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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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'25

Papers (including subtopics)

Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths ACL 2025 Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection ICCV 2025 Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation CVPR 2025 Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace COLING 2025 Parameter-Efficient Fine-Tuning of State Space Models ICML 2025 Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models NAACL 2025 Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models ICML 2025 PARAPHRASUS: A Comprehensive Benchmark for Evaluating Paraphrase Detection Models COLING 2025 ParaRev : Building a dataset for Scientific Paragraph Revision annotated with revision instruction COLING 2025 PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models CVPR 2025 Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025 Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging ICML 2025 Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms ICML 2025 ParGo: Bridging Vision-Language with Partial and Global Views AAAI 2025 PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model ICML 2025 PARQ: Piecewise-Affine Regularized Quantization ICML 2025 Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning EMNLP 2025 Parrot: Multilingual Visual Instruction Tuning ICML 2025 ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis AAAI 2025 PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction EMNLP 2025 PARSQL: Enhancing Text-to-SQL through SQL Parsing and Reasoning ACL 2025 PartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech Editing Interspeech 2025 Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting AAAI 2025 Partial Information Decomposition for Data Interpretability and Feature Selection AISTATS 2025 Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization AAAI 2025