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← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9,067 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
Sequential Integrated Gradients: a simple but effective method for explaining language models
ACL 2023
Multilingual Sequence-to-Sequence Models for Hebrew NLP
ACL 2023
Scaling Laws for BERT in Low-Resource Settings
ACL 2023
Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
ACL 2023
Impact of Adversarial Training on Robustness and Generalizability of Language Models
ACL 2023
Similarizing the Influence of Words with Contrastive Learning to Defend Word-level Adversarial Text Attack
ACL 2023
IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning
ACL 2023
Forecasting Earnings Surprises from Conference Call Transcripts
ACL 2023
Fixed Input Parameterization for Efficient Prompting
ACL 2023
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
ACL 2023
Do Large Language Models Know What They Don’t Know?
ACL 2023
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
ACL 2023
Recipes for Sequential Pre-training of Multilingual Encoder and Seq2Seq Models
ACL 2023
Large Language Models Are Partially Primed in Pronoun Interpretation
ACL 2023
ORCA: A Challenging Benchmark for Arabic Language Understanding
ACL 2023
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning
ACL 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models
ACL 2023
End-to-End Task-Oriented Dialogue Systems Based on Schema
ACL 2023
Augmenting Large Language Model Translators via Translation Memories
ACL 2023
LMentry: A Language Model Benchmark of Elementary Language Tasks
ACL 2023
ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages
ACL 2023
Pre-trained Personalized Review Summarization with Effective Salience Estimation
ACL 2023
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models
ACL 2023
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting
ACL 2023
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
ACL 2023
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