Cover Image

A Small-Scale System for Autoregressive Program Synthesis Enabling Controlled Experimentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Webb, Russ, Ramapuram, Jason
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distillation Scaling Laws
by: Busbridge, Dan, et al.
Published: (2025)

Scaling Properties of Continuous Diffusion Spoken Language Models
by: Ramapuram, Jason, et al.
Published: (2026)

Poly-View Contrastive Learning
by: Shidani, Amitis, et al.
Published: (2024)

Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training
by: Krajewski, Jakub, et al.
Published: (2025)

Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration
by: Mlodozeniec, Bruno, et al.
Published: (2025)

ControlVAR: Exploring Controllable Visual Autoregressive Modeling
by: Li, Xiang, et al.
Published: (2024)

GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development
by: Shen, Leming, et al.
Published: (2025)

Enabling Autoregressive Models to Fill In Masked Tokens
by: Israel, Daniel, et al.
Published: (2025)

The AnIML Ontology: Enabling Semantic Interoperability for Large-Scale Experimental Data in Interconnected Scientific Labs
by: Morlidge, Wilf, et al.
Published: (2026)

Balancing Sustainability And Performance: The Role Of Small-Scale LLMs In Agentic Artificial Intelligence Systems
by: Ho, Anh Khoa Ngo, et al.
Published: (2026)

NARRepair: Non-Autoregressive Code Generation Model for Automatic Program Repair
by: Yang, Zhenyu, et al.
Published: (2024)

Scaling Agent Learning via Experience Synthesis
by: Chen, Zhaorun, et al.
Published: (2025)

Decoding Order Matters in Autoregressive Speech Synthesis
by: Zhao, Minghui, et al.
Published: (2026)

MAGI-1: Autoregressive Video Generation at Scale
by: ai, Sand., et al.
Published: (2025)

M-STAR: Multi-Scale Spatiotemporal Autoregression for Human Mobility Modeling
by: Luo, Yuxiao, et al.
Published: (2025)

Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment
by: Wen, Chao, et al.
Published: (2024)

Unifying Speech Recognition, Synthesis and Conversion with Autoregressive Transformers
by: Cai, Runyuan, et al.
Published: (2026)

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis
by: Ni, Zanlin, et al.
Published: (2024)

A Divide-Align-Conquer Strategy for Program Synthesis
by: Witt, Jonas, et al.
Published: (2023)

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems
by: Wu, Shanglin, et al.
Published: (2026)

Diffusion On Syntax Trees For Program Synthesis
by: Kapur, Shreyas, et al.
Published: (2024)

Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts
by: Lee, Jihoon, et al.
Published: (2025)

QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks
by: Hu, Yaojie, et al.
Published: (2025)

EARTalking: End-to-end GPT-style Autoregressive Talking Head Synthesis with Frame-wise Control
by: Weng, Yuzhe, et al.
Published: (2026)

Agents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science
by: Zhang, Yingjie, et al.
Published: (2026)

Autoregressive Direct Preference Optimization
by: Oi, Masanari, et al.
Published: (2026)

Accelerating Autoregressive Speech Synthesis Inference With Speech Speculative Decoding
by: Lin, Zijian, et al.
Published: (2025)

AlgoPilot: Fully Autonomous Program Synthesis Without Human-Written Programs
by: Yin, Xiaoxin
Published: (2025)

BitDance: Scaling Autoregressive Generative Models with Binary Tokens
by: Ai, Yuang, et al.
Published: (2026)

MarDini: Masked Autoregressive Diffusion for Video Generation at Scale
by: Liu, Haozhe, et al.
Published: (2024)

TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation
by: Chen, Yinda, et al.
Published: (2024)

Efficient Autoregressive Audio Modeling via Next-Scale Prediction
by: Qiu, Kai, et al.
Published: (2024)

Progress by Pieces: Test-Time Scaling for Autoregressive Image Generation
by: Park, Joonhyung, et al.
Published: (2025)

Modelling Program Spaces in Program Synthesis with Constraints
by: Hinnerichs, Tilman, et al.
Published: (2025)

Intentional Deception as Controllable Capability in LLM Agents
by: Starace, Jason, et al.
Published: (2026)

Reasoning with Autoregressive-Diffusion Collaborative Thoughts
by: Yuan, Mu, et al.
Published: (2026)

Hidden Biases in Conditioning Autoregressive Models
by: Pachet, Francois, et al.
Published: (2026)

Autoregressive Models for Knowledge Graph Generation
by: Thanapalasingam, Thiviyan, et al.
Published: (2026)

A Framework for the Assurance of AI-Enabled Systems
by: Kapusta, Ariel S., et al.
Published: (2025)

Autonomous Driving Small-Scale Cars: A Survey of Recent Development
by: Li, Dianzhao, et al.
Published: (2024)