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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
'5
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'25

Papers (including subtopics)

When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection ACL 2026 When Privacy Meets Recovery: The Overlooked Half of Surrogate-Driven Privacy Preservation for MLLM Editing AAAI 2026 When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models EACL 2026 When Proxy Agents Disagree, Do Humans Mirror? Manipulating Human Behavior in Moral Dilemmas Through Agents AAAI 2026 When Reasoning Collapses: A Depth-Aware Probe into LLM Reasoning (Student Abstract) AAAI 2026 When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models CVPR 2026 When Robots Should Say ''I Don't Know'': Benchmarking Abstention in Embodied Question Answering CVPR 2026 When Safe Unimodal Inputs Collide: Optimizing Reasoning Chains for Cross-Modal Safety in Multimodal Large Language Models AAAI 2026 When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMs ACL 2026 When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models ACL 2026 When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs’ Toxicity AAAI 2026 When Speed Meets Intelligence: Scalable Conversational NER in an Ever-evolving World EACL 2026 When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables ACL 2026 When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital AAAI 2026 When the Model Said ‘No Comment’, We Knew Helpfulness Was Dead, Honesty Was Alive, and Safety Was Terrified EACL 2026 When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs CVPR 2026 When Top-ranked Recommendations Fail: Modeling Multi-Granular Negative Feedback for Explainable and Robust Video Recommendation AAAI 2026 When to Think and When to Look: Uncertainty-Guided Lookback CVPR 2026 When transformers learn “impossible” languages, what do they learn? CoNLL 2026 When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models AAAI 2026 When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm CVPR 2026 When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias ACL 2026 When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought CVPR 2026 When Words Wear Masks: Detecting Malicious Intents and Hostile Impacts of Online Hate Speech EACL 2026 Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning AAAI 2026