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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)

HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions ACL 2026 Hospitality-VQA: Decision-Oriented Informativeness Evaluation for Vision–Language Models EACL 2026 HotelQuEST: Balancing Quality and Efficiency in Agentic Search EACL 2026 HouseTune: Two-Stage Floorplan Generation with LLM Assistance AAAI 2026 Howard University-AI4PC at SemEval-2026 Task 1: Exploring Prompt Strategies for Automatic Humor Generation SemEval 2026 Howard University-AI4PC at SemEval-2026 Task 7: Culturally Aware Multilingual Model Routing Through a Mixture-of-Specialists Framework SemEval 2026 Howard University-AI4PC at SemEval-2026 Task 8: Query Reformulation and Dense-Lexical Retrieval Fusion for Multi-Turn Retrieval-Augmented Generation SemEval 2026 How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias AAAI 2026 How Context Shapes Truth: Geometric Transformations of Statement-level Truth Representations in LLMs ACL 2026 How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities ACL 2026 How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective AAAI 2026 How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding AAAI 2026 How Does LLM-powered Coding Assistance Shape Incidental Learning? Exploring Cognitive Forcing Strategies in Programming Education AAAI 2026 How Do Inpainting Artifacts Propagate to Language? ACL 2026 How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study ACL 2026 How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective EACL 2026 How do Role Models Shape Collective Morality? Exemplar-Driven Moral Learning in Multi-Agent Simulation ACL 2026 How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers? EACL 2026 How Far Can We Go With Synthetic Data for Audio-Visual Sound Source Localization? CVPR 2026 How Foundational Skills Influence VLM-based Embodied Agents: A Native Perspective AAAI 2026 How Good Are LLMs at Processing Tool Outputs? EACL 2026 How Hard Is It to Explain Preferences Using Few Boolean Attributes? AAAI 2026 How Hard is Math? Using Quantitative Metrics to Measure LLM Alignment to Human Intuitions of Difficulty ACL 2026 How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients ACL 2026 How Long Reasoning Chains Influence LLMs’ Judgment of Answer Factuality ACL 2026