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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)

Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better CVPR 2025 Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues AAAI 2025 TrackVLA: Embodied Visual Tracking in the Wild CoRL 2025 Tracr-Injection: Distilling Algorithms into Pre-trained Language Models ACL 2025 Tractable Multi-Agent Reinforcement Learning through Behavioral Economics ICLR 2025 TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge ACL 2025 Trade-Offs Between Information and Crowding in Sequential Decisions (Student Abstract) AAAI 2025 Trade-offs in Data Memorization via Strong Data Processing Inequalities COLT 2025 Trading Off Voting Axioms for Privacy UAI 2025 TraF-Align: Trajectory-aware Feature Alignment for Asynchronous Multi-agent Perception CVPR 2025 Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios AAAI 2025 TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025 Train a Unified Multimodal Data Quality Classifier with Synthetic Data EMNLP 2025 Training a Generally Curious Agent ICML 2025 Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning AAAI 2025 Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025 Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025 Training-Free Activation Sparsity in Large Language Models ICLR 2025 Training-Free Diffusion Model Alignment with Sampling Demons ICLR 2025 Training Free Exponential Context Extension via Cascading KV Cache ICLR 2025 Training-free Generation of Temporally Consistent Rewards from VLMs ICCV 2025 Training Free Guided Flow-Matching with Optimal Control ICLR 2025 Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights CVPR 2025 Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching AAAI 2025 Training-Free Personalization via Retrieval and Reasoning on Fingerprints ICCV 2025