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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)

Fostering Trustworthiness in Machine Learning Algorithms AAAI 2024 Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation EMNLP 2024 Foundation Model Assisted Weakly Supervised Semantic Segmentation WACV 2024 Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models ICLR 2024 FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects CVPR 2024 Foundations of Autonomous Vehicles: A Curriculum Model for Developing Competencies in Artificial Intelligence and the Internet of Things for Grades 7–10 AAAI 2024 Foundations of Multivariate Distributional Reinforcement Learning NeurIPS 2024 Foundations of Reactive Synthesis for Declarative Process Specifications AAAI 2024 Foundations of Testing for Finite-Sample Causal Discovery ICML 2024 Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ACL 2024 Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding NeurIPS 2024 Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models NAACL 2024 FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning AAAI 2024 Fractal Patterns May Illuminate the Success of Next-Token Prediction NeurIPS 2024 Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing AAAI 2024 FragRel: Exploiting Fragment-level Relations in the External Memory of Large Language Models ACL 2024 Framed Multi30K: A Frame-Based Multimodal-Multilingual Dataset COLING 2024 FrameQuant: Flexible Low-Bit Quantization for Transformers ICML 2024 Frame-Wise Breath Detection with Self-Training: An Exploration of Enhancing Breath Naturalness in Text-to-Speech Interspeech 2024 Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis IJCAI 2024 FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion ICML 2024 FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation ACL 2024 FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition CVPR 2024 FreeDrag: Feature Dragging for Reliable Point-based Image Editing CVPR 2024 FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models EMNLP 2024