Search Results for author:
Found 5 papers, 0 papers with code
Improving Abstractive Dialogue Summarization with Hierarchical Pretraining and Topic Segment
With the increasing abundance of meeting transcripts, meeting summary has attracted more and more attention from researchers.
Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension
Our experimental results reveal that following this pretraining, both Code Llama and StarCoder, the prevalent code domain pretraining models, display significant improvements on our logically equivalent code selection task and the code completion task.
Rethinking the Instruction Quality: LIFT is What You Need
Instruction tuning, a specialized technique to enhance large language model (LLM) performance via instruction datasets, relies heavily on the quality of employed data.
SUT: Active Defects Probing for Transcompiler Models
In this paper we introduce a new metrics for programming language translation and these metrics address these basic syntax errors.
Program Translation via Code Distillation
Distilled code serves as a translation pivot for any programming language, leading by construction to parallel corpora which scale to all available source code by simply applying the distillation compiler.
