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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)

PredMapNet: Future and Historical Reasoning for Consistent Online HD Vectorized Map Construction WACV 2026 Pref-CTRL: Preference Driven LLM Alignment using Representation Editing ACL 2026 Preference Elicitation for Step-Wise Explanations in Logic Puzzles AAAI 2026 Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization ACL 2026 Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback AAAI 2026 Preference Optimization via Contrastive Divergence: Your Policy Is Secretly an NLL Estimator AAAI 2026 Preference Robustness for DPO with Applications to Public Health AAAI 2026 Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models CVPR 2026 PrefixGPT: Prefix Adder Optimization by a Generative Pre-trained Transformer AAAI 2026 PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise ACL 2026 Prefix Parsing is Just Parsing ACL 2026 Presentation Slide Translation and Layout Error Correction by LLMs ACL 2026 Preserving Compositionality for Robust Multi-Subject Personalization in Text-to-Image Generation UAI 2026 Presupposition and Reasoning in Conditionals: A Theory-Based Study of Humans and LLMs CoNLL 2026 Pre-Trained Video Generative Models as World Simulators AAAI 2026 PriAgent: A Collaborative Multi-Agent Framework for Auditing Android Privacy Compliance AAAI 2026 Pricing Online LLM Services with Data-Calibrated Stackelberg Routing Game AAAI 2026 PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering ACL 2026 Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation CVPR 2026 PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning AAAI 2026 PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint) AAAI 2026 PRIMU: Uncertainty Estimation for Novel Views in Gaussian Splatting from Primitive-Based Representations of Error and Coverage CVPR 2026 Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms AAAI 2026 Principled Steering via Null-space Projection for Jailbreak Defense in Vision-Language Models CVPR 2026 Principles2Plan: LLM-Guided System for Operationalising Ethical Principles into Plans AAAI 2026