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)
Unveiling AI’s Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
ICML 2025
Unveiling and Addressing Pseudo Forgetting in Large Language Models
ACL 2025
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
ACL 2025
Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion
Interspeech 2025
Unveiling Confirmation Bias in Chain-of-Thought Reasoning
ACL 2025
Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension
ACL 2025
Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis
COLING 2025
Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio
EMNLP 2025
Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability
COLING 2025
Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders
ACL 2025
Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning
ICML 2025
Unveiling Maternity and Infant Care Conversations: A Chinese Dialogue Dataset for Enhanced Parenting Support
IJCAI 2025
Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency
EMNLP 2025
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion
AAAI 2025
Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective
COLING 2025
Unveiling Privacy Risks in LLM Agent Memory
ACL 2025
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
ACL 2025
Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly
CVPR 2025
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
AAAI 2025
Unveiling the Influence of Amplifying Language-Specific Neurons
IJCNLP 2025
Unveiling the Invisible: Reasoning Complex Occlusions Amodally with AURA
ICCV 2025
Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation
AAAI 2025
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
ICLR 2025
Unveiling the Mist over 3D Vision-Language Understanding: Object-centric Evaluation with Chain-of-Analysis
CVPR 2025
Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens
EMNLP 2025