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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)

What's New in My Data? Novelty Exploration via Contrastive Generation ICLR 2025 What’s Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs EMNLP 2025 What’s the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns ACL 2025 What’s the most important value? INVP: INvestigating the Value Priorities of LLMs through Decision-making in Social Scenarios COLING 2025 “What’s Up, Doc?”: Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets EMNLP 2025 What to align in multimodal contrastive learning? ICLR 2025 What to Predict? Exploring How Sentence Structure Influences Contrast Predictions in Humans and Large Language Models NAACL 2025 What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models NAACL 2025 What Would You Ask When You First Saw a2+b2=c2? Evaluating LLM on Curiosity-Driven Question Generation IJCNLP 2025 What You Have is What You Track: Adaptive and Robust Multimodal Tracking ICCV 2025 What You Read Isn’t What You Hear: Linguistic Sensitivity in Deepfake Speech Detection EMNLP 2025 What You See is What You Ask: Evaluating Audio Descriptions EMNLP 2025 When2Call: When (not) to Call Tools NAACL 2025 When Allies Turn Foes: Exploring Group Characteristics of LLM-Based Multi-Agent Collaborative Systems Under Adversarial Attacks EMNLP 2025 When and How Does CLIP Enable Domain and Compositional Generalization? ICML 2025 When and How to Augment Your Input: Question Routing Helps Balance the Accuracy and Efficiency of Large Language Models NAACL 2025 When Annotators Disagree, Topology Explains: Mapper, a Topological Tool for Exploring Text Embedding Geometry and Ambiguity EMNLP 2025 When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models EMNLP 2025 When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations ACL 2025 When Bad Data Leads to Good Models ICML 2025 When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs EMNLP 2025 When can in-context learning generalize out of task distribution? ICML 2025 When Can Proxies Improve the Sample Complexity of Preference Learning? ICML 2025 When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need ICML 2025 When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text ACL 2025