Web IR NLP Group @ NUS
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Liangming Pan
Doctoral Alumnus (Apr ‘22). Thesis: Towards Generating Deep Questions from Text.
National University of Singapore, School of Computing
Latest
Epistemic Context Learning: Building Trust the Right Way in LLM-Based Multi-Agent Systems
MuSLR: Multimodal Symbolic Logical Reasoning
M^3Check: A Demonstration System for Multilingual Multi-clue Multi-Hop Fact-Checking
TART – An Open-Source Tool-Augmented Framework for Explainable Table-Based Reasoning
SCITAB – A Benchmark for Scientific Table-Based Fact-Checking
Doolittle: Benchmarks and Corpora for Academic Writing Formalization
On the Risk of Misinformation Pollution with Large Language Models
QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
Attacking Open-domain Question Answering by Injecting Misinformation
FollowupQG: Towards information-seeking follow-up question generation
Investigating Zero- and Few-shot Generalization in Fact Verification
Fact-Checking Complex Claims with Program-Guided Reasoning
Interpreting the Robustness of Neural NLP Models to Textual Perturbations
Zero-shot Fact Verification by Claim Generation
Unsupervised Multi-hop Question Answering by Question Generation
Exploring Question-Specific Rewards for Generating Deep Questions
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen
Semantic Graphs for Generating Deep Questions
Resource Mention Extraction for MOOC Discussion Forums
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