Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models
ACL 2025
LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models
EMNLP 2025
LLM-Powered User Simulator for Recommender System
AAAI 2025
LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning
NAACL 2025
LLMsAgainstHate@NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs
COLING 2025
LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition
EMNLP 2025
LLMs are Biased Evaluators But Not Biased for Fact-Centric Retrieval Augmented Generation
ACL 2025
LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs
NAACL 2025
LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs
NAACL 2025
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
NAACL 2025
LLMs as Medical Safety Judges: Evaluating Alignment with Human Annotation in Patient-Facing QA
ACL 2025
LLMs as Planning Formalizers: A Survey for Leveraging Large Language Models to Construct Automated Planning Models
ACL 2025
LLMs can be easily Confused by Instructional Distractions
ACL 2025
LLMs cannot spot math errors, even when allowed to peek into the solution
EMNLP 2025
LLMs can Perform Multi-Dimensional Analytic Writing Assessments: A Case Study of L2 Graduate-Level Academic English Writing
ACL 2025
LLM Sensitivity Challenges in Abusive Language Detection: Instruction-Tuned vs. Human Feedback
COLING 2025
LLMs for Detection and Classification of Persuasion Techniques in Slavic Parliamentary Debates and Social Media Texts
ACL 2025
LLMs for Extremely Low-Resource Finno-Ugric Languages
NAACL 2025
LLMs for Translation: Historical, Low-Resourced Languages and Contemporary AI Models
NAACL 2025
LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection
ACL 2025
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks
ACL 2025
LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts
ACL 2025
LLMs on a Budget? Say HOLA
EMNLP 2025
LLMs Protégés: Tutoring LLMs with Knowledge Gaps Improves Student Learning Outcome
ACL 2025
LLMSR@XLLM25: A Language Model-Based Pipeline for Structured Reasoning Data Construction
ACL 2025