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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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'25

Papers (including subtopics)

Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations NAACL 2025 BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning ICCV 2025 Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models EMNLP 2025 Backdoor Attack on Propagation-based Rumor Detectors AAAI 2025 Backdoor Attacks in Token Selection of Attention Mechanism ICML 2025 Backdoor Attacks on Neural Networks via One-Bit Flip ICCV 2025 Backdoor Defense via Enhanced Splitting and Trap Isolation ICCV 2025 Backdooring Self-Supervised Contrastive Learning by Noisy Alignment ICCV 2025 Backdooring Vision-Language Models with Out-Of-Distribution Data ICLR 2025 Backdoor Mitigation by Distance-Driven Detoxification ICCV 2025 Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods EMNLP 2025 Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models AAAI 2025 BackMATH: Towards Backward Reasoning for Solving Math Problems Step by Step COLING 2025 BackSlash: Rate Constrained Optimized Training of Large Language Models ICML 2025 Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters L4DC 2025 BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism EMNLP 2025 Backtracking Improves Generation Safety ICLR 2025 BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs CVPR 2025 Bad AI, Good AI: Rethinking the Agency of Our Artificial Teammates AAAI 2025 BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge ICLR 2025 BadRobot: Jailbreaking Embodied LLM Agents in the Physical World ICLR 2025 BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models CVPR 2025 BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation ICCV 2025 Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety EMNLP 2025 Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better IJCAI 2025