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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)

Proofbusters at SemEval-2026 Task 11: Neuro-Symbolic Syllogistic Reasoning via LLM-Guided Structure Extraction and Deterministic Validation SemEval 2026 Proof-of-Perception: Certified Tool-Using Multimodal Reasoning with Compositional Conformal Guarantees CVPR 2026 Property-Informed Diffusion-Based Text-to-Microstructure Generation CVPR 2026 PropGenie: A Multi-Agent Conversational Framework for Real Estate Assistance EACL 2026 Pro-QuEST: A Prompt-chain based Quiz Engine for testing Specialized Technical Product Knowledge EACL 2026 ProRec-Video: Guiding Hierarchical Interest Transitions for Proactive Short Video Recommendation with Dynamic Feedback Adaptation AAAI 2026 ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract) AAAI 2026 ProSoftArena: Benchmarking Hierarchical Capabilities of Multi-modal Agents in Professional Software Environments CVPR 2026 PROTEA: Offline Evaluation and Iterative Refinement for Multi-Agent LLM Workflows ACL 2026 Protecting Bystander Privacy via Selective Hearing in Audio LLMs ACL 2026 Protecting Language Models Against Unauthorized Distillation through Trace Rewriting ACL 2026 Protecting multimodal large language models against misleading visualizations ACL 2026 Protego: User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint Exposure CVPR 2026 ProtoGMVAE: A Variational Auto-Encoder with True Gaussian Mixture Prior for Prototypical-based Self-Explainability WACV 2026 Prototype-as-Prompt: Multimodal Sentiment Prototypes Endowing Large Language Models the Capability to Perform Multimodal Sentiment Analysis CVPR 2026 Prototype Entropy Alignment: Reinforcing Structured Uncertainty in LLM Reasoning AAAI 2026 Prototype-Guided Concept Erasure in Diffusion Models CVPR 2026 Prototypical Action Reasoning Facilitated by Vision-Language Alignment for Egocentric Action Anticipation CVPR 2026 ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders AAAI 2026 Provable Subspace Identification of Nonlinear Multi-view CCA UAI 2026 Provably Efficient Personalized Multi-Objective Bandits with Proactive Conversational Queries UAI 2026 Provably Efficient Reinforcement Learning in Continuous-Time Episodic MDPs with Poisson Decision Epochs UAI 2026 Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement ACL 2026 Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator UAI 2026 Proximal Policy Optimization Suffices for On-Policy Reinforcement Learning UAI 2026