Cloze Test
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Benchmarks
CodeXGLUE - CT-all
CodeXGLUE - CT-maxmin
Most implemented
Bidirectional Attention Flow for Machine Comprehension
ERNIE: Enhanced Representation through Knowledge Integration
Improving Language Understanding by Generative Pre-Training
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Papers
QUIET: A Multi-Blank Cascaded Story Cloze Benchmark for LLM Creative Generation Capability
Large language models (LLMs) face a dual challenge in creative capability evaluation: existing benchmarks (e.g., Story Cloze Test, HellaSwag) measure models' discriminative ability over narrative continuation using multi…
Logical ReasoningCloze TestHUKUKBERT: Domain-Specific Language Model for Turkish Law
Natural language processing (NLP) advances have powered a generation of LegalTech systems, but Turkish law remains under-served by domain-specific data and models. English has legal encoders such as LEGAL-BERT; no compar…
Cloze TestAvaliação de eficiência na leitura: uma abordagem baseada em PLN
The cloze test, widely used due to its low cost and flexibility, makes it possible to assess reading comprehension by filling in gaps in texts, requiring the mobilization of diverse linguistic repertoires. However, tradi…
Reading ComprehensionPOS TaggingCloze TestDualReward: A Dynamic Reinforcement Learning Framework for Cloze Tests Distractor Generation
This paper introduces DualReward, a novel reinforcement learning framework for automatic distractor generation in cloze tests. Unlike conventional approaches that rely primarily on supervised learning or static generativ…
Reinforcement LearningDistractor GenerationCloze TestNLP and Education: using semantic similarity to evaluate filled gaps in a large-scale Cloze test in the classroom
This study examines the applicability of the Cloze test, a widely used tool for assessing text comprehension proficiency, while highlighting its challenges in large-scale implementation. To address these limitations, an …
Cloze TestReading ComprehensionSemantic SimilaritySemantic Textual Similarity+1Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models
Recent advances in large language models (LLMs) have promoted generative error correction (GER) for automatic speech recognition (ASR), which aims to predict the ground-truth transcription from the decoded N-best hypothe…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Cloze Testspeech-recognition+2