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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
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