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Large Language Models
6405 directly classified papers
Papers per year
2007: 3
2017: 2
2018: 3
2019: 10
2020: 49
2021: 53
2022: 188
2023: 558
2024: 1910
2025: 3619
2026: 10
Papers
Syntax-Enhanced Pre-trained Model
ACL 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
ACL 2021
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling
ACL 2021
How to Adapt Your Pretrained Multilingual Model to 1600 Languages
ACL 2021
Syntax-augmented Multilingual BERT for Cross-lingual Transfer
ACL 2021
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
ACL 2021
Making Pre-trained Language Models Better Few-shot Learners
ACL 2021
Explaining Relationships Between Scientific Documents
ACL 2021
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
ACL 2021
What Context Features Can Transformer Language Models Use?
ACL 2021
Examining the Inductive Bias of Neural Language Models with Artificial Languages
ACL 2021
Contrastive Out-of-Distribution Detection for Pretrained Transformers
EMNLP 2021
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models
EMNLP 2021
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI
EMNLP 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
EMNLP 2021
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
EMNLP 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
EMNLP 2021
“Was it “stated” or was it “claimed”?: How linguistic bias affects generative language models
EMNLP 2021
LMdiff: A Visual Diff Tool to Compare Language Models
EMNLP 2021
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade
EMNLP 2021
BASE Layers: Simplifying Training of Large, Sparse Models
ICML 2021
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks
EMNLP 2021
Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right
EMNLP 2021
Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains
EMNLP 2021
When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training
EMNLP 2021
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