SOTAVerified

Linguistic Acceptability

Linguistic Acceptability is the task of determining whether a sentence is grammatical or ungrammatical.

Image Source: Warstadt et al

Papers

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Showing 1–10 of 72 papers

TitleStatusHype
Dissecting Bias in LLMs: A Mechanistic Interpretability Perspective—0
Fietje: An open, efficient LLM for DutchCode2
Robust ASR Error Correction with Conservative Data Filtering—0
Learning Phonotactics from Linguistic Informants—0
MELA: Multilingual Evaluation of Linguistic AcceptabilityCode0
Not all layers are equally as important: Every Layer Counts BERT—0
Data-Free Distillation of Language Model by Text-to-Text Transfer—0
How well can machine-generated texts be identified and can language models be trained to avoid identification?—0
JCoLA: Japanese Corpus of Linguistic AcceptabilityCode1
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1XLM-R + TDAMCC0.68—Unverified
2XLM-RMCC0.52—Unverified
3It-BERT (pre-trained) + TDAMCC0.48—Unverified
4mBERTMCC0.36—Unverified