LLM-Based Program Synthesis

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22 papers in the last four weeks, up 100% on the four weeks before. 0.2% of all new papers.

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Latest papers 223

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EvoSignal: LLM-Guided Evolutionary Design of Modular Traffic Signal Control Programs
Oct 7, 2026Leizhen Wang, Peibo Duan, Zhenlin Qin +5Traffic Signal Control Automated Heuristic Design
Monash University · KTH Royal Institute of Technology · Chinese Academy of Sciences +2
AGAR: a reinforcement learning substrate for LLM program evolution
Oct 6, 2026Haoran Li, Zengle Ge, Xiaomin Yuan +11LLM-Based Program Synthesis RL for Code Generation
University of the Chinese Academy of Sciences · Baidu · Tsinghua University +2
CACHEFORGE: LLM-Guided End-to-End Generative Cache Replacement Policy for Performance and Hardware Efficiency
Oct 6, 2026Kaushal Mhapsekar, Bita Aslrousta, Brijesh Kumar Bhayana +5Large Language Model-Guided Optimization LLM-Based Program Synthesis
Department of Electrical and Computer Engineering North Carolina State University, Raleigh, NC, USA
SimAuthor: Harnessing Foundation Models for Persistent Scientific Simulator Authoring
Oct 5, 2026Yishan Wang, Ran Piao, Mathias Funk +1LLM-Based Program Synthesis Scientific Code Generation
Eindhoven University of Technology
Have an LLM Write Your Anomaly Detector: Autonomous Discovery of Compact, Interpretable Detectors for Time Series
Oct 1, 2026David BerghausInterpretable Anomaly Detection LLM-Based Program Synthesis
Lamarr Institute Germany · Fraunhofer IAIS Germany
HakiCC: LLM-Driven Multi-Agent Design and Optimization of Concurrency Control Protocols
Oct 1, 2026Farzad Habibi, Juncheng Fang, Faisal NawabLarge Language Model-Guided Optimization LLM-Based Program Synthesis
University of California, Irvine
LabBook: Harnessing Experimental History for Efficient LLM-Driven Discovery
Sep 30, 2026Bo Yuan, Wenqian Ye, Zelin Zhao +4Automated Algorithm Discovery LLM-Based Program Synthesis
Georgia Institute of Technology · University of Virginia, Charlottesville
MatLoom: Layered Text-to-Material Generation in a Compact Program Space
Sep 30, 2026Anson Y. Lam, Shuqing Li, Michael R. Lyu3D Asset Generation LLM-Based Program Synthesis
Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong, China
Adaptive-GEPA: Make Your Harness Fit Heterogeneous Requests
Sep 30, 2026Tianyu Chen, Yasi Zhang, Ruiyi Wang +3Large Language Model-Guided Optimization LLM-Based Program Synthesis
University of Texas at Austin · University of California, Los Angeles · University of California, San Diego +3
Code to Control: Synthesizing Parameterized Reactive Controllers
Sep 30, 2026Zergham Ahmed, Joshua B. Tenenbaum, Chris Bates +1RL Control Language Model-Based Control
Harvard University · Massachusetts Institute of Technology · Florida Institute for Human and Machine Cognition
Component-Aware Feedback for Self-Evolving Programs
Sep 29, 2026Ethan Lin, Jinming Nian, Yi FangLarge Language Model-Guided Optimization LLM-Based Program Synthesis
Santa Clara University
Synthesis Without Training: An Inference-Only Pipeline for Tabular, Temporal, and Relational Synthetic Data
Sep 29, 2026Zilong Zhao, Abdul Raheem, Jiayu Li +5Constrained Generative Modeling Synthetic Data Generation
Betterdata AI · National University of Singapore · University of Illinois Urbana-Champaign +1
DatalogBench: Evaluating Large Language Models on Text-to-Datalog Synthesis
Sep 29, 2026Yuan Li, Hanyun Jiang, Guowei Tian +2LLM Evaluation LLM-Based Program Synthesis
The State Key Laboratory of Blockchain and Data Security, Zhejiang University · National University of Singapore
From Experience to Expertise: Adoption-Aware Memory Learning for Data-Scarce NPU Kernel Synthesis
Sep 28, 2026Longxiao Fan, Tao Zhang, Han Yan +5LLM-Based Program Synthesis Agent Skill Learning
Fudan University · University of Science and Technology of China · Huawei Technologies Ltd.
Semantic Prefix Oracles for LLM Decoding: Contracts and Differential Validation
Sep 28, 2026Paul Kronlund-DrouaultConstrained Decoding LLM-Based Program Synthesis
ENS de Lyon Lyon, France · Unsuspicious Industries Paris, France · Université de Lille Lille, France
ReMCTS: Reflection-Enhanced Monte Carlo Tree Search for Code Generation
Sep 28, 2026Huifei Wang, Xinying Huang, Yiheng Sun +1Execution-Guided Code Generation LLM-Based Program Synthesis
College of Computer Science and Software Engineering, Shenzhen University · School of Artificial Intelligence, Shenzhen University
LLMs for Executable Multi-Agent System Specification Generation
Sep 28, 2026Andreas Kouvaras, Periklis Mantenoglou, Alexander ArtikisLLM-Based Program Synthesis Multi-Agent Systems
University of Piraeus, Greece. · Örebro University, Sweden. · NCSR “Demokritos”, Greece.
RAISE: Reinforcing Access Control Policy Synthesis in LLMs via Symbolic Evaluation
Sep 27, 2026Yingming Zhou, Adarsh Vatsa, William EiersRL for Language Model Reasoning LLM-Based Program Synthesis
Stevens Institute of Technology
Coding Agents for Generalized Task and Motion Planning Problems
Sep 24, 2026Matteo Merler, Bowen Li, Josh Roy +4Coding Agents LLM-Based Program Synthesis
Fondazione Bruno Kessler · Carnegie Mellon University · Princeton University +1
Evolving Inspectable O-RAN Slicing xApps with LLMs
Sep 23, 2026Faezeh Dehghan Tarzjani, Bhaskar KrishnamachariLarge Language Model-Guided Optimization LLM-Based Program Synthesis
Department of Electrical and Computer Engineering, University of Southern California
Combining LLMs and Genetic Search for ARC-AGI-2
Sep 23, 2026Val DyachenkoLarge Language Model-Guided Optimization Genetic Programming
Online Automated Algorithm Design with Large Language Models
Sep 21, 2026Zhiyao Zhang, Yichen Li, Xingyu Wu +2Automated Algorithm Discovery Black-Box Optimization
Department of Data Science and Artificial Intelligence The Hong Kong Polytechnic University, Hong Kong SAR 999077, China · College of Computer Science, Chongqing University, Chongqing 400044, China
SyzHarness: Patch-Based Kernel Bug Reproduction with LLM-Synthesized Fuzzing Harnesses
Sep 20, 2026Xingyu Li, Juefei Pu, Haonan Li +4Software Vulnerability Detection LLM-Based Program Synthesis
University of California, Riverside
AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery
Sep 14, 2026Junhao Qiu, Qinglong Hu, Ji Cheng +3Automated Algorithm Discovery Automated Heuristic Design
Department of Computer Science, City University of Hong Kong · Huawei Noah’s Ark Lab · Institute of Advanced Intelligence and Computing, A*STAR
Local Edits, Global Ripples: Replay-Informed Policy Adaptation for Workflow Synthesis
Sep 14, 2026Manqing Mao, Hong Wang, Samson Koelle +8Agentic Workflows LLM-Based Program Synthesis
Amazon, Inc.
NDT Factory: Synthesizing Verified Network Digital Twins from Semantic Models via Multi-Agent LLM
Sep 14, 2026Sudipta Acharya, Petar Djukic, Burak KantarciMulti-Agent LLM Systems LLM-Based Program Synthesis
University of Ottawa, Ottawa, ON, Canada · Bell Labs Research, 600 March Road, Kanata, ON K2K 2E6, Canada
Compile by Training: Turning Natural-Language Specifications into Local Neural Functions
Sep 3, 2026Yuntian Deng, Pengyu Nie, Stuart ShieberLLM-Based Program Synthesis
University of Waterloo · Harvard University
SUN: Persistent Programs For Language-Grounded Control-to-Learning-to-Real Policies
Aug 31, 2026Weiqi Wang, Zhi Li, Yudong Lei +7Robot Policy Learning Long-Horizon Robotic Manipulation
University of California, Los Angeles · University of California, Santa Barbara · Amazon +1
LLM-based Hardware Development with Hierarchical IRs and End-to-End Multi-Agent Workflow
Aug 31, 2026Chenyang Yin, Agasthi Haputhanthri, Aditya Anirudh Jonnalagadda +7Electronic Design Automation LLM-Based Program Synthesis
National University of Singapore · Shandong University · Stanford University +1
Generating Workflow DAGs from Natural Language with Non-Reasoning LLMs
Aug 31, 2026Anand Iyer, Bhanu Khetharpal, Srinivas Upadhya +1LLM-Based Program Synthesis Structured Output Generation
Microsoft

