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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9067 directly classified papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
NIPS 2022
Forecasting Future World Events With Neural Networks
NIPS 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
NIPS 2022
An empirical analysis of compute-optimal large language model training
NIPS 2022
TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models
NIPS 2022
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
NIPS 2022
Autoformalization with Large Language Models
NIPS 2022
Exploring Length Generalization in Large Language Models
NIPS 2022
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better
ACL 2022
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates
EMNLP 2022
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models
EMNLP 2022
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure
EMNLP 2022
SMASH: Improving SMAll Language Models’ Few-SHot Ability with Prompt-Based Distillation
EMNLP 2022
Cross-lingual transfer for low-resource Arabic language understanding
EMNLP 2022
Knowledge Neurons in Pretrained Transformers
ACL 2022
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
ACL 2022
Contrastive Language-Image Pre-Training with Knowledge Graphs
NIPS 2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
NIPS 2022
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference
ACL 2022
Learning Better Intent Representations for Financial Open Intent Classification
EMNLP 2022
AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees
EMNLP 2022
Bayes at FigLang 2022 Euphemism Detection shared task: Cost-Sensitive Bayesian Fine-tuning and Venn-Abers Predictors for Robust Training under Class Skewed Distributions
EMNLP 2022
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning
NIPS 2022
Deep Bidirectional Language-Knowledge Graph Pretraining
NIPS 2022
On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing
ACL 2022
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