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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)

On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex EACL 2023 On Sample-Efficient Code Generation EMNLP 2023 On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning ACL 2023 On Sparse Modern Hopfield Model NeurIPS 2023 On Tackling Explanation Redundancy in Decision Trees (Extended Abstract) IJCAI 2023 On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval EMNLP 2023 On Testing and Learning Quantum Junta Channels COLT 2023 On Text-based Personality Computing: Challenges and Future Directions ACL 2023 On the Adversarial Robustness of Out-of-distribution Generalization Models NeurIPS 2023 On the Audio-visual Synchronization for Lip-to-Speech Synthesis ICCV 2023 On the Benefits of Self-supervised Learned Speech Representations for Predicting Human Phonetic Misperceptions Interspeech 2023 On the Blind Spots of Model-Based Evaluation Metrics for Text Generation ACL 2023 On the Calibration of Large Language Models and Alignment EMNLP 2023 On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research EMNLP 2023 On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects AAAI 2023 On the Compilability of Bounded Numeric Planning IJCAI 2023 On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring COLT 2023 On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results JMLR 2023 On the Compositional Generalization in Versatile Open-domain Dialogue ACL 2023 On the Convergence of No-Regret Learning Dynamics in Time-Varying Games NeurIPS 2023 On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters ICML 2023 On the Correspondence between Compositionality and Imitation in Emergent Neural Communication ACL 2023 On the Cost of Demographic Parity in Influence Maximization AAAI 2023 On the Difference of BERT-style and CLIP-style Text Encoders ACL 2023 On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer CVPR 2023