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Large Language Models

9067 directly classified papers

Papers per year

Papers

RNRE-NLP at SemEval-2022 Task 4: Patronizing and Condescending Language Detection SEMEVAL 2022
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context NAACL 2022
SSN_NLP_MLRG at SemEval-2022 Task 4: Ensemble Learning strategies to detect Patronizing and Condescending Language SEMEVAL 2022
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection SEMEVAL 2022
UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection NAACL 2022
R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm NAACL 2022
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling COLING 2022
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models COLING 2022
White-box Testing of NLP models with Mask Neuron Coverage NAACL 2022
Benchmarking Transformers-based models on French Spoken Language Understanding tasks INTERSPEECH 2022
akaBERT at SemEval-2022 Task 6: An Ensemble Transformer-based Model for Arabic Sarcasm Detection NAACL 2022
niksss at SemEval-2022 Task 6: Are Traditionally Pre-Trained Contextual Embeddings Enough for Detecting Intended Sarcasm ? NAACL 2022
TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection NAACL 2022
Collateral facilitation in humans and language models CONLL 2022
AliEdalat at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Fine-tuned Language Models, BERT+BiGRU, and Ensemble Models SEMEVAL 2022
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks NAACL 2022
DOCmT5: Document-Level Pretraining of Multilingual Language Models NAACL 2022
Entity Cloze By Date: What LMs Know About Unseen Entities NAACL 2022
LM-CORE: Language Models with Contextually Relevant External Knowledge NAACL 2022
TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization NAACL 2022
An Empirical Study on Pseudo-log-likelihood Bias Measures for Masked Language Models Using Paraphrased Sentences NAACL 2022
Pre-trained Language Models’ Interpretation of Evaluativity Implicature: Evidence from Gradable Adjectives Usage in Context NAACL 2022
“Zo Grof !”: A Comprehensive Corpus for Offensive and Abusive Language in Dutch NAACL 2022
Craft an Iron Sword: Dynamically Generating Interactive Game Characters by Prompting Large Language Models Tuned on Code NAACL 2022
A Majority Voting Strategy of a SciBERT-based Ensemble Models for Detecting Entities in the Astrophysics Literature (Shared Task) AACL 2022