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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
'10
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'25

Papers (including subtopics)

Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation CVPR 2025 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025 Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning ACL 2025 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 MixANT: Observation-dependent Memory Propagation for Stochastic Dense Action Anticipation ICCV 2025 Mixed-Curvature Multi-Modal Knowledge Graph Completion AAAI 2025 Mixed Patch Visible-Infrared Modality Agnostic Object Detection WACV 2025 Mixed Signals: Decoding VLMs’ Reasoning and Underlying Bias in Vision-Language Conflict EMNLP 2025 Mixed Signals: Understanding Model Disagreement in Multimodal Empathy Detection IJCNLP 2025 MixEval-X: Any-to-any Evaluations from Real-world Data Mixture ICLR 2025 Mixing Inference-time Experts for Enhancing LLM Reasoning EMNLP 2025 Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN ICLR 2025 MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora EMNLP 2025 MixMin: Finding Data Mixtures via Convex Minimization ICML 2025 Mixture Compressor for Mixture-of-Experts LLMs Gains More ICLR 2025 Mixture-of-Agents Enhances Large Language Model Capabilities ICLR 2025 Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models ACL 2025 Mixture of Experts Made Intrinsically Interpretable ICML 2025 Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models ICLR 2025 Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment ACL 2025 Mixture of Knowledge Minigraph Agents for Literature Review Generation AAAI 2025 Mixture of Length and Pruning Experts for Knowledge Graphs Reasoning EMNLP 2025 Mixture of Lookup Experts ICML 2025 Mixture of Multimodal Adapters for Sentiment Analysis NAACL 2025 Mixture of Ordered Scoring Experts for Cross-prompt Essay Trait Scoring ACL 2025