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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)

Distilling ChatGPT for Explainable Automated Student Answer Assessment EMNLP 2023 Distilling Cognitive Backdoor Patterns within an Image ICLR 2023 Distilling Efficient Language-Specific Models for Cross-Lingual Transfer ACL 2023 Distilling Internet-Scale Vision-Language Models into Embodied Agents ICML 2023 Distilling Model Failures as Directions in Latent Space ICLR 2023 Distilling Reasoning Capabilities into Smaller Language Models ACL 2023 Distilling Script Knowledge from Large Language Models for Constrained Language Planning ACL 2023 Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes ACL 2023 Distill n’ Explain: explaining graph neural networks using simple surrogates AISTATS 2023 Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering ACL 2023 Distinguishing Cause and Effect in Bivariate Structural Causal Models: A Systematic Investigation JMLR 2023 Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model CLeaR 2023 Distinguishing Fact from Fiction: A Benchmark Dataset for Identifying Machine-Generated Scientific Papers in the LLM Era. ACL 2023 Distinguishing Romanized Hindi from Romanized Urdu ACL 2023 DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling CVPR 2023 Distractor Generation based on Text2Text Language Models with Pseudo Kullback-Leibler Divergence Regulation ACL 2023 Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems RSS 2023 Distributionally Robust Lyapunov Function Search Under Uncertainty L4DC 2023 Distribution-Aware Prompt Tuning for Vision-Language Models ICCV 2023 Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning ICCV 2023 DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning EMNLP 2023 Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement CVPR 2023 Diverse Conventions for Human-AI Collaboration NeurIPS 2023 Diverse Cotraining Makes Strong Semi-Supervised Segmentor ICCV 2023 Diverse Demonstrations Improve In-context Compositional Generalization ACL 2023