Roy Ka-Wei Lee

Orcid: 0000-0002-1986-7750

According to our database1, Roy Ka-Wei Lee authored at least 128 papers between 2013 and 2025.

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Bibliography

2025
HateClipSeg: A Segment-Level Annotated Dataset for Fine-Grained Hate Video Detection.
CoRR, August, 2025

BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles.
CoRR, July, 2025

LionGuard 2: Building Lightweight, Data-Efficient & Localised Multilingual Content Moderators.
CoRR, July, 2025

CCL-XCoT: An Efficient Cross-Lingual Knowledge Transfer Method for Mitigating Hallucination Generation.
CoRR, July, 2025

Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation.
CoRR, July, 2025

LLMATCH: A Unified Schema Matching Framework with Large Language Models.
CoRR, July, 2025

RabakBench: Scaling Human Annotations to Construct Localized Multilingual Safety Benchmarks for Low-Resource Languages.
CoRR, July, 2025

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning.
CoRR, June, 2025

"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactions.
CoRR, June, 2025

Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation.
CoRR, June, 2025

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models.
CoRR, June, 2025

Understanding Refusal in Language Models with Sparse Autoencoders.
CoRR, May, 2025

Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs.
CoRR, May, 2025

Shifting Long-Context LLMs Research from Input to Output.
CoRR, March, 2025

Unveiling the Capabilities of Large Language Models in Detecting Offensive Language with Annotation Disagreement.
CoRR, February, 2025

Contrastive Token-level Explanations for Graph-based Rumour Detection.
CoRR, February, 2025

Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video Detection.
Proceedings of the ACM on Web Conference 2025, 2025

Cross Platform MultiModal Retrieval Augmented Distillation for Code-Switched Content Understanding.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Third International Workshop on Multimodal Content Analysis for Social Good.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

User Archetypes and Information Dynamics on Telegram: COVID-19 and Climate Change Discourse in Singapore.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Unmasking Implicit Bias: Evaluating Persona-Prompted LLM Responses in Power-Disparate Social Scenarios.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions.
Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

Contrastive Instruction Fine-Tuning Large Multimodal Model for Hateful Meme Classification.
Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
RumorGraphXplainer: Do Structures Really Matter in Rumor Detection.
IEEE Trans. Comput. Soc. Syst., October, 2024

Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysis.
ACM Trans. Comput. Hum. Interact., February, 2024

Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection.
IEEE Trans. Comput. Soc. Syst., February, 2024

Fairness And Performance In Harmony: Data Debiasing Is All You Need.
CoRR, 2024

Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks.
CoRR, 2024

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs.
CoRR, 2024

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification.
CoRR, 2024

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification.
CoRR, 2024

Interpreting Bias in Large Language Models: A Feature-Based Approach.
CoRR, 2024

SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore.
CoRR, 2024

MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation.
CoRR, 2024

All in a Single Image: Large Multimodal Models are In-Image Learners.
CoRR, 2024

Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models.
CoRR, 2024

MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation.
Proceedings of the ACM on Web Conference 2024, 2024

Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024).
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Love-Hate Dataset: A Multi-Modal Multi-Platform Dataset Depicting Emotions in the 2023 Israel-Hamas War.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Contrastive Disentanglement for Authorship Attribution.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Brinjal: A Web-Plugin for Collaborative Hate Speech Detection.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Understanding (Dark) Humour with Internet Meme Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Modularized Networks for Few-shot Hateful Meme Detection.
Proceedings of the ACM on Web Conference 2024, 2024

Using Voice Data to Facilitate Depression Risk Assessment in Primary Health Care.
Proceedings of the Companion Publication of the 16th ACM Web Science Conference, 2024

MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

InfoTrace: A System for Information Campaign Source Tracing and Analysis on Social Media.
Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 2024

ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Hate Speech Classification in Text-Embedded Images: Integrating Ontology, Contextual Semantics, and Vision-Language Representations.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

2023
Attention-Fused Deep Relevancy Matching Network for Clickbait Detection.
IEEE Trans. Comput. Soc. Syst., December, 2023

DReD-A Descriptive Relation Dataset for Expanding Relation Extraction.
IEEE Trans. Artif. Intell., December, 2023

TikTok's Project Texas - Social Media Data Governance Across Geopolitical Lines.
Digit. Gov. Res. Pract., December, 2023

Predicting hate intensity of twitter conversation threads.
Knowl. Based Syst., 2023

PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models.
CoRR, 2023

Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care.
CoRR, 2023

ChatGPT and Bard Responses to Polarizing Questions
CoRR, 2023

Feasibility, Opportunities, and Challenges of Utilizing AI for Collaborative Qualitative Analysis.
CoRR, 2023

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
CoRR, 2023

BTRec: BERT-based Trajectory Recommendation for Personalized Tours.
Proceedings of the Workshop on Recommenders in Tourism co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore.
Proceedings of the 14th Conference on ACM Multimedia Systems, 2023

PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MATK: The Meme Analytical Tool Kit.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

LRS4DP: Location Recommendation System for Destination Prediction.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Evaluating GPT-3 Generated Explanations for Hateful Content Moderation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Decoding the Underlying Meaning of Multimodal Hateful Memes.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Layered Bias: Interpreting Bias in Pretrained Large Language Models.
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Prompting Large Language Models for Topic Modeling.
Proceedings of the IEEE International Conference on Big Data, 2023

MERMAID: A Dataset and Framework for Multimodal Meme Semantic Understanding.
Proceedings of the IEEE International Conference on Big Data, 2023

Interpretable Sock Puppet Attribution.
Proceedings of the IEEE International Conference on Big Data, 2023

SBTREC - A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis.
Proceedings of the IEEE International Conference on Big Data, 2023

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Text Style Transfer: A Review and Experimental Evaluation.
SIGKDD Explor., 2022

Temporal-aware and multifaceted social contexts modeling for social recommendation.
Knowl. Based Syst., 2022

Segmentation for document layout analysis: not dead yet.
Int. J. Document Anal. Recognit., 2022

Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users?
CoRR, 2022

On Explaining Multimodal Hateful Meme Detection Models.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multimodal Zero-Shot Hateful Meme Detection.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Prompting for Multimodal Hateful Meme Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Categorizing Memes About the Ukraine Conflict.
Proceedings of the Computational Data and Social Networks - 11th International Conference, 2022

MUSCAT: Multilingual Rumor Detection in Social Media Conversations.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks.
IEEE Trans. Knowl. Data Eng., 2021

Online Xenophobic Behavior Amid the COVID-19 Pandemic: A Commentary.
Digit. Gov. Res. Pract., 2021

A Syntax-Aware Encoder for Authorship Attribution.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

AutoChart: A Dataset for Chart-to-Text Generation Task.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Syntax Matters! Syntax-Controlled in Text Style Transfer.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Disentangling Hate in Online Memes.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Early Prediction of Hate Speech Propagation.
Proceedings of the 2021 International Conference on Data Mining, 2021

Improving Text Auto-Completion with Next Phrase Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Will you dance to the challenge?: predicting user participation of TikTok challenges.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Hierarchical Expert Recommendation on Community Question Answering Platforms.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

On Orthogonality Constraints for Transformers.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Text Style Transfer: A Review and Experiment Evaluation.
CoRR, 2020

On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic.
CoRR, 2020

On Analyzing Annotation Consistency in Online Abusive Behavior Datasets.
CoRR, 2020

DeepHate: Hate Speech Detection via Multi-Faceted Text Representations.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Keen2Act: Activity Recommendation in Online Social Collaborative Platforms.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Retrofitting Embeddings for Unsupervised User Identity Linkage.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Ocean: A Dual Learning Approach For Generalized Zero-Shot Sketch-Based Image Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

DeepStyle: User Style Embedding for Authorship Attribution of Short Texts.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Graph-to-Tree Learning for Solving Math Word Problems.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
AD-Link: An Adaptive Approach for User Identity Linkage.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Topic enhanced word embedding for toxic content detection in Q&A sites.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites.
Proceedings of the 10th ACM Conference on Web Science, 2018

Discovering Hidden Topical Hubs and Authorities in Online Social Networks.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Unsupervised User Identity Linkage via Factoid Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2018

Linky: Visualizing User Identity Linkage Results for Multiple Online Social Networks.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites.
Proceedings of the 26th International Conference on World Wide Web, 2017

GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms.
Proceedings of the Social Informatics, 2017

2016
Friendship Maintenance and Prediction in Multiple Social Networks.
Proceedings of the 27th ACM Conference on Hypertext and Social Media, 2016

2015
Measuring Centralities for Transportation Networks Beyond Structures.
Proceedings of the Applications of Social Media and Social Network Analysis, 2015

SignEPC : A Digital Signature Scheme for Efficient and Scalable Access Control in EPCglobal Network.
CoRR, 2015

Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion.
Proceedings of the Advances in Information Retrieval, 2015

2013
DelayFlow centrality for identifying critical nodes in transportation networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013


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