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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
Limitations of Language Models in Arithmetic and Symbolic Induction
ACL 2023
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation
ACL 2023
GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator
ACL 2023
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
ACL 2023
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models
ACL 2023
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
ACL 2023
NLP Reproducibility For All: Understanding Experiences of Beginners
ACL 2023
Plug-and-Play Knowledge Injection for Pre-trained Language Models
ACL 2023
Rethinking Masked Language Modeling for Chinese Spelling Correction
ACL 2023
How Do In-Context Examples Affect Compositional Generalization?
ACL 2023
Is GPT-3 a Good Data Annotator?
ACL 2023
How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases
ACL 2023
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
ACL 2023
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting
ACL 2023
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
ACL 2023
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale
ACL 2023
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain
ACL 2023
UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language
ACL 2023
Downstream Datasets Make Surprisingly Good Pretraining Corpora
ACL 2023
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages
ACL 2023
What’s the Meaning of Superhuman Performance in Today’s NLU?
ACL 2023
Understanding In-Context Learning via Supportive Pretraining Data
ACL 2023
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning
ACL 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions
ACL 2023
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models
ACL 2023
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