Natural Language Processing
46,586 papers (52 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
4
2
8
9
3
6
15
21
21
24
20
18
23
39
31
42
365
1,249
2,179
2,937
3,999
4,088
5,096
5,558
8,132
9,879
2,818
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Definition generation for lexical semantic change detection
ACL 2024
DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection for Text-Editing
EMNLP 2024
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP
EMNLP 2024
Deidentifying a Norwegian Clinical Corpus - an Effort to Create a Privacy-preserving Norwegian Large Clinical Language Model
EACL 2024
DEIE: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset
COLING 2024
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning
NAACL 2024
DE-Lite - a New Corpus of Easy German: Compilation, Exploration, Analysis
EACL 2024
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
ACL 2024
Deloitte at #SMM4H 2024: Can GPT-4 Detect COVID-19 Tweets Annotated by Itself?
ACL 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
NeurIPS 2024
Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries
EACL 2024
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
NeurIPS 2024
Democratizing Fine-grained Visual Recognition with Large Language Models
ICLR 2024
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
EMNLP 2024
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
ACL 2024
Demonstration Augmentation for Zero-shot In-context Learning
ACL 2024
Demonstration Retrieval-Augmented Generative Event Argument Extraction
COLING 2024
Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning
ACL 2024
Demonstration Selection Strategies for Numerical Time Series Data-to-Text
EMNLP 2024
Demystifying Embedding Spaces using Large Language Models
ICLR 2024
Demystifying Instruction Mixing for Fine-tuning Large Language Models
ACL 2024
DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
ICLR 2024
Denoising Table-Text Retrieval for Open-Domain Question Answering
COLING 2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
AAAI 2024
Dense Connector for MLLMs
NeurIPS 2024