SOTAVerified

Linguistic Acceptability

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

Image Source: Warstadt et al

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

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
Show:102550
← PrevPage 1 of 8Next →
All datasetsCoLARuCoLACoLA DevItaCoLADaLAJ

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1En-BERT + TDAAccuracy88.6—Unverified
2XLM-R (pre-trained) + TDAAccuracy73—Unverified
3DeBERTa (large)Accuracy69.5—Unverified
4TinyBERT-6 67MAccuracy54—Unverified
5Synthesizer (R+V)Accuracy53.3—Unverified
6En-BERT (pre-trained) + TDAMCC0.42—Unverified