Minzhi Li (Ella) | Web IR NLP Group @ NUS

CIVIC-AI: Stanford's SALT Lab and WING.NUS Collaborate on Social Intelligence and the Future of AI and Work

Mon, 22 Jun 2026 00:00:00 +0000

The inaugural CIVIC-AI workshop (13–14 July 2026) kicks off a major collaboration between Stanford’s SALT Lab and WING.NUS, bringing together researchers, policymakers, and funding agencies to examine the Social Intelligence of Foundation Models and the Future of AI and Work.

The CIVIC-AI Workshop is an upcoming two-day event in Singapore that will explore the profound societal impacts of AI adoption. The workshop is generously funded by the Ministry of Digital Development and Information of the Republic of Singapore under its AI Visiting Professorship grant, and is also supported by the Ministry of Manpower.

The event centers on three core questions:

Cross-cultural Dimensions: How do cultural context, economic development, and policy environments shape AI adoption and the lived experience of automation across different societies?
Future of Work & Automation: Which professions and tasks are being automated away versus augmented, and who bears the costs of displacement?
Human Advantage: What constitutes irreducible human value when a large fraction of knowledge work can be automated, and how do we measure and support it?

The first day (13 July) focuses on the theme of Social Intelligence, featuring invited talks by researchers such as Yohan Jo, Nancy F. Chen, and Lizi Liao, alongside lightning talks and a panel discussion. The highlight of the day will be a keynote by Diyi Yang from Stanford’s SALT Lab on “Optimizing Human-AI Collaboration,” which will introduce General User Models (GUMs) and Next Action Prediction (NAP) to foster proactive and meaningful human-AI interaction.

The second day (14 July) will center on the Future of Work With AI Agents in Singapore, featuring presentations by Diyi Yang and Min-Yen Kan, followed by extensive discussion sessions to finalize directions and next steps for the collaboration.

Registration for the workshop closes on 6 July 2026. For more details and to register, visit the CIVIC-AI workshop website.

The workshop is made possible by the Singapore Global AI Visiting Professorship (AIVP), an initiative by the Ministry of Digital Development and Information to strengthen Singapore’s AI research capabilities by attracting world-class expertise. Min-Yen Kan (WING.NUS) and Diyi Yang (SALT Lab, Stanford University) are among six NUS Computing faculty teams awarded AIVP grants, for their project “Evaluating and Building Socially Intelligent Foundation Models” — the research collaboration that underpins CIVIC-AI.

WING 2026 Spring Outing at Clarke Quay

Fri, 23 Jan 2026 00:00:00 +0000

WING members were excited to have a spring outing at Clarke Quay on January 23, 2026. For this outing, we scheduled it at the beginning of the semester to help new members better cohere with the group.

We enjoyed both the beautiful river view and the pizza! We were happy to see the return of our alumni, especially Hengchang, Victor, and Taha, as well as our collaborator, Yunshan. We especially thank Hengchang (a WING PhD alumnus) for his generous donation of the pizza (and other items on the bill as well)!

Below is a gallery of the outing, photo credit to Yajing, Glenda, and Yisong!

WING Hosts a Lab Tour for AAAI 2026 Participants

Fri, 23 Jan 2026 00:00:00 +0000

AAAI 2026 has been held in Singapore from January 20 to January 27. Some of our group members are excited to travel to the conference site (at Expo) to communicate research. In conjunction with our regular group meeting on Friday, January 23, we are delighted to invite AAAI participants to visit our WING lab and experience the NUS Computing environment.

With our visitors, this group meeting had a special agenda:

Minzhi Li from WING NUS gave a presentation to debrief her 2025 internship experience.

Dr. Lu Gan (from GESIS - Leibniz Institute for the Social Sciences) gave a presentation about an AAAI paper from their team, titled “GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning” (available here).

Finally, we had a round of self-introductions for all WING members as well as the visitors to socialize and discuss research.

Below is a gallery of the lab tour, photo credit to Sahaj, Yisong, and Min!

Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers (Tutorial at ACL '25)

Sun, 27 Jul 2025 00:00:00 +0000

DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation

Wed, 01 Jan 2025 00:00:00 +0000

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Fri, 01 Dec 2023 00:00:00 +0000