Large Language Models

Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models ACL 2021 Relational World Knowledge Representation in Contextual Language Models: A Review EMNLP 2021 Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language Models NAACL 2021 Rethinking Denoised Auto-Encoding in Language Pre-Training EMNLP 2021 Rethinking Why Intermediate-Task Fine-Tuning Works EMNLP 2021 Revisiting Few-sample BERT Fine-tuning ICLR 2021 Revisiting Pretraining with Adapters ACL 2021 Revisiting Simple Neural Probabilistic Language Models NAACL 2021 RG PA at SemEval-2021 Task 1: A Contextual Attention-based Model with RoBERTa for Lexical Complexity Prediction SemEval 2021 Robust Transfer Learning with Pretrained Language Models through Adapters ACL 2021 ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques AAAI 2021 RuleBERT: Teaching Soft Rules to Pre-Trained Language Models EMNLP 2021 SciBERT Sentence Representation for Citation Context Classification NAACL 2021 SciConceptMiner: A system for large-scale scientific concept discovery ACL 2021 Self-trained Pretrained Language Models for Evidence Detection EMNLP 2021 Sequence-to-Sequence Lexical Normalization with Multilingual Transformers EMNLP 2021 Sesame Street to Mount Sinai: BERT-constrained character-level Moses models for multilingual lexical normalization EMNLP 2021 Simon @ LT-EDI-EACL2021: Detecting Hope Speech with BERT EACL 2021 Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations ACL 2021 SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification EACL 2021 Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages EMNLP 2021 SmBoP: Semi-autoregressive Bottom-up Semantic Parsing ACL 2021 SmBoP: Semi-autoregressive Bottom-up Semantic Parsing NAACL 2021 Span Fine-tuning for Pre-trained Language Models EMNLP 2021 Specializing Multilingual Language Models: An Empirical Study EMNLP 2021