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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)

Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies AAAI 2023 WebIE: Faithful and Robust Information Extraction on the Web ACL 2023 Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness Classification EMNLP 2023 Weighted Clock Logic Point Process ICLR 2023 Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality ICML 2023 We’re Afraid Language Models Aren’t Modeling Ambiguity EMNLP 2023 Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games ACL 2023 What about “em”? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns ACL 2023 What Can Human Sketches Do for Object Detection? CVPR 2023 What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks NeurIPS 2023 What Can We Learn from Unlearnable Datasets? NeurIPS 2023 What Do Deep Saliency Models Learn about Visual Attention? NeurIPS 2023 What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric ACL 2023 What Does BERT actually Learn about Event Coreference? Probing Structural Information in a Fine-Tuned Dutch Language Model EACL 2023 What does CLIP know about a red circle? Visual prompt engineering for VLMs ICCV 2023 What Does Your Face Sound Like? 3D Face Shape towards Voice AAAI 2023 What Do NLP Researchers Believe? Results of the NLP Community Metasurvey ACL 2023 What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes AAAI 2023 What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning ACL 2023 What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization NeurIPS 2023 What is the best recipe for character-level encoder-only modelling? ACL 2023 What is the Real Intention behind this Question? Dataset Collection and Intention Classification ACL 2023 What is Wrong with Language Models that Can Not Tell a Story? ACL 2023 What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation ACL 2023 What Makes a Good Counter-Stereotype? Evaluating Strategies for Automated Responses to Stereotypical Text ACL 2023