Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?

Attention Is All You Need

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Language Models are Few-Shot Learners

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SQuAD: 100,000+ Questions for Machine Comprehension of Text

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Natural Questions: A benchmark for question answering research

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Language Models as Knowledge Bases?

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TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

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Reading Wikipedia to answer open-domain questions

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COMET: Commonsense Transformers for Automatic Knowledge Graph Construction

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SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference

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How Much Knowledge Can You Pack into the Parameters of a Language Model?

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REALM: Retrieval-Augmented Language Model Pre-Training

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Representing General Relational Knowledge in ConceptNet 5

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oLMpics-On What Language Model Pre-training Captures

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Evaluating Commonsense in Pre-Trained Language Models

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Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets

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Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation

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SemEval-2020 Task 4: Commonsense Validation and Explanation

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BERT is Not a Knowledge Base (Yet): Factual Knowledge vs. Name-Based Reasoning in Unsupervised QA.Preprint

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Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey

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When large language models meet personalization: perspectives of challenges and opportunities

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Towards Mitigating LLM Hallucination via Self Reflection

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Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling

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Iteratively Prompt Pre-trained Language Models for Chain of Thought

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Integrating action knowledge and LLMs for task planning and situation handling in open worlds

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Towards Continual Knowledge Learning of Language Models

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Survey on Factuality in Large Language Models

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Relational World Knowledge Representation in Contextual Language Models: A Review

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ProQA: Structural Prompt-based Pre-training for Unified Question Answering

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Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters

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Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation

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A Systematic Evaluation of Large Language Models and Retrieval-Augmented Generation for the Task of Kazakh Question Answering

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Pre-training Language Models with Deterministic Factual Knowledge

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Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning

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Closed-book Question Generation via Contrastive Learning

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A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models

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A divide and conquer framework for Knowledge Editing

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OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience

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A Unified Encoder-Decoder Framework with Entity Memory

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Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models

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Graph reasoning over explicit semantic relation

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KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation

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RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering

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MotionGPT: Human Motion Synthesis with Improved Diversity and Realism via GPT-3 Prompting

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Time-CoT for Enhancing Time Reasoning Factual Question Answering in Large Language Models

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Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering

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Exploiting Abstract Meaning Representation for Open-Domain Question Answering

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Can Language Models Serve as Temporal Knowledge Bases?

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Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering

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Generative AI as a Supportive Tool for Scientific Research

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Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models

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CLEVA: Chinese Language Models EVAluation Platform

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WikiOmnia: filtration and evaluation of the generated QA corpus on the whole Russian Wikipedia

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Learning to Generalize for Cross-domain QA

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Dual-Prompting Interaction with Entity Representation Enhancement for Event Argument Extraction

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Web Personalization with Large Language Models: Challenges and Future Trends

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CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models

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Retrieve-Enhance-Verify: A Novel Approach for Procedural Knowledge Extraction from Construction Contracts Via Large Language ModelsPreprint

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GKA-GPT: Graphical knowledge aggregation for multiturn dialog generation

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Auto Time-CoT Enhances Large Language Models for Temporal Reasoning Data Processing

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Prompt-Based Learning for Factual Knowledge Infusion in Large Language Models

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Explaining Black-Box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective

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Building a Bilingual QA-system with ruGPT-3

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Is It Smaller Than a Tennis Ball? Language Models Play the Game of Twenty Questions

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Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base

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Studies in conversational AI : multilingual capabilities, world knowledge, and evaluation strategies

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New reasons for biologists to write with a formal language

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Language Model Pre-training on True Negatives

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Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness

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Language Models Can Remember: Improving Memory and Knowled Retrieval Ability for Closed-Book QaPreprint

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Prompt-Enhanced Generation for Multimodal Open Question Answering

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Information Extraction-Driven Knowledge-Based Salient Masked Pre-Training Method

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A DistilBERT-Based Framework for Generating Questions and Answers from Fictional Narratives

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Large language models as digital libraries: a multi-benchmark and multi-model study

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Context Generation Improves Open Domain Question AnsweringPreprint

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Closed-book Question Generation via Contrastive Learning

Dong, X., Lu, J., Wang, J., & Caverlee, J. (2023) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/2023.eacl-main.230 · Cited by 11 · see citing works

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases

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クローズドブック質問応答における言語モデルの知識強化

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Constructing a Closed-Domain Question Answering System with Generative Language Models

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