most citedCrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

11 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG202311 cited

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad +8

Code completion models have made significant progress in recent years, yet current popular evaluation datasets, such as HumanEval and MBPP, predominantly focus on code completion t…

eess.IV20231 cited

SonoSAMTrack -- Segment and Track Anything on Ultrasound Images

Hariharan Ravishankar, Rohan Patil, Vikram Melapudi +5

In this paper, we present SonoSAMTrack - that combines a promptable foundational model for segmenting objects of interest on ultrasound images called SonoSAM, with a state-of-the a…

cs.CV20238 cited

One-shot Localization and Segmentation of Medical Images with Foundation Models

Deepa Anand, Gurunath Reddy M, Vanika Singhal +10

Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used for image corresponde…

cs.CL2023

A Static Evaluation of Code Completion by Large Language Models

Hantian Ding, Varun Kumar, Yuchen Tian +9

Large language models trained on code have shown great potential to increase productivity of software developers. Several execution-based benchmarks have been proposed to evaluate…

cs.LG20231 cited

Greener yet Powerful: Taming Large Code Generation Models with Quantization

Xiaokai Wei, Sujan Gonugondla, Wasi Ahmad +13

ML-powered code generation aims to assist developers to write code in a more productive manner, by intelligently generating code blocks based on natural language prompts. Recently,…