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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)

Improving Multimodal Learning Balance and Sufficiency through Data Remixing ICML 2025 Improving Multimodal Learning via Imbalanced Learning ICCV 2025 Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation AAAI 2025 Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AAAI 2025 Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL EMNLP 2025 Improving Online Job Advertisement Analysis via Compositional Entity Extraction EMNLP 2025 Improving Out-of-Distribution Detection via Dynamic Covariance Calibration ICML 2025 Improving Out-of-Distribution Detection with Markov Logic Networks ICML 2025 Improving Out-of-distribution Human Activity Recognition via IMU-Video Cross-modal Representation Learning MLHC 2025 Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces ICML 2025 Improving Parallel Sentence Mining for Low-Resource and Endangered Languages ACL 2025 Improving Preference Alignment of LLM with Inference-Free Self-Refinement EMNLP 2025 Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes ACL 2025 Improving Pre-trained Language Models with Knowledge Enhancement and Filtering Framework NAACL 2025 Improving Rationality in the Reasoning Process of Language Models through Self-playing Game ICML 2025 Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information EMNLP 2025 Improving Reasoning Performance in Large Language Models via Representation Engineering ICLR 2025 Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles Interspeech 2025 Improving Retrieval Augmented Language Model with Self-Reasoning AAAI 2025 Improving Retrospective Language Agents via Joint Policy Gradient Optimization NAACL 2025 Improving Reward Models with Synthetic Critiques NAACL 2025 Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations EMNLP 2025 Improving Semantic Understanding in Speech Language Models via Brain-tuning ICLR 2025 Improving Sentiment Analysis for Ukrainian Social Media Code-Switching Data ACL 2025 Improving Sound Source Localization with Joint Slot Attention on Image and Audio CVPR 2025