works on

From the 1 of 13 linked papers with an AI index.

collaborators

13 papers

cs.CV2026

VGI-Bench: Probing Visual Intelligence in Video Generation Models

Xuan He, Cong Wei, Yuhao Cheng +20

Recent studies suggest that video generation models can exhibit certain forms of zero-shot visual reasoning through generated frames. Yet reliable evaluation remains challenging: b…

cs.LG2026

Test-Time Learning with an Evolving Library

Weijia Xu, Alessandro Sordoni, Chandan Singh +4

The paper introduces EvoLib, a test-time learning framework that lets large language models build, reuse, and evolve a shared library of knowledge abstractions across tasks without…

cs.CL2026

Do Proactive Agents Really Need an LLM to Decide When to Wake and What to Anchor?

Xiaoze Liu, Ruowang Zhang, Amir H. Abdi +5

Proactive agents read user activity as text and call an LLM on every event to decide whether to act. But user activity is not natively text: it is a structured event stream of (act…

cs.LG2026

SkillGen: Verified Inference-Time Agent Skill Synthesis

Yuchen Ma, Yue Huang, Han Bao +5

Skills are a promising way to improve LLM agent capabilities without retraining, while keeping the added procedure reusable and controllable. However, high-quality skills are still…

cs.CL2026

Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors

Shuhaib Mehri, Philippe Laban, Sumuk Shashidhar +4

As user simulators are increasingly used for interactive training and evaluation of AI assistants, it is essential that they represent the diverse behaviors of real users. While ex…

cs.AI2026

Agentic-imodels: Evolving agentic interpretability tools via autoresearch

Chandan Singh, Yan Shuo Tan, Weijia Xu +4

Agentic data science (ADS) systems are rapidly improving their capability to autonomously analyze, fit, and interpret data, potentially moving towards a future where agents conduct…