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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)

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models CVPR 2026 The Clinical Fingerprint: Comparing the Rhetorical Integrity and Epistemic Safety of Human Physicians and Large Language Models EACL 2026 The Coherence Trap: When MLLM-Crafted Narratives Exploit Manipulated Visual Contexts CVPR 2026 The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents ACL 2026 The Confidence Trap: Gender Bias and Predictive Certainty in LLMs AAAI 2026 The Confident Liar: Diagnosing Multi-Agent Debate with Log-Probabilities and LLM-as-Judge ACL 2026 The Correlation Between Emotion in Text and Speech Segments is Limited: A Cross-Modal Study EACL 2026 The Counterfactuals at SemEval-2026 Task 9: Can Counterfactually-Inspired Preprocessing help Detect Polarization? SemEval 2026 The Curse of Verbalization: How Presentation Order Constrains LLM Reasoning EACL 2026 The Data Frontier for Large Language Models: Selection, Synthesis, and Tools ACL 2026 The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning EACL 2026 The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic Truthfulness ACL 2026 The Doctor Will Agree With You Now: Sycophancy of Large Language Models in Multi-Turn Medical Conversations EACL 2026 The Dog the Cat Chased Stumped the Model: Measuring When Language Models Abandon Structure for Shortcuts EACL 2026 The Dominance of Text Space: Unveiling the Asymmetric Nature of Cross-Modal Alignment in Large Language Models ACL 2026 The Emotional Baby Is Truly Deadly: Does Your Multimodal Large Reasoning Model Have Emotional Flattery Towards Humans? AAAI 2026 The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All AAAI 2026 The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis ACL 2026 The Fixed-Point of Distrust: A Formal Theory of Perceived Systemic Incompetence AAAI 2026 The Future Is Neuro-Symbolic: Where Has It Been, and Where Is It Going? AAAI 2026 The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models ACL 2026 The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks AAAI 2026 The Generalised Kernel Covariance Measure CLeaR 2026 The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language Models CVPR 2026 The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models EACL 2026