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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)

Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models EMNLP 2024 Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models ECCV 2024 Decision boundary learning for safe vision-based navigation via Hamilton-Jacobi reachability analysis and support vector machine L4DC 2024 Decision-Focused Evaluation of Worst-Case Distribution Shift UAI 2024 Decision-Focused Model-based Reinforcement Learning for Reward Transfer MLHC 2024 Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context NeurIPS 2024 Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NeurIPS 2024 Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NeurIPS 2024 DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers NAACL 2024 Decoding Ableism in Large Language Models: An Intersectional Approach EMNLP 2024 Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making AAAI 2024 Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression ICML 2024 Decoding Human Language Acquisition: EEG Evidence for Predictive Probabilistic Statistics in Word Segmentation Interspeech 2024 Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024 Decoding Natural Images from EEG for Object Recognition ICLR 2024 Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models Using Minimal Pairs COLING 2024 Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach EMNLP 2024 Decoding-Time Language Model Alignment with Multiple Objectives NeurIPS 2024 Decoding-time Realignment of Language Models ICML 2024 Decomposable Transformer Point Processes NeurIPS 2024 Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle NeurIPS 2024 Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison EMNLP 2024 Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024 Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition COLING 2024 Decomposing and Editing Predictions by Modeling Model Computation ICML 2024