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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Dissecting Persona-Driven Reasoning in Language Models via Activation Patching EMNLP 2025 Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies ICML 2025 Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms ICML 2025 Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs ACL 2025 Distances Between Top-Truncated Elections of Different Sizes AAAI 2025 DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion ICCV 2025 Distillation Scaling Laws ICML 2025 DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model ICCV 2025 Distilled Prompt Learning for Incomplete Multimodal Survival Prediction CVPR 2025 Distilling an End-to-End Voice Assistant Without Instruction Training Data ACL 2025 Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey RSS 2025 Distilling Cross-Modal Knowledge into Domain-Specific Retrievers for Enhanced Industrial Document Understanding EMNLP 2025 Distilling Multi-modal Large Language Models for Autonomous Driving CVPR 2025 Distilling On-device Language Models for Robot Planning with Minimal Human Intervention CoRL 2025 Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning ICLR 2025 Distilling Rule-based Knowledge into Large Language Models COLING 2025 Distilling the Knowledge in Data Pruning ICML 2025 DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs ICML 2025 Distill Visual Chart Reasoning Ability from LLMs to MLLMs EMNLP 2025 DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models ACL 2025 DisTime: Distribution-based Time Representation for Video Large Language Models ICCV 2025 DistinctAD: Distinctive Audio Description Generation in Contexts CVPR 2025 Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment NAACL 2025 Distraction is All You Need for Multimodal Large Language Model Jailbreaking CVPR 2025 Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning ICML 2025