Can Language Models Solve Olympiad Programming?

1 code implementation • 16 Apr 2024 • Quan Shi, Michael Tang, Karthik Narasimhan, Shunyu Yao

In this paper, we introduce the USACO benchmark with 307 problems from the USA Computing Olympiad, along with high-quality unit tests, reference code, and official analyses for each problem.

Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning

1 code implementation • 19 Jun 2023 • Michael Tang, David Shustin

Can the latent spaces of modern generative neural rendering models serve as representations for 3D-aware discriminative visual understanding tasks?

Metric Learning Neural Rendering +1

Referral Augmentation for Zero-Shot Information Retrieval

1 code implementation • 24 May 2023 • Michael Tang, Shunyu Yao, John Yang, Karthik Narasimhan

We propose Referral-Augmented Retrieval (RAR), a simple technique that concatenates document indices with referrals, i. e. text from other documents that cite or link to the given document, to provide significant performance gains for zero-shot information retrieval.

Information Retrieval Retrieval