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)
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs
EMNLP 2024
Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation
EMNLP 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
NeurIPS 2024
Quantifying and Analyzing Entity-Level Memorization in Large Language Models
AAAI 2024
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective
EMNLP 2024
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing
NeurIPS 2024
Quantifying Generalizations: Exploring the Divide Between Human and LLMs’ Sensitivity to Quantification
ACL 2024
Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles
EMNLP 2024
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
ICLR 2024
Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense
AAAI 2024
Quantifying Stereotypes in Language
EACL 2024
Quantifying the Ethical Dilemma of Using Culturally Toxic Training Data in AI Tools for Indigenous Languages
COLING 2024
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval
EMNLP 2024
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
ICLR 2024
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
AISTATS 2024
Quantitative metrics to the CARS model in academic discourse in biology introductions
EACL 2024
Quantization of Large Language Models with an Overdetermined Basis
UAI 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
ACL 2024
Quantum-Inspired Neural Network with Runge-Kutta Method
AAAI 2024
Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation
AAAI 2024
Quantum Recurrent Architectures for Text Classification
EMNLP 2024
Quartet@LT-EDI 2024: A Support Vector Machine Approach For Caste and Migration Hate Speech Detection
EACL 2024
Quartet@LT-EDI 2024: A SVM-ResNet50 Approach For Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes
EACL 2024
Quartet@LT-EDI 2024: Support Vector Machine Based Approach For Homophobia/Transphobia Detection In Social Media Comments
EACL 2024
Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation
EMNLP 2024