
4
3
2
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models.
CoRR, 2024

Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
CoRR, 2024

The Llama 3 Herd of Models.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
et al.
CoRR, 2024

2023
Llama 2: Open Foundation and Fine-Tuned Chat Models.
CoRR, 2023

A Theory on Adam Instability in Large-Scale Machine Learning.
CoRR, 2023

ROBBIE: Robust Bias Evaluation of Large Generative Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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