L. K. Shar

Artificial Intelligence · 2024

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

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom L. K. Shar trusts

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

1. Emma Strubell (in Artificial Intelligence)

Papers from L. K. Shar's perspective

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

1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
2. Energy and Policy Considerations for Deep Learning in NLP
3. On the Opportunities and Risks of Foundation Models
4. Holistic Evaluation of Language Models
5. Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
6. Ethical and social risks of harm from Language Models
7. Taxonomy of Risks posed by Language Models
8. Steven Bird, Ewan Klein and Edward Loper: Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit
9. Efficient Memory Management for Large Language Model Serving with PagedAttention
10. Green Algorithms: Quantifying the Carbon Footprint of Computation

Their papers

• The Price of Prompting: Profiling Energy Use in Large Language Models Inference (2024)