No confident code implementation found for this paper. 1 possible match can be shown below.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
3D-LLM: Injecting the 3D World into Large Language Models
Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
FouriDown: Factoring Down-Sampling into Shuffling and Superposing
OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to-End 3D Trackers
CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing
@article{khattab2026dspy,
title = {DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines},
author = {O. Khattab and Arnav Singhvi and Paridhi Maheshwari and Zhiyuan Zhang and Keshav Santhanam and Sri Vardhamanan and Saiful Haq and Ashutosh Sharma and Thomas T. Joshi and Hanna Moazam and Heather Miller and Matei Zaharia and Christopher Potts},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:03e7393acbd56c7543652dd00fada7f766663fdf},
journal = {ICLR 2024 2024}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/03e7393acbd56c7543652dd00fada7f766663fdf)