Core AI
68,645 papers (13 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Multimodal Learning (14,926)
Large Language Models (9,515)
Interpretability (8,292)
Foundation Models (5,277)
Agent Systems (4,710)
Causal Inference (3,958)
Multi-Agent Systems (3,842)
AI Safety (3,602)
Planning (3,482)
Reasoning (3,360)
Human-AI Interaction (2,465)
Model Compression (2,258)
Natural Language Processing (2,186)
Responsible AI (2,130)
Computer Vision (1,901)
Game AI (1,846)
Reinforcement Learning (1,698)
Adversarial Learning (1,500)
Autonomous Vehicles (1,488)
Language (1,345)
Fairness (1,279)
Game Theory (1,129)
Robotics (1,087)
Dialogue Systems (1,066)
Efficient Computing (956)
Vision-Language Models (928)
Knowledge Graph (735)
Procedural Generation (709)
Trajectory Prediction (676)
Evaluation (655)
Privacy (617)
Natural Language Generation (573)
Information Retrieval (541)
Memory (526)
Decision Making (480)
Safety (474)
Knowledge Representation (409)
Knowledge (386)
Information Extraction (378)
Speech Processing (310)
Knowledge Graphs (282)
Security (256)
Uncertainty Quantification (246)
Representation Learning (239)
Retrieval-Augmented Generation (225)
Knowledge Editing (200)
Question Answering (199)
Attention (198)
Robustness (186)
Knowledge Distillation (185)
Code Generation (168)
Explainability (142)
Brain-Computer Interface (141)
Neural Networks (136)
Anomaly Detection (132)
Automated Reasoning (84)
Natural Language Understanding (81)
Multi-Lingual Learning (79)
Education (64)
Machine Translation (57)
Learning Paradigms (57)
Speech Recognition (55)
Risk Management (51)
Visual Question Answering (49)
Communication (35)
Motion Analysis (32)
Natural Language Inference (29)
Sentiment Analysis (19)
Representation (17)
Papers per year
1
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
ICML 2025
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
ICLR 2025
ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning
EMNLP 2025
ReTAG: Retrieval-Enhanced, Topic-Augmented Graph-Based Global Sensemaking
EMNLP 2025
RETAIL: Towards Real-world Travel Planning for Large Language Models
EMNLP 2025
Retaining and Enhancing Pre-Trained Knowledge in Vision-Language Models with Prompt Ensembling
WACV 2025
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation
CVPR 2025
Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives
ACL 2025
Retention Score: Quantifying Jailbreak Risks for Vision Language Models
AAAI 2025
Rethink GraphODE Generalization within Coupled Dynamical System
ICML 2025
Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding
ICML 2025
Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach
ICLR 2025
Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing Models
AAAI 2025
Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models
ICLR 2025
Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives
ICLR 2025
Rethinking Backdoor Detection Evaluation for Language Models
EMNLP 2025
Rethinking-based Code Summarization with Chain of Comments
COLING 2025
Rethinking Bimanual Robotic Manipulation: Learning with Decoupled Interaction Framework
ICCV 2025
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
AAAI 2025
Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
ICML 2025
Rethinking Chain-of-Thought from the Perspective of Self-Training
ICML 2025
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers
ICCV 2025
Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression
CVPR 2025
Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis
ICCV 2025
Rethinking Diverse Human Preference Learning through Principal Component Analysis
ACL 2025