Large Language Models
9,515 papers
Papers per year
3
2
3
10
50
60
195
584
2,423
4,570
1,615
'20
'25
Papers
Transformer Language Models without Positional Encodings Still Learn Positional Information
EMNLP 2022
TruthfulQA: Measuring How Models Mimic Human Falsehoods
ACL 2022
Understanding Domain Learning in Language Models Through Subpopulation Analysis
EMNLP 2022
User-Centric Gender Rewriting
NAACL 2022
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models
NAACL 2022
What do Large Language Models Learn beyond Language?
EMNLP 2022
What GPT Knows About Who is Who
ACL 2022
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it
NAACL 2022
When Language Model Meets Private Library
EMNLP 2022
Who did what to Whom? Language models and humans respond diversely to features affecting argument hierarchy construction
AACL 2022
Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension
COLING 2022
XDBERT: Distilling Visual Information to BERT from Cross-Modal Systems to Improve Language Understanding
ACL 2022
A howling success or a working sea? Testing what BERT knows about metaphors
EMNLP 2021
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
ICLR 2021
Analyzing BERT’s Knowledge of Hypernymy via Prompting
EMNLP 2021
ArabicTransformer: Efficient Large Arabic Language Model with Funnel Transformer and ELECTRA Objective
EMNLP 2021
Automatically Exposing Problems with Neural Dialog Models
EMNLP 2021
BASE Layers: Simplifying Training of Large, Sparse Models
ICML 2021
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
EMNLP 2021
Better Fine-Tuning by Reducing Representational Collapse
ICLR 2021
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade
EMNLP 2021
Challenges in Detoxifying Language Models
EMNLP 2021
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
ACL 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
EMNLP 2021
Comprehension Based Question Answering using Bloom’s Taxonomy
ACL 2021