works on

From the 1 of 19 linked papers with an AI index.

activity
20242026
collaborators

19 papers

cs.AI2026

Can MLLMs Decode the Creative Leap? Introducing C4 for Cross-Concept Understanding

Ming Wang, Yuqing Zhang, Tingna Xie +5

Creative capabilities of MLLMs matter in design, communication, education, and human--AI collaboration, yet remain difficult to evaluate because explicit targets and reward signals…

cs.CL2026

Do AI Personas Grow? Analyzing and Benchmarking Personality Evolution in LLM Agents After Life Events

Ming Wang, Peidong Wang, Xiaocui Yang +4

Personality-conditioned LLM agents (PC-Agents) are increasingly used in emotional support, social simulation, and role-playing, motivating the development of lifelong agents that r…

cs.CL2026

Beyond Feeling Better: Capability-Sustaining Emotional Dialogue as a Longitudinal Research Paradigm

Ming Wang, Jiaqi Wu Young, Wenfang Wu +2

The paper introduces capability‑sustaining emotional dialogue (CSED) as a longitudinal research paradigm that aims to support users' emotional regulation, coping, and autonomy over…

cs.SD2026

Beyond Text Following: Repairable Arbitration Reversals in Audio-Language Models

Yichen Gao, Yiqun Zhang, Zijing Wang +7

Audio-language models (ALMs) often follow text that conflicts with audio, even when the audio evidence is clear. This raises a basic question: is the audio-supported answer unavail…

cs.CL2026

Coherence Maximization Improves Pluralistic Alignment

Taslim Mahbub, Yiding Pei, Shi Feng

Aligning AI systems with diverse human values requires value specifications grounded in concrete examples, but generating such examples without extensive human supervision remains…

cs.CL2026

"I've Seen How This Goes": Characterizing Diversity via Progressive Conditional Surprise

Matthew Khoriaty, David Williams-King, Shi Feng

Measuring the diversity of creative outputs is central to evaluating post-training mode collapse, comparing decoding strategies, and quantifying creative behavior in both AI and hu…