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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)

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge ICML 2025 Position: Explainable AI Cannot Advance Without Better User Studies ICML 2025 Position: Formal Mathematical Reasoning—A New Frontier in AI ICML 2025 Position: Future Research and Challenges Remain Towards AI for Software Engineering ICML 2025 Position: General Intelligence Requires Reward-based Pretraining ICML 2025 Position: Generative AI Regulation Can Learn from Social Media Regulation ICML 2025 Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks ICML 2025 Position: Human Baselines in Model Evaluations Need Rigor and Transparency (With Recommendations & Reporting Checklist) ICML 2025 Position: Humanity Faces Existential Risk from Gradual Disempowerment ICML 2025 Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models EMNLP 2025 Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI ICML 2025 Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks ICML 2025 Position: Language model developers should report train-test overlap ICML 2025 Position: LLMs Can be Good Tutors in English Education EMNLP 2025 Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning ICML 2025 Position: LLM Social Simulations Are a Promising Research Method ICML 2025 Position: Machine Learning Models Have a Supply Chain Problem ICML 2025 Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity ICML 2025 Position Paper: MeMo: Towards Language Models with Associative Memory Mechanisms ACL 2025 Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It ICML 2025 Position: Principles of Animal Cognition to Improve LLM Evaluations ICML 2025 Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025 Position: Rethinking Explainable Machine Learning as Applied Statistics ICML 2025 Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences ICML 2025 Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives ICML 2025