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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)

Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation ACL 2026 Interpreto: An Explainability Library for Transformers ACL 2026 InterRVOS: Interaction-Aware Referring Video Object Segmentation CVPR 2026 Intervening to learn and compose causally disentangled representations CLeaR 2026 Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies AAAI 2026 Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries ACL 2026 Intra-class Distribution-guided Generative Hashing with Neighbor Refinement for Cross-modal Retrieval CVPR 2026 Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026 IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review ACL 2026 InTrain: Intrinsic Trainability for Zero-Cost Neural Architecture Search CVPR 2026 Intrinsic Barriers and Practical Pathways for Human–AI Alignment: An Agreement-Based Complexity Analysis AAAI 2026 Intrinsic Concept Extraction Based on Compositional Interpretability CVPR 2026 Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification AAAI 2026 Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding AAAI 2026 IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework CVPR 2026 InvAD: Inversion-based Reconstruction-Free Anomaly Detection with Diffusion Models CVPR 2026 Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026 Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications ACL 2026 Investigating Counterfactual Unfairness in LLMs towards Identities through Humor ACL 2026 Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters ACL 2026 Investigating Data Pruning for Pretraining Biological Foundation Models at Scale AAAI 2026 Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health EACL 2026 Investigating More Explainable and Partition-Free Compositionality Estimation for LLMs: A Rule-Generation Perspective ACL 2026 Investigating Prosocial Behavior Theory in LLM Agents Under Policy-Induced Inequities AAAI 2026 Investigating Self-Supervised Representations for Audio-Visual Deepfake Detection CVPR 2026