3 papers
cs.CL2026
Composing Policy Gradients and Prompt Optimization for Language Model Programs
Noah Ziems, Dilara Soylu, Lakshya A Agrawal +10
Group Relative Policy Optimization (GRPO) has proven to be an effective tool for post-training language models (LMs). However, AI systems are increasingly expressed as modular prog…
cs.CV2025
GRAID: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data Generation
Karim Elmaaroufi, Liheng Lai, Justin Svegliato +3
Vision Language Models (VLMs) achieve strong performance on many vision-language tasks but often struggle with spatial reasoning$\unicode{x2014}$a prerequisite for many application…
cs.CL2025
LangProBe: a Language Programs Benchmark
Shangyin Tan, Lakshya A Agrawal, Arnav Singhvi +6
Composing language models (LMs) into multi-step language programs and automatically optimizing their modular prompts is now a mainstream paradigm for building AI systems, but the t…