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EvoSignal: LLM-Guided Evolutionary Design of Modular Traffic Signal Control Programs

Leizhen Wang, Peibo Duan, Zhenlin Qin, Yancheng Ling+4

Monash University · KTH Royal Institute of Technology · Chinese Academy of Sciences+2

Traffic Signal Control Automated Heuristic Design LLM-Based Program Synthesis Program Synthesis Evolutionary Optimization

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Effective traffic signal control (TSC) requires policies that respond to changing traffic demand and network conditions while meeting different control objectives. However, adapting existing strategies often involves repeated manual design and adjustment, making it difficult to systematically explore better control rules for a target network. Large language models (LLMs) can automate this process, but directly using them to select signal phases leaves decision rules embedded in black-box models and incurs recurring inference costs and latency. This paper formulates TSC as a modular program design problem and proposes EvoSignal, an LLM-guided evolutionary framework using traffic knowledge and performance feedback. The modular representation separates traffic feature extraction, local phase prioritization, and optional network-based priority adjustment. Starting from several established strategies, EvoSignal improves programs through feedback on congestion and signal operation, retaining strategies with different performance trade-offs. The resulting programs operate without online LLM inference. Simulation experiments across five scenarios on two real-world road networks show that the selected default EvoSignal program reduces waiting time by 16.8--49.2% relative to the lowest waiting time achieved by the 20 conventional, reinforcement learning-based, and LLM-based baselines in each scenario. A program prioritizing travel time and queue length outperforms all 20 baselines on all three metrics in the search scenario and remains among the top three on each metric when transferred unchanged to the other four scenarios. These findings support automated design of inspectable control programs that transfer across the evaluated road networks and traffic demands.Code is available at https://github.com/georgewanglz2019/EvoSignal.

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