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Found 6 papers, 3 papers with code
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework
Our 13B model (ChipGPT-FT) has a pass rate improvement compared with GPT-3. 5 in Verilog generation and outperforms in EDA script (i. e., SiliconCompiler) generation with only 200 EDA script data.
Inference for an Algorithmic Fairness-Accuracy Frontier
In this paper, we provide a consistent estimator for a theoretical fairness-accuracy frontier put forward by Liang, Lu and Mu (2023) and propose inference methods to test hypotheses that have received much attention in the fairness literature, such as (i) whether fully excluding a covariate from use in training the algorithm is optimal and (ii) whether there are less discriminatory alternatives to an existing algorithm.
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
Automatic evaluation of generated textual content presents an ongoing challenge within the field of NLP.
G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations
Based on this unified GPU memory and storage architecture, G10 utilizes compiler techniques to characterize the tensor behaviors in deep learning workloads.
MARBLE: Music Audio Representation Benchmark for Universal Evaluation
This is evident in the limited work on deep music representations, the scarcity of large-scale datasets, and the absence of a universal and community-driven benchmark.
Using Forests in Multivariate Regression Discontinuity Designs
We discuss estimating conditional treatment effects in regression discontinuity designs with multiple scores.
