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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
11
99
273
4,063
17,181
2000
'5
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'25

Papers (including subtopics)

Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding CVPR 2023 Seeking Clozure: Robust Hypernym extraction from BERT with Anchored Prompts ACL 2023 SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations EMNLP 2023 SegFormer: A Topic Segmentation Model with Controllable Range of Attention AAAI 2023 SegGPT: Towards Segmenting Everything in Context ICCV 2023 Segment Any Point Cloud Sequences by Distilling Vision Foundation Models NeurIPS 2023 Segment Anything ICCV 2023 Segment Everything Everywhere All at Once NeurIPS 2023 SegPrompt: Boosting Open-World Segmentation via Category-Level Prompt Learning ICCV 2023 Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation ACL 2023 Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning ICLR 2023 Selective Annotation Makes Language Models Better Few-Shot Learners ICLR 2023 Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation AAAI 2023 Selectively Answering Ambiguous Questions EMNLP 2023 Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning NeurIPS 2023 "Select language, modality or put on a mask!" Experiments with Multimodal Emotion Recognition Interspeech 2023 Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement AAAI 2023 Self-adaptive Context and Modal-interaction Modeling For Multimodal Emotion Recognition ACL 2023 Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering ACL 2023 SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models EMNLP 2023 Self-Consistency Improves Chain of Thought Reasoning in Language Models ICLR 2023 Self-Consistency of Large Language Models under Ambiguity EMNLP 2023 Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness EMNLP 2023 Self-Detoxifying Language Models via Toxification Reversal EMNLP 2023 Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models ACL 2023