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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)

Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information EMNLP 2024 Extreme Compression of Large Language Models via Additive Quantization ICML 2024 Extremely efficient online query encoding for dense retrieval NAACL 2024 Extremely Greedy Equivalence Search UAI 2024 Extreme Miscalibration and the Illusion of Adversarial Robustness ACL 2024 Extrinsic Evaluation of Cultural Competence in Large Language Models EMNLP 2024 Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning NeurIPS 2024 Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze EMNLP 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024 Eye-Tracking Features Masking Transformer Attention in Question-Answering Tasks COLING 2024 EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection NeurIPS 2024 EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection ACL 2024 FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition EMNLP 2024 FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio CVPR 2024 FaceCoresetNet: Differentiable Coresets for Face Set Recognition AAAI 2024 Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics WACV 2024 Faces that Speak: Jointly Synthesising Talking Face and Speech from Text CVPR 2024 FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System AAAI 2024 Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction CVPR 2024 Facilitating Multimodal Classification via Dynamically Learning Modality Gap NeurIPS 2024 Facilitating Opinion Diversity through Hybrid NLP Approaches NAACL 2024 Facility Location Problems with Capacity Constraints: Two Facilities and Beyond IJCAI 2024 Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI 2024 FactAlign: Fact-Level Hallucination Detection and Classification Through Knowledge Graph Alignment NAACL 2024