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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)

FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection IJCAI 2024 Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract) AAAI 2024 Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks ICML 2024 FairRR: Pre-Processing for Group Fairness through Randomized Response AISTATS 2024 Fair Secretaries with Unfair Predictions NeurIPS 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models ICLR 2024 Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach EMNLP 2024 Faithful Chart Summarization with ChaTS-Pi ACL 2024 Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals ICLR 2024 Faithful graphical representations of local independence AISTATS 2024 Faithful Logical Reasoning via Symbolic Chain-of-Thought ACL 2024 Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024 Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations EMNLP 2024 Faithfulness Measurable Masked Language Models ICML 2024 Faithful Persona-based Conversational Dataset Generation with Large Language Models ACL 2024 Faithful Rule Extraction for Differentiable Rule Learning Models ICLR 2024 Faithful Vision-Language Interpretation via Concept Bottleneck Models ICLR 2024 FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models EMNLP 2024 Fake Alignment: Are LLMs Really Aligned Well? NAACL 2024 FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024 FAME: Towards Factual Multi-Task Model Editing EMNLP 2024 Familiar and Unfamiliar Speaker Identification in Speech and Singing Interspeech 2024 FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning EMNLP 2024 FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models ACL 2024