Fanxiao Li | Web IR NLP Group @ NUS

LLM-Augmented Health Community Notes

Sun, 01 Nov 2026 00:00:00 +0000

Community Notes can provide context for misleading health posts, but useful corrections often arrive late. We study how large language models can support timely, evidence-grounded correction: first by augmenting and automating individual notes, and then by reusing experience from previous cases to improve future notes. The project connects two complementary studies of health misinformation governance on social platforms.

In Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation (ACL 2026), we analyze 30.8K health-related notes and find a median delay of 17.6 hours before notes receive a helpfulness status. We introduce CrowdNotes+, which combines evidence-grounded note augmentation with utility-guided note automation. Its hierarchical evaluation separates relevance, correctness, and helpfulness, addressing the tendency to mistake fluent writing for factual accuracy. HealthNotes, a benchmark of 1.2K health notes annotated for helpfulness, supports this study. The CrowdNotes+ repository provides the code and data.

In Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community Notes (Findings of EMNLP 2026), we investigate how note generation can improve across correction episodes. EvoNote distills feedback from completed trajectories into an evolving experience memory that guides claim analysis, evidence acquisition, and note writing. We evaluate it on MM-HealthCN, a 1.2K-instance multimodal benchmark with human-written notes and crowd-derived helpfulness labels. This extends the project’s focus from improving individual corrections to learning reusable correction strategies. The EvoNote repository provides the implementation and MM-HealthCN data.

Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community Notes

Thu, 01 Oct 2026 00:00:00 +0000

Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation

Wed, 01 Jul 2026 00:00:00 +0000

What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews

Wed, 01 Jul 2026 00:00:00 +0000

FlowSteer: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems

Tue, 12 May 2026 00:00:00 +0000

SSNLP 2026: WING Members Present Three Posters

Wed, 21 Jan 2026 00:00:00 +0000

The Singapore Symposium on Natural Language Processing (SSNLP) returns on Wednesday, January 21, 2026, at SUTD as a full-day, in-person event. Since 2018, SSNLP has been the annual gathering of Singapore’s NLP community, bringing together students, faculty, and industry researchers to share ongoing work and spark collaboration. Held in conjunction with AAAI 2026, this year’s symposium will feature invited keynotes from leading researchers in the field, a panel discussion, and an immersive poster-focused program showcasing recent work from Singapore-based researchers published in top venues such as ACL, EMNLP, NeurIPS, ICLR, and AAAI this year (this short intro is propagated from SSNLP 2026 website).

WING members are delighted to attend the seminar, enjoying keynote talks from guest researchers who travel all the way from AoE to Singapore. We also appreciate the panel discussions led by PC Chairs (from *ACL, ICLR, and NeurIPS conference), who share valuable insights on the peer review process, particularly from the students’ perspective.

We also engage in the immersive poster program, and our group is excited to present three posters:

Discursive Circuits: How Do Language Models Understand Discourse Relations? by Yisong Miao and Min-Yen Kan (EMNLP 2025)
SkyLadder: Better and Faster Pretraining via Context Window Scheduling by Tongyao Zhu, Qian Liu, Haonan Wang, Shiqi Chen, Xiangming Gu, Tianyu Pang, and Min-Yen Kan (NeurIPS 2025)
Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection by Fanxiao Li, Jiaying Wu, Tingchao Fu, Yunyun Dong, Bingbing Song and Wei Zhou (AAAI 2026).

We thank the symposium organizers for the opportunity to present our work, as well as the enthusiastic audience who engaged with us during the poster sessions!

Below is a gallery of the poster presentations, we thank Prof Min for taking these photos!

Yisong presenting his work on “Discursive Circuits: How Do Language Models Understand Discourse Relations?”:

Tongyao presenting his work on “SkyLadder: Better and Faster Pretraining via Context Window Scheduling”:

Fanxiao presenting his work on “Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection”:

The Facade of Truth: Uncovering and Mitigating LLM Susceptibility to Deceptive Evidence

Fri, 09 Jan 2026 00:00:00 +0000

WING Members Enjoy the Group Outing at the Macritchie Reservoir

Fri, 14 Nov 2025 00:00:00 +0000

A gallery of additional photos of the outing is included below.