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From Output to Evaluation: Does Raw Instruction-Tuned Code LLMs Output Suffice for Fill-in-the-Middle Code Generation?

From Output to Evaluation: Does Raw Instruction-Tuned Code LLMs Output Suffice for Fill-in-the-Middle Code Generation?

24 May 2025
Wasi Uddin Ahmad
Somshubra Majumdar
Boris Ginsburg
ArXivPDFHTML

Papers citing "From Output to Evaluation: Does Raw Instruction-Tuned Code LLMs Output Suffice for Fill-in-the-Middle Code Generation?"

6 / 6 papers shown
Title
Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for
  Code Generation with Lookahead Planning
Horizon-Length Prediction: Advancing Fill-in-the-Middle Capabilities for Code Generation with Lookahead Planning
Yifeng Ding
Hantian Ding
Shiqi Wang
Qing Sun
Varun Kumar
Zijian Wang
45
4
0
04 Oct 2024
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
Linyuan Gong
Sida Wang
Mostafa Elhoushi
Alvin Cheung
68
16
0
07 Mar 2024
Meet in the Middle: A New Pre-training Paradigm
Meet in the Middle: A New Pre-training Paradigm
A. Nguyen
Nikos Karampatziakis
Weizhu Chen
35
21
0
13 Mar 2023
Efficient Training of Language Models to Fill in the Middle
Efficient Training of Language Models to Fill in the Middle
Mohammad Bavarian
Heewoo Jun
Nikolas Tezak
John Schulman
C. McLeavey
Jerry Tworek
Mark Chen
26
192
0
28 Jul 2022
InCoder: A Generative Model for Code Infilling and Synthesis
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried
Armen Aghajanyan
Jessy Lin
Sida I. Wang
Eric Wallace
Freda Shi
Ruiqi Zhong
Wen-tau Yih
Luke Zettlemoyer
M. Lewis
SyDa
53
633
0
12 Apr 2022
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
857
149,474
0
22 Dec 2014
1