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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
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'25

Papers (including subtopics)

Scalability of LLM-Based Multi-Agent Systems for Scientific Code Generation: A Preliminary Study EMNLP 2025 Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration EMNLP 2025 Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference UAI 2025 Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction ICLR 2025 Scalable Dual Fingerprinting for Hierarchical Attribution of Text-to-Image Models ICCV 2025 Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching ICML 2025 Scalable Influence and Fact Tracing for Large Language Model Pretraining ICLR 2025 Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization IJCAI 2025 Scalable Natural Policy Gradient for General-Sum Linear Quadratic Games with Known Parameters L4DC 2025 Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders AISTATS 2025 Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations AAAI 2025 Scalable spectral representations for multiagent reinforcement learning in network MDPs AISTATS 2025 Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling AAAI 2025 Scalable, Sustainable, Generalizable, and Responsible AI for Public Sector AAAI 2025 Scalable Trajectory-User Linking with Dual-Stream Representation Networks AAAI 2025 Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents CVPR 2025 Scalable Vision-Language Understanding and Generation AAAI 2025 ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting ACL 2025 ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression AAAI 2025 SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention ACL 2025 Scaling Action Detection: AdaTAD++ with Transformer-Enhanced Temporal-Spatial Adaptation ICCV 2025 Scaling and evaluating sparse autoencoders ICLR 2025 Scaling Autonomous Agents via Automatic Reward Modeling And Planning ICLR 2025 Scaling Capability in Token Space: An Analysis of Large Vision Language Model JMLR 2025 Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks ICML 2025