A collection of summaries of recent research papers + articles I have read and my understanding of them. These papers are mostly in the domain of Natural Language Processing. Click on the links for a short summary!
| Research Paper | Short Description |
|---|---|
| NaturalProver | Revolves around improving mathematical proof generation as well next step generation for proofs |
| CORA | Focuses on improving QA models to utilize documents from multiple languages when generating answers in order to increase inclusivety and make otherwise unanswerable questions due to lack of data answerable |
| Commonsense Generation | Looks at using generated knowledge statements to improve accuracy of QA models |
| Delphi Experiment | Concentrates on determining whether a statement or question is ethical or not, try demo here |
| Red Teaming | Looks at incorporating red teaming efforts (purposefully producing harmful results to update models to prevent that from happening again) to reduce harmful and offensive responses by AI assistants |
| PURR | Explores editing hallucinations in large language model outputs through using a synthetic corrupted dataset |
| LoRA | Describes a method to make fine tuning more efficient by using lower ranks to update model weights rather than updating all parameters in models, especially useful when finetuning large models |
| RARR | Examines improving trushtworthiness of large language models through the process of revision |
| Unlearning | Looks at unlearning targetted information within large language models and their outputs. |