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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)

Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination SemEval 2024 Comprehensive Abstractive Comment Summarization with Dynamic Clustering and Chain of Thought ACL 2024 Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector ECCV 2024 Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation ICML 2024 Compressing Large Language Models by Joint Sparsification and Quantization ICML 2024 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024 Compressing LLMs: The Truth is Rarely Pure and Never Simple ICLR 2024 Compromesso! Italian Many-Shot Jailbreaks undermine the safety of Large Language Models ACL 2024 Computational Argumentation: Reasoning, Dynamics, and Supporting Explainability IJCAI 2024 Computational Aspects of Bayesian Persuasion under Approximate Best Response NeurIPS 2024 Computational Linguistics for Brain Encoding and Decoding: Principles, Practices and Beyond ACL 2024 Computational Meme Understanding: A Survey EMNLP 2024 Computational Morphology and Lexicography Modeling of Modern Standard Arabic Nominals EACL 2024 Computation-Aware Learning for Stable Control with Gaussian Process RSS 2024 Computation with Sequences of Assemblies in a Model of the Brain ALT 2024 Compute Better Spent: Replacing Dense Layers with Structured Matrices ICML 2024 Computer Vision on the Edge: Individual Cattle Identification in Real-Time With ReadMyCow System WACV 2024 Computing Low-Entropy Couplings for Large-Support Distributions UAI 2024 Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints AAAI 2024 Computing Optimal Equilibria in Repeated Games with Restarts IJCAI 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NeurIPS 2024 Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024 Concept-Best-Matching: Evaluating Compositionality In Emergent Communication ACL 2024 Concept-Centric Transformers: Enhancing Model Interpretability Through Object-Centric Concept Learning Within a Shared Global Workspace WACV 2024