Code Generation
31 papers
Papers per year
1
1
1
3
7
13
5
'20
'25
Papers
From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning
ACL 2026
Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection
CVPR 2026
SeDev: Structured Semantic Exploration for LLM-Driven Code Generation
ACL 2026
SemEval-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application Scenarios
SemEval 2026
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling
ACL 2026
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
ICLR 2025
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
AAAI 2025
CrossPyEval: Enhancing LLM-based Evaluation of Low-Resource Code via Code Translation
ACML 2025
Extracting the Essence and Discarding the Dross: Enhancing Code Generation with Contrastive Execution Feedback
COLING 2025
IUST_Champs at SemEval-2025 Task 8: Structured Prompting and Retry Policy for Tabular Question Answering
SemEval 2025
Planning-Driven Programming: A Large Language Model Programming Workflow
ACL 2025
RePanda: Pandas-powered Tabular Verification and Reasoning
ACL 2025
Revisit Self-Debugging with Self-Generated Tests for Code Generation
ACL 2025
Saama Technologies at SemEval-2025 Task 8: Few-shot prompting with LLM-generated examples for question answering on tabular data
SemEval 2025
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
ACL 2025
Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA
SemEval 2025
TreeSearch at SemEval-2025 Task 8: Monte Carlo Tree Search for Question-Answering over Tabular Data
SemEval 2025
VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
EMNLP 2025
Adapting LLMs for Structured Natural Language API Integration
EMNLP 2024
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs
COLING 2024
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
ICLR 2024
LLM4Decompile: Decompiling Binary Code with Large Language Models
EMNLP 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries
ACL 2024
One-to-many testing for code generation from (just) natural language
EMNLP 2024
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning
NeurIPS 2024