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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

From Detection to Explanation: Modeling Fine-Grained Emotional Social Influence Techniques with LLMs and Human Preferences EACL 2026 From Detection to Understanding: Multi-Turn Reasoning for Video Misinformation Analysis ACL 2026 From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026 From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation AAAI 2026 From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs ACL 2026 From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding CVPR 2026 From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication ACL 2026 From Form to Logic: Masked Reconstruction and Reasoning Distillation for Short Video Fake News Detection ACL 2026 From Global to Factor-Wise Expert Composition in Discrete Diffusion Models UAI 2026 From Graphs to Hypergraphs: Enhancing Aspect-Term Sentiment Analysis via Multi-Level Relational Modeling ACL 2026 From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs ACL 2026 From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation AAAI 2026 From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization AAAI 2026 From ID to LLM: Rethinking Representation Learning for Recommendation ACL 2026 From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization ACL 2026 From Indoor to Open World: Revealing the Spatial Reasoning Gap in MLLMs CVPR 2026 From Inheritance to Saturation: Disentangling the Evolution of Visual Redundancy for Architecture-Aware MLLM Inference Acceleration ACL 2026 From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models ACL 2026 From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation AAAI 2026 From Intuition to Investigation: A Tool-Augmented Reasoning MLLM Framework for Generalizable Face Anti-Spoofing CVPR 2026 From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts? ACL 2026 From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent ACL 2026 From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level ACL 2026 From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language ACL 2026 From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet WACV 2026