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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)

Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024 Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers EMNLP 2024 Fact Checking Beyond Training Set NAACL 2024 Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification ACL 2024 Fact-Driven Logical Reasoning for Machine Reading Comprehension AAAI 2024 FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation CVPR 2024 Factor-Conditioned Speaking-Style Captioning Interspeech 2024 Factored Online Planning in Many-Agent POMDPs AAAI 2024 FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NeurIPS 2024 Factorized Explainer for Graph Neural Networks AAAI 2024 Factorized Learning Assisted with Large Language Model for Gloss-free Sign Language Translation COLING 2024 FactorSim: Generative Simulation via Factorized Representation NeurIPS 2024 FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence ACL 2024 Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators ACL 2024 Factuality of Large Language Models: A Survey EMNLP 2024 FADES: Fair Disentanglement with Sensitive Relevance CVPR 2024 Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models ICML 2024 Fair Active Learning in Low-Data Regimes UAI 2024 Fair Allocation in Dynamic Mechanism Design NeurIPS 2024 Fair Allocation of Items in Multiple Regions AAAI 2024 Fair and Efficient Chore Allocation: Existence and Computation IJCAI 2024 Fair and Efficient Contribution Valuation for Vertical Federated Learning ICLR 2024 Fair and Optimal Prediction via Post-Processing AAAI 2024 Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NeurIPS 2024 FairBelief - Assessing Harmful Beliefs in Language Models NAACL 2024