From the 1 of 11 linked papers with an AI index.
11 papers
Evaluating LLMs in Database Scenarios: A Lifecycle Benchmark for Assessing Their Potential in Core Database Tasks
Shunfan Zheng, Dongsheng Shi, Yue Li +3
Large Language Models (LLMs) are transforming database interaction paradigms, evolving from simple query translators to autonomous database administrators (DBAs). However, current…
Construction-Driven Injection: Linguistically-Grounded Edit-Based Code-Mixing Fingerprints for Large Language Models
Yongyi Cui, Yue Li, Tianbao Jiang +1
The paper introduces a unified framework that creates code‑mixing fingerprints from low‑resource languages and injects them into large language models using null‑space projection a…
From Construction to Injection: Edit-Based Fingerprints for Large Language Models
Yue Li, Xin Yi, Dongsheng Shi +3
Reliable model fingerprints are essential for protecting large language models (LLMs) against unauthorized redistribution and commercial misuse. In black-box deployment, verificati…
SURGENT: A Surgical Multi-Agent Assistance System Across the Perioperative Workflow
Dongsheng Shi, Yue Li, Xin Yi +3
The intricate nature of modern surgical care necessitates intelligent systems that can synthesize extensive patient records, support collaborative decision-making, and provide tran…
Pooling Engram Conditional Memory in Large Language Models using CXL
Ruiyang Ma, Teng Ma, Zhiyuan Su +11
Engram conditional memory has emerged as a promising component for LLMs by decoupling static knowledge lookup from dynamic computation. Since Engram exhibits sparse access patterns…
AGMark: Attention-Guided Dynamic Watermarking for Large Vision-Language Models
Yue Li, Xin Yi, Dongsheng Shi +3
Watermarking has emerged as a pivotal solution for content traceability and intellectual property protection in large vision language models (LVLMs). However, vision-agnostic water…