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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 Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment EMNLP 2023 Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues CVPR 2023 Improving Fairness in Information Exposure by Adding Links AAAI 2023 Improving Fair Training under Correlation Shifts ICML 2023 Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering ACL 2023 Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting ACL 2023 Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques ACL 2023 Improving generalization in large langue model by learning prefix subspaces EMNLP 2023 Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints ACL 2023 Improving Image Captioning via Predicting Structured Concepts EMNLP 2023 Improving Input-label Mapping with Demonstration Replay for In-context Learning EMNLP 2023 Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations AAAI 2023 Improving Interpretability via Explicit Word Interaction Graph Layer AAAI 2023 Improving Joint Speech-Text Representations Without Alignment Interspeech 2023 Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding IJCAI 2023 Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary EMNLP 2023 Improving Long Dialogue Summarization with Semantic Graph Representation ACL 2023 Improving Long-Horizon Imitation through Instruction Prediction AAAI 2023 Improving Mathematics Tutoring With A Code Scratchpad ACL 2023 Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling ICML 2023 Improving multimodal datasets with image captioning NeurIPS 2023 Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation EMNLP 2023 Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting EMNLP 2023 Improving Pacing in Long-Form Story Planning EMNLP 2023 Improving Radiology Summarization with Radiograph and Anatomy Prompts ACL 2023