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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)

UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025 Uncertainty Propagation on LLM Agent ACL 2025 Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025 Uncertainty Quantification for Large Language Models ACL 2025 Uncertainty Quantification for LLM-Based Survey Simulations ICML 2025 Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models? ACL 2025 UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation EMNLP 2025 Uncommon Belief in Rationality AAAI 2025 UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective EMNLP 2025 Unconditionally Calibrated Priors for Beta Mixture Density Networks AISTATS 2025 Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models EMNLP 2025 UnCo: Uncertainty-Driven Collaborative Framework of Large and Small Models for Grounded Multimodal NER EMNLP 2025 Uncovering Argumentative Flow: A Question-Focus Discourse Structuring Framework EMNLP 2025 Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals NAACL 2025 Uncovering Cultural Representation Disparities in Vision-Language Models IJCNLP 2025 Uncovering Factor-Level Preference to Improve Human-Model Alignment EMNLP 2025 Uncovering Gaps in How Humans and LLMs Interpret Subjective Language ICLR 2025 Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy NAACL 2025 Uncovering Latent Memories in Large Language Models ICLR 2025 Uncovering the Bigger Picture: Comprehensive Event Understanding Via Diverse News Retrieval EMNLP 2025 Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQL ACL 2025 Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning ICML 2025 Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier AAAI 2025 Understanding Advertisements AAAI 2025 Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning IJCNLP 2025