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 1–10 of 20 papers

TitleStatusHype
Magicoder: Empowering Code Generation with OSS-InstructCode4
Guiding Language Models of Code with Global Context using MonitorsCode2
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and GenerationCode1
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and GenerationCode1
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-InstructCode1
StructCoder: Structure-Aware Transformer for Code GenerationCode1
Planning-Driven Programming: A Large Language Model Programming WorkflowCode1
Can Large Language Models Solve Robot Routing?Code1
Bridging the Gap Between Open-Source and Proprietary LLMs in Table QACode0
PanGu-Coder: Program Synthesis with Function-Level Language ModelingCode0
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Benchmark Results

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