most citedComputing in the Era of Large Generative Models: From Cloud-Native to AI-Native

6 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2025★ 1 cited

AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following

Yun He, Wenzhe Li, Hejia Zhang +22

Recent progress in large language models (LLMs) has led to impressive performance on a range of tasks, yet advanced instruction following (IF)-especially for complex, multi-turn, a…

cs.LG2025

Bradley-Terry Policy Optimization for Generative Preference Modeling

Shengyu Feng, Yun He, Shuang Ma +12

Reinforcement learning (RL) has recently proven effective at scaling chain-of-thought (CoT) reasoning in large language models for tasks with verifiable answers. However, extending…

cs.LG2025

Alchemist: Towards the Design of Efficient Online Continual Learning System

Yuyang Huang, Yuhan Liu, Haryadi S. Gunawi +2

Continual learning has become a promising solution to refine large language models incrementally by leveraging user feedback. In particular, online continual learning - iteratively…

cs.CV2025

PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology

Fatemeh Ghezloo, Mehmet Saygin Seyfioglu, Rustin Soraki +6

Diagnosing diseases through histopathology whole slide images (WSIs) is fundamental in modern pathology but is challenged by the gigapixel scale and complexity of WSIs. Trained his…

cs.AI2025

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition

Guanghao Ye, Khiem Duc Pham, Xinzhi Zhang +5

Recent AI advancements, such as OpenAI's new models, are transforming LLMs into LRMs (Large Reasoning Models) that perform reasoning during inference, taking extra time and compute…

cs.LG2024

Reflect-RL: Two-Player Online RL Fine-Tuning for LMs

Runlong Zhou, Simon S. Du, Beibin Li

As language models (LMs) demonstrate their capabilities in various fields, their application to tasks requiring multi-round interactions has become increasingly popular. These task…

cs.DC2024★ 6 cited

Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native

Yao Lu, Song Bian, Lequn Chen +19

In this paper, we investigate the intersection of large generative AI models and cloud-native computing architectures. Recent large models such as ChatGPT, while revolutionary in t…