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)
Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning
ICML 2024
Improving Context Usage for Translating Bilingual Customer Support Chat with Large Language Models
EMNLP 2024
Improving Contrastive Learning in Emotion Recognition in Conversation via Data Augmentation and Decoupled Neutral Emotion
EACL 2024
Improving Covert Toxicity Detection by Retrieving and Generating References
NAACL 2024
Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach
EACL 2024
Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training
COLING 2024
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
EMNLP 2024
Improving Dialog Safety using Socially Aware Contrastive Learning
EACL 2024
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
EMNLP 2024
Improving Event Definition Following For Zero-Shot Event Detection
ACL 2024
Improving Evidence Retrieval on Claim Verification Pipeline through Question Enrichment
EMNLP 2024
Improving Explainable Fact-Checking via Sentence-Level Factual Reasoning
EMNLP 2024
Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo
NAACL 2024
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization
EMNLP 2024
Improving Factual Error Correction by Learning to Inject Factual Errors
AAAI 2024
Improving Factuality and Reasoning in Language Models through Multiagent Debate
ICML 2024
Improving Factuality in Clinical Abstractive Multi-Document Summarization by Guided Continued Pre-training
NAACL 2024
Improving Faithfulness in Abstractive Text Summarization with EDUs Using BART (Student Abstract)
AAAI 2024
Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency
COLING 2024
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model
EMNLP 2024
Improving Generalization in Semantic Parsing by Increasing Natural Language Variation
EACL 2024
Improving Gloss-free Sign Language Translation by Reducing Representation Density
NeurIPS 2024
Improving Grammatical Error Correction by Correction Acceptability Discrimination
COLING 2024
Improving Grammatical Error Correction via Contextual Data Augmentation
ACL 2024
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback
EACL 2024