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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
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs EMNLP 2025 When Selection Meets Intervention: Additional Complexities in Causal Discovery ICLR 2025 When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? AAAI 2025 When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models ACL 2025 When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning EMNLP 2025 When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract) AAAI 2025 WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of Multimodal Large Language Models in Cultural Mixture Contexts NAACL 2025 When to Speak, When to Abstain: Contrastive Decoding with Abstention ACL 2025 When Truthful Representations Flip Under Deceptive Instructions? EMNLP 2025 When Visual State Space Model Meets Backdoor Attacks WACV 2025 When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning AAAI 2025 When Words Smile: Generating Diverse Emotional Facial Expressions from Text EMNLP 2025 Where am I? Cross-View Geo-localization with Natural Language Descriptions ICCV 2025 Where Are We? Evaluating LLM Performance on African Languages ACL 2025 Where Confabulation Lives: Latent Feature Discovery in LLMs EMNLP 2025 Where Did That Come From? Sentence-Level Error-Tolerant Attribution EMNLP 2025 Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025 “Where Does This Strange Smell Come from?”: Enabling Conversational Interfaces for Artificial Olfaction EMNLP 2025 Where do LLMs Encode the Knowledge to Assess the Ambiguity? COLING 2025 Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases EMNLP 2025 Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model NAACL 2025 Where is the Truth? The Risk of Getting Confounded in a Continual World ICML 2025 Where is this coming from? Making groundedness count in the evaluation of Document VQA models NAACL 2025 Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content CVPR 2025 Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning EMNLP 2025