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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)

Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval ICLR 2025 Learning First-Order Logic Rules for Argumentation Mining ACL 2025 Learning for Layered Safety-Critical Control with Predictive Control Barrier Functions L4DC 2025 Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review ACL 2025 Learning from Diverse Reasoning Paths with Routing and Collaboration EMNLP 2025 Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation EMNLP 2025 Learning from Hallucinations: Mitigating Hallucinations in LLMs via Internal Representation Intervention IJCNLP 2025 Learning from Litigation: Graphs for Retrieval and Reasoning in eDiscovery ACL 2025 Learning from LLM Agents: In-Context Generative Models for Text Casing in E-Commerce Ads EMNLP 2025 Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction AAAI 2025 Learning from others’ mistakes: Finetuning machine translation models with span-level error annotations ICML 2025 Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies IJCNLP 2025 Learning from True-False Labels via Multi-modal Prompt Retrieving ICML 2025 Learning Fused State Representations for Control from Multi-View Observations ICML 2025 Learning Gaussian DAG Models without Condition Number Bounds ICML 2025 Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks AISTATS 2025 Learning Geometric Reasoning Networks For Robot Task And Motion Planning ICLR 2025 Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play JMLR 2025 Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling ICLR 2025 Learning Harmonized Representations for Speculative Sampling ICLR 2025 Learning Hierarchical Line Buffer for Image Processing ICCV 2025 Learning Hierarchical Task Knowledge for Planning AAAI 2025 Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning AISTATS 2025 Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis AISTATS 2025 Learning Interleaved Image-Text Comprehension in Vision-Language Large Models ICLR 2025