| A Survey on Large Language Models for Code Generation | Jun 1, 2024 | Code GenerationHumanEval | CodeCode Available | 2 |
| Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation | May 30, 2024 | Code GenerationHumanEval | —Unverified | 0 |
| SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths | May 30, 2024 | GSM8KHumanEval | —Unverified | 0 |
| Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code | May 29, 2024 | HumanEval | —Unverified | 0 |
| Kotlin ML Pack: Technical Report | May 29, 2024 | Code GenerationHumanEval | —Unverified | 0 |
| ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation | May 27, 2024 | Code GenerationHumanEval | CodeCode Available | 1 |
| EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization | May 24, 2024 | Code GenerationHumanEval | CodeCode Available | 1 |
| Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast | May 23, 2024 | Computational EfficiencyGSM8K | CodeCode Available | 1 |
| Instruction Tuning With Loss Over Instructions | May 23, 2024 | HumanEvalMMLU | CodeCode Available | 1 |
| Can Github issues be solved with Tree Of Thoughts? | May 20, 2024 | Code GenerationGitHub issue resolution | CodeCode Available | 0 |
