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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)

FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation EMNLP 2024 Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting EMNLP 2024 Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations ICML 2024 Fora: A corpus and framework for the study of facilitated dialogue ACL 2024 Forced Exploration in Bandit Problems AAAI 2024 FORECAST2023: A Forecast and Reasoning Corpus of Argumentation Structures COLING 2024 Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations AAAI 2024 Forecasting of 3D Whole-body Human Poses with Grasping Objects CVPR 2024 Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection CVPR 2024 Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics ICML 2024 Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models ACL 2024 Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models EMNLP 2024 Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NeurIPS 2024 Formal Argumentation in Symbolic AI IJCAI 2024 Formalisation and Evaluation of Properties for Consequentialist Machine Ethics IJCAI 2024 Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge EMNLP 2024 Formal Logic Enabled Personalized Federated Learning through Property Inference AAAI 2024 Formal Verification of Parameterised Neural-symbolic Multi-agent Systems IJCAI 2024 Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024 Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use ACL 2024 Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024 Forward-Backward Reasoning in Large Language Models for Mathematical Verification ACL 2024 FoSp: Focus and Separation Network for Early Smoke Segmentation AAAI 2024 Fostering Collective Action in Complex Societies Using Community-Based Agents IJCAI 2024 Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family COLING 2024