From the 1 of 6 linked papers with an AI index.
6 papers
Step-Level Preference Learning for Generative Agents in Social Simulations
Wenchang Gao, Pingyue Sheng, Lanlan Qiu +7
The paper presents an interactive interface to collect step‑level human preference data for generative agents, creates a 57K annotation dataset, and shows that training LLMs with t…
VirtualCrime: Evaluating the Criminal Potential and Agentic Behaviors of Large Language Models via Sandbox Simulation
Yilin Tang, Yu Wang, Lanlan Qiu +4
Large language models (LLMs) have shown strong capabilities in multi-step decision-making, and are increasingly integrated into real-world agentic applications. While existing safe…
CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering
Baicheng Chen, Yu Wang, Ziheng Zhou +4
Reverse engineering (RE) is central to software security, particularly for cryptographic programs that handle sensitive data and are highly prone to vulnerabilities. It supports cr…
FusionGen: Feature Fusion-Based Few-Shot EEG Data Generation
Yuheng Chen, Dingkun Liu, Xinyao Yang +3
Brain-computer interfaces (BCIs) provide potential for applications ranging from medical rehabilitation to cognitive state assessment by establishing direct communication pathways…
The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results
Qiuyu Chen, Xin Jin, Yue Song +45
This paper reviews the 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real), held in conjunction with ICCV 2025. The workshop a…
VGMShield: Mitigating Misuse of Video Generative Models
Yan Pang, Baicheng Chen, Yang Zhang +1
With the rapid advancement in video generation, people can conveniently use video generation models to create videos tailored to their specific desires. As a result, there are also…