Notice: 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. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Credit Attribution and Stable Compression
Authors: Roi Livni, Shay Moran, Kobbi Nissim, Chirag Pabbaraju
NeurIPS 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The paper does not include experiments. |
| Researcher Affiliation | Collaboration | Tel Aviv University. EMAIL. Technion and Google Research. EMAIL. Georgetown University and Google Research. EMAIL. Stanford University. EMAIL. |
| Pseudocode | Yes | Definition 7 (Randomized response). Let RR : {0, 1}π [π]πbe the randomized response selection mechanism defined as follows. Given π₯ {0, 1}π, RR flips each bit of π₯independently with probability 1 1+πΞ΅ to obtain π₯. Let π= {π [π] : π₯π= 1} and π = [π] π. Further, let |π| = π‘. If π‘ π, then RR outputs a uniformly random subset of πindices from π, ordered arbitrarily. Otherwise, it arbitrarily orders π, and outputs π π, where πis a uniformly random subset of π π‘indices chosen from π (and ordered arbitrarily), and denotes concatenation. |
| Open Source Code | No | The paper states in its NeurIPS checklist that it 'does not include experiments requiring code', implying no open-source code for the described methodology is provided. |
| Open Datasets | No | The paper is theoretical and does not report on experiments that would use a training dataset. |
| Dataset Splits | No | The paper is theoretical and does not report on experiments that would use a validation dataset. |
| Hardware Specification | No | The paper is theoretical and does not report on experiments, thus no hardware specifications are provided. |
| Software Dependencies | No | The paper is theoretical and does not report on experiments, thus no specific software dependencies with version numbers are listed. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup or hyperparameters for empirical evaluation. |