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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 What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models EMNLP 2025 Learning with contextual information in non-stationary environments L4DC 2025 Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data NAACL 2025 Learning with Linear Function Approximations in Mean-Field Control JMLR 2025 Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space AAAI 2025 Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement ICCV 2025 LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop EMNLP 2025 Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory ACL 2025 Learnware Specification via Label-Aware Neural Embedding AAAI 2025 Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization L4DC 2025 Learn Your Reference Model for Real Good Alignment ICLR 2025 LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint ACL 2025 LegalAgentBench: Evaluating LLM Agents in Legal Domain ACL 2025 Legal Fact Prediction: The Missing Piece in Legal Judgment Prediction EMNLP 2025 Legally validated evaluation framework for voice anonymization Interspeech 2025 Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning EMNLP 2025 LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation EMNLP 2025 LegalSim: Multi-Agent Simulation of Legal Systems for Discovering Procedural Exploits EMNLP 2025 LegalViz: Legal Text Visualization by Text To Diagram Generation NAACL 2025 LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets AAAI 2025 LEGION: Learning to Ground and Explain for Synthetic Image Detection ICCV 2025 Legitimate ground-truth-free metrics for deep uncertainty classification scoring AISTATS 2025 LEGO-Maker: A Semantic-Driven Algorithm for Text-to-3D Generation ICCV 2025 LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation ACL 2025 Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams ICML 2025