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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)

The Illusion of Specialization: Unveiling the Domain-Invariant "Standing Committee" in Mixture-of-Experts Models ACL 2026 The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation CVPR 2026 The Imperfective Paradox in Large Language Models ACL 2026 The “Knowledge–Behavior Gap” in Cultural Taboo Safety of Large Language Models ACL 2026 The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition CVPR 2026 The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challenge MIDL 2026 The Minimal Search Space for Conditional Causal Bandits UAI 2026 Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning AAAI 2026 Themis: Detecting Distributed Concurrency Bugs through RPC-Driven Race-Directed Test Generation and Fuzzing NSDI 2026 THE MORE, THE MERRIER: CONTRASTIVE FUSION FOR HIGHER-ORDER MULTIMODAL ALIGNMENT CVPR 2026 Theory-of-Mind in Partially Observed, Mixed-Motive Games AAAI 2026 Theory-optimal Quantization Based on Flatness ACL 2026 The Other Mind: How Language Models Exhibit Human Temporal Cognition AAAI 2026 The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs ACL 2026 The Path Not Taken: Duality in Reasoning about Program Execution ACL 2026 The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs WACV 2026 The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs ACL 2026 The Pitfalls of KV Cache Compression ACL 2026 The Pluralistic Moral Gap: Understanding Moral Judgment and Value Differences between Humans and Large Language Models EACL 2026 The Power of Decaying Steps: Enhancing Attack Stability and Transferability for Sign-based Optimizers CVPR 2026 The Power of Initial Investigation in Audit Games AAAI 2026 The Power of Prior: Training-Free Open-Vocabulary Semantic Segmentation with LLaVA CVPR 2026 The Pragmatic Mind of Machines: Tracing the Emergence of Pragmatic Competence in Large Language Models EACL 2026 The Price of Thought: A Multilingual Analysis of Reasoning, Performance, and Cost of Negotiation in Large Language Models EACL 2026 The Price of Valid Inference After Causal Discovery UAI 2026