SOTAVerified

Text-to-Code Generation

Text-to-Code Generation is a task where we can generate code based on the natural language description.

Source: Text-to-code Generation with TensorFlow, 🤗 & MBPP

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 20 papers

TitleStatusHype
SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks—0
Reranking Laws for Language Generation: A Communication-Theoretic Perspective—0
Can OpenSource beat ChatGPT? -- A Comparative Study of Large Language Models for Text-to-Code Generation—0
Generating Unseen Code Tests In Infinitum—0
Text-to-Code Generation with Modality-relative Pre-training—0
Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets—0
Code Execution with Pre-trained Language ModelsCode0
C3PO: A Lightweight Copying Mechanism for Translating Pseudocode to CodeCode0
PanGu-Coder: Program Synthesis with Function-Level Language ModelingCode0
Compilable Neural Code Generation with Compiler Feedback—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CodeT5BLEU41.48—Unverified
2CodeGPT-adaptedBLEU32.79—Unverified