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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)

Improve Molecular Conformation Modeling with Geometric Deep Learning AAAI 2026 Improving Adversarial Transferability with Local Perturbation Augmentation CVPR 2026 Improving Autoformalization Using Direct Dependency Retrieval ACL 2026 Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining CVPR 2026 Improving CAPTCHA Robustness via Controlled Image Corruptions (Student Abstract) AAAI 2026 Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention EACL 2026 Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation AAAI 2026 Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping AAAI 2026 Improving Generative Methods for Causal Evaluation via Simulation-Based Inference CLeaR 2026 Improving Language Identification for Code-Switched Speech: The Pivotal Role of Accented English EACL 2026 Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration AAAI 2026 Improving LLM Domain Certification with Pretrained Guide Models EACL 2026 Improving Long-Context Translation via Self-Supervised Dual Learning ACL 2026 Improving Out-of-Distribution Detection Using Segmented Images and Cross-View Attention Fusion WACV 2026 Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment UAI 2026 Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization ACL 2026 Improving Sparse Autoencoder with Dynamic Attention CVPR 2026 Improving TabPFN’s Synthetic Data Generation by Integrating Causal Structure UAI 2026 Improving the Distributional Alignment of LLMs using Supervision ACL 2026 Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging EACL 2026 Improving Value-based Process Verifier via Low-Cost Variance Reduction AAAI 2026 Improving Vision-language Models with Perception-centric Process Reward Models CVPR 2026 Improvise, Adapt, Overcome -- Telescopic Adapters for Efficient Fine-tuning of Vision Language Models in Medical Imaging WACV 2026 ImReasoner: Improving Memory-based Language Models for Reasoning-in-a-Haystack Tasks ACL 2026 IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation EACL 2026