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)
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
ACL 2024
Evaluating Modular Dialogue System for Form Filling Using Large Language Models
EACL 2024
Evaluating Moral Beliefs across LLMs through a Pluralistic Framework
EMNLP 2024
Evaluating Multilingual Language Models for Cross-Lingual ESG Issue Identification
COLING 2024
Evaluating Multilingual Long-Context Models for Retrieval and Reasoning
EMNLP 2024
Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG
EMNLP 2024
Evaluating Open-Source LLMs in Low-Resource Languages: Insights from Latvian High School Exams
EMNLP 2024
Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency
COLING 2024
Evaluating Quantized Large Language Models
ICML 2024
Evaluating Readability and Faithfulness of Concept-based Explanations
EMNLP 2024
Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions
ACL 2024
Evaluating Shortest Edit Script Methods for Contextual Lemmatization
COLING 2024
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models
EMNLP 2024
Evaluating Structural Generalization in Neural Machine Translation
ACL 2024
Evaluating Text-to-Speech Synthesis from a Large Discrete Token-based Speech Language Model
COLING 2024
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding
EMNLP 2024
Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning
ACL 2024
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract)
AAAI 2024
Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ
ACL 2024
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains
EACL 2024
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification
EMNLP 2024
Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation
COLING 2024
Evaluating the Quality of a Corpus Annotation Scheme Using Pretrained Language Models
COLING 2024
Evaluating the Simplification of Brazilian Legal Rulings in LLMs Using Readability Scores as a Target
EMNLP 2024
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs
ACL 2024