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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)

Demystifying Domain-adaptive Post-training for Financial LLMs EMNLP 2025 Demystifying Long Chain-of-Thought Reasoning ICML 2025 Demystifying Multilingual Reasoning in Process Reward Modeling EMNLP 2025 Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts ICLR 2025 Demystifying optimized prompts in language models EMNLP 2025 Demystifying Singular Defects in Large Language Models ICML 2025 Demystifying Small Language Models for Edge Deployment ACL 2025 Demystifying the Power of Large Language Models in Graph Generation NAACL 2025 Demystify Verbosity Compensation Behavior of Large Language Models EMNLP 2025 Dendritic Localized Learning: Toward Biologically Plausible Algorithm ICML 2025 Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration AAAI 2025 Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations L4DC 2025 DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding ICLR 2025 DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025 DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models NAACL 2025 Density Ratio-based Proxy Causal Learning Without Density Ratios AISTATS 2025 Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models ACL 2025 Dependent Randomized Rounding for Budget Constrained Experimental Design UAI 2025 DependEval: Benchmarking LLMs for Repository Dependency Understanding ACL 2025 Deploying Multi-task Online Server with Large Language Model COLING 2025 Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices EMNLP 2025 DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment AAAI 2025 Depression Detection on Social Media with Large Language Models EMNLP 2025 DepthCues: Evaluating Monocular Depth Perception in Large Vision Models CVPR 2025 DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis AAAI 2025