Research Papers

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Can AI Diagnose Eye Diseases in Any Language?

David Restrepo|Chenwei Wu|Zhengxu Tang|Zitao Shuai|Thao Nguyen Minh Phan|Jun-En Ding|Cong-Tinh Dao|Jack Gallifant|Robyn Gayle Dychiao|Jose Carlo Artiaga|André Hiroshi Bando|Carolina Pelegrini Barbosa Gracitelli|Vincenz Ferrer|Leo Anthony Celi|Danielle Bitterman|Michael G Morley|Luis Filipe Nakayama

Reinforcement Learning Improves Unit Test Generation

Benjamin Steenhoek|Michele Tufano|Neel Sundaresan|Alexey Svyatkovskiy

Unlocking LLM Secrets: How Prompting Makes AI Smarter

Vijay Goyal|Mustafa Khan|Aprameya Tirupati|Harveer Saini|Michael Lam|Kevin Zhu

Better LLMs Through Inference-Aware Training

Yinlam Chow|Guy Tennenholtz|Izzeddin Gur|Vincent Zhuang|Bo Dai|Sridhar Thiagarajan|Craig Boutilier|Rishabh Agarwal|Aviral Kumar|Aleksandra Faust

Unlocking LLM Potential: Supercharging AI at Inference Time

Xiangjue Dong|Maria Teleki|James Caverlee

Shrinking LLMs: 4-Bit Quantization Without Sacrificing Accuracy

Utkarsh Saxena|Sayeh Sharify|Kaushik Roy|Xin Wang

Slimming Down Giant AI: Fine-Tuning and Pruning LLMs

Lei Lu|Zhepeng Wang|Runxue Bao|Mengbing Wang|Fangyi Li|Yawen Wu|Weiwen Jiang|Jie Xu|Yanzhi Wang|Shangqian Gao

Perfecting the Prompt: Crafting Better Recommendations with LLMs

Genki Kusano|Kosuke Akimoto|Kunihiro Takeoka

Frenzy: Serverless LLMs on Heterogeneous GPUs

Zihan Chang|Sheng Xiao|Shuibing He|Siling Yang|Zhe Pan|Dong Li

The first platform built for prompt engineering