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Liangming Pan
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Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning
On the Risk of Misinformation Pollution with Large Language Models
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking
INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models
Doolittle: Benchmarks and Corpora for Academic Writing Formalization
Dynamic Topic Modeling with Contrastive Topic Evolution and Unassociated Word Sampling
Fact-Checking Complex Claims with Program-Guided Reasoning
Attacking Open-domain Question Answering by Injecting Misinformation
Investigating Zero- and Few-shot Generalization in Fact Verification
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation
Hashtag-Guided Low-Resource Tweet Classification
CoHS-CQG: Context and History Selection for Conversational Question Generation
KHANQ: A Dataset for Generating Deep Questions in Education
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base
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
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
Multi-modal Cooking Workflow Construction for Food Recipes
A Hybrid Approach for Detecting Prerequisite Relations in Multi-modal Food Recipes
Semantic Graphs for Generating Deep Questions
Expertise Style Transfer: A New Task Towards Better Communcation between Experts and Laymen
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition
Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network
Recent Advances in Neural Question Generation
Resource Mention Extraction for MOOC Discussion Forums
Predicting Concept-based Research Trends with Rhetorical Framing
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation
Prerequisite Relation Learning for Concepts in MOOCs
Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding
Boosting to Build a Large-Scale Cross-Lingual Ontology
RiMOM results for OAEI 2016
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