code generation

699 papers

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Also known as

NL2CODE CG

Co-occurring keywords

large language model (12755) benchmark evaluation (1539) program synthesis (231) language model (4573) question answering (2904) semantic parsing (955) in-context learning (1369) multi-agent system (1743) tabular datum (221) retrieval-augmented generation (1459)

Papers

DFAgent: From Natural Language Data Interactions to Reusable Agent-Ready Tools AAAI 2026

Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study AAAI 2026

ExPairT-LLM: Exact Learning for LLM Code Selection by Pairwise Queries AAAI 2026

DSCodeBench: A Realistic Benchmark for Data Science Code Generation AAAI 2026

ARBench: Algorithmic Reasoner or API Alchemist? Evaluating LLMs Beyond API Calls AAAI 2026

AICD Bench: A Challenging Benchmark for AI-Generated Code Detection EACL 2026

CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization EACL 2026

I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree Search EACL 2026

CodeGuard: Improving LLM Guardrails in CS Education EACL 2026

NL2Logic: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models EACL 2026

MapCoder-Lite: Distilling Multi-Agent Coding into a Single Small LLM EACL 2026

Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization EACL 2026

Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage AAAI 2026

HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors AAAI 2026

SAPO: Self-Adaptive Process Optimization Makes Small Reasoners Stronger AAAI 2026

DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation AAAI 2026

Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games IJCAI 2025

How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract) IJCAI 2025

PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction EMNLP 2025

Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models IJCAI 2025

SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation IJCAI 2025

Quality Assessment of Tabular Data using Large Language Models and Code Generation EMNLP 2025

More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation IJCNLP 2025

Guiding LLM-based Smart Contract Generation with Finite State Machine IJCAI 2025

Z1: Efficient Test-time Scaling with Code EMNLP 2025