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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)

Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval CVPR 2025 Recurrent Knowledge Identification and Fusion for Language Model Continual Learning ACL 2025 Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence AAAI 2025 Recursive Causal Discovery JMLR 2025 Recursive Question Understanding for Complex Question Answering over Heterogeneous Personal Data ACL 2025 Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? EMNLP 2025 ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization EMNLP 2025 RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification ACL 2025 RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers COLING 2025 ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ICLR 2025 Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation CVPR 2025 RedHerring Attack: Testing the Reliability of Attack Detection EMNLP 2025 RedHit: Adaptive Red-Teaming of Large Language Models via Search, Reasoning, and Preference Optimization ACL 2025 Red Queen: Exposing Latent Multi-Turn Risks in Large Language Models ACL 2025 Red-Teaming for Uncovering Societal Bias in Large Language Models ACL 2025 Red-Teaming LLM Multi-Agent Systems via Communication Attacks ACL 2025 Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering ICLR 2025 Reducing Leximin Fairness to Utilitarian Optimization AAAI 2025 Reducing Tool Hallucination via Reliability Alignment ICML 2025 Redundancy Principles for MLLMs Benchmarks ACL 2025 Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs ICML 2025 RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution EMNLP 2025 Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models ACL 2025 Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference NAACL 2025 Re-evaluating Open-ended Evaluation of Large Language Models ICLR 2025