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)
Is Your Large Language Model Knowledgeable or a Choices-Only Cheater?
ACL 2024
IT2ACL Learning Easy-to-Hard Instructions via 2-Phase Automated Curriculum Learning for Large Language Models
COLING 2024
IT5: Text-to-text Pretraining for Italian Language Understanding and Generation
COLING 2024
ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps
ACL 2024
Italian-Ligurian Machine Translation in Its Cultural Context
COLING 2024
Italian Word Embeddings for the Medical Domain
COLING 2024
ItD: Large Language Models Can Teach Themselves Induction through Deduction
ACL 2024
Item Difficulty and Response Time Prediction with Large Language Models: An Empirical Analysis of USMLE Items
NAACL 2024
Item Response Theory for Natural Language Processing
EACL 2024
IterAlign: Iterative Constitutional Alignment of Large Language Models
NAACL 2024
Iteration Head: A Mechanistic Study of Chain-of-Thought
NeurIPS 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models
ACL 2024
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
ACL 2024
IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
NAACL 2024
ITER: Iterative Transformer-based Entity Recognition and Relation Extraction
EMNLP 2024
ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
EMNLP 2024
It is a Truth Individually Acknowledged: Cross-references On Demand
EMNLP 2024
It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension
ACL 2024
It is not True that Transformers are Inductive Learners: Probing NLI Models with External Negation
EACL 2024
It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance
ACL 2024
It’s All Relative! – A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction
NAACL 2024
It’s Difficult to Be Neutral – Human and LLM-based Sentiment Annotation of Patient Comments
COLING 2024
”It’s how you do things that matters”: Attending to Process to Better Serve Indigenous Communities with Language Technologies
EACL 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
ICLR 2024
It’s Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
ACL 2024