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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)

Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations ICLR 2025 Intrinsic Linguistic Bias in Formal vs. Informal Bengali Pragmatics with Progressive Context Inflation IJCNLP 2025 Intrinsic Model Weaknesses: How Priming Attacks Unveil Vulnerabilities in Large Language Models NAACL 2025 Intrinsic Test of Unlearning Using Parametric Knowledge Traces EMNLP 2025 Intrinsic User-Centric Interpretability through Global Mixture of Experts ICLR 2025 Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining ACL 2025 Introducing MARB — A Dataset for Studying the Social Dimensions of Reporting Bias in Language Models ACL 2025 Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correction ACL 2025 Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents EMNLP 2025 Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks ACL 2025 IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features ICCV 2025 Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process ACL 2025 Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning ICML 2025 Invariant Shape Representation Learning for Image Classification WACV 2025 Invariant Subspace Decomposition JMLR 2025 Inverse Attention Agents for Multi-Agent Systems ICLR 2025 InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct AAAI 2025 Inverse Constitutional AI: Compressing Preferences into Principles ICLR 2025 Inverse Game Theory: An Incenter-Based Approach IJCAI 2025 Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States AISTATS 2025 Inverse problems with experiment-guided AlphaFold ICML 2025 Inverse Reinforcement Learning by Estimating Expertise of Demonstrators AAAI 2025 Inverse Reinforcement Learning Meets Large Language Model Alignment ACL 2025 InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes Under Herd Behavior ACL 2025 InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma ICLR 2025