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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)

Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning AAAI 2025 Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh CVPR 2025 ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation CoRL 2025 ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks ICLR 2025 MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects CVPR 2025 MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Action Anticipation CVPR 2025 Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models RSS 2025 Manual-PA: Learning 3D Part Assembly from Instruction Diagrams ICCV 2025 ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework EMNLP 2025 Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System ACL 2025 MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models ICML 2025 MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert AAAI 2025 MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale AAAI 2025 MAPLE: A Framework for Active Preference Learning Guided by Large Language Models AAAI 2025 MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning ICML 2025 Map&Make: Schema Guided Text to Table Generation ACL 2025 MAP: Multi-Human-Value Alignment Palette ICLR 2025 MapNav: A Novel Memory Representation via Annotated Semantic Maps for VLM-based Vision-and-Language Navigation ACL 2025 MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning ACL 2025 Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models AAAI 2025 Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates EMNLP 2025 Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLMs EMNLP 2025 MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA Datasets ACL 2025 MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science ICLR 2025 Map Space Belief Prediction for Manipulation-Enhanced Mapping RSS 2025