Notice: This website is continuously updated as new conference proceedings and journal volumes are published. Consequently, the figures presented here may differ from those reported in our publications.
A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.
The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates.
Axioms for AI Alignment from Human Feedback
Authors: Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
NeurIPS 2024 | Venue PDF | LLM Run Details | Input Tokens: 28,558 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 4,506 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The answer NA means that the paper does not include experiments. |
| Researcher Affiliation | Academia | Luise Ge Washington University in St. Louis EMAIL Daniel Halpern Harvard University EMAIL Evi Micha Harvard University EMAIL Ariel D. Procaccia Harvard University EMAIL Itai Shapira Harvard University EMAIL Yevgeniy Vorobeychik Washington University in St. Louis EMAIL Junlin Wu Washington University in St. Louis EMAIL |
| Pseudocode | No | The paper describes mathematical proofs and theoretical concepts but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The answer NA means that paper does not include experiments requiring code. |
| Open Datasets | No | The answer NA means that the paper does not include experiments. |
| Dataset Splits | No | The answer NA means that the paper does not include experiments. |
| Hardware Specification | No | The answer NA means that the paper does not include experiments. |
| Software Dependencies | No | The answer NA means that the paper does not include experiments. |
| Experiment Setup | No | The answer NA means that the paper does not include experiments. |