19 citations · 22 across the 9 of their papers we have counts for
9 papers
SAGE: Retain-Aware Post-Hoc Sanitization of Final Unlearning Vector
Jingyuan Zhang, Yucheng Bai, Peixi Wen +6
Large Language Model (LLM) unlearning aims to remove undesirable knowledge or behaviors while preserving retained capabilities. Current unlearning methods all involve a trade-off b…
VL-RouterBench: A Benchmark for Vision-Language Model Routing
Zhehao Huang, Baijiong Lin, Jingyuan Zhang +5
Multi-model routing has evolved from an engineering technique into essential infrastructure, yet existing work lacks a systematic, reproducible benchmark for evaluating vision-lang…
Every Activation Boosted: Scaling General Reasoner to 1 Trillion Open Language Foundation
Ling Team, Ang Li, Ben Liu +138
We introduce Ling 2.0, a series reasoning-oriented language foundation built upon the principle that every activation boosts reasoning capability. Designed to scale from tens of bi…
AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure
The AIBrix Team, Jiaxin Shan, Varun Gupta +24
We introduce AIBrix, a cloud-native, open-source framework designed to optimize and simplify large-scale LLM deployment in cloud environments. Unlike traditional cloud-native stack…
NotebookOS: A Replicated Notebook Platform for Interactive Training with On-Demand GPUs
Benjamin Carver, Jingyuan Zhang, Haoliang Wang +2
Interactive notebook programming is universal in modern ML and AI workflows, with interactive deep learning training (IDLT) emerging as a dominant use case. To ensure responsivenes…
AdaSVD: Adaptive Singular Value Decomposition for Large Language Models
Zhiteng Li, Mingyuan Xia, Jingyuan Zhang +5
Large language models (LLMs) have achieved remarkable success in natural language processing (NLP) tasks, yet their substantial memory requirements present significant challenges f…
FS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions
Benjamin Carver, Runzhou Han, Jingyaun Zhang +2
The metadata service (MDS) sits on the critical path for distributed file system (DFS) operations, and therefore it is key to the overall performance of a large-scale DFS. Common "…
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache
Ao Wang, Jingyuan Zhang, Xiaolong Ma +6
Internet-scale web applications are becoming increasingly storage-intensive and rely heavily on in-memory object caching to attain required I/O performance. We argue that the emerg…
In Search of a Fast and Efficient Serverless DAG Engine
Benjamin Carver, Jingyuan Zhang, Ao Wang +1
Python-written data analytics applications can be modeled as and compiled into a directed acyclic graph (DAG) based workflow, where the nodes are fine-grained tasks and the edges a…