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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)

Training High Performance Spiking Neural Network by Temporal Model Calibration ICML 2025 Training Language Models to Critique With Multi-agent Feedback EMNLP 2025 Training Language Models to Self-Correct via Reinforcement Learning ICLR 2025 Training Language Model to Critique for Better Refinement ACL 2025 Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction ICLR 2025 Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain COLING 2025 Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation EMNLP 2025 Training Multi-Modal LLMs through Dialogue Planning for HRI ACL 2025 Training Neural Networks as Recognizers of Formal Languages ICLR 2025 Training on the Benchmark Is Not All You Need AAAI 2025 Training on the Test Task Confounds Evaluation and Emergence ICLR 2025 Training Recurrent Neural Networks with Inherent Missing Data for Wearable Device Applications (Student Abstract) AAAI 2025 Training Software Engineering Agents and Verifiers with SWE-Gym ICML 2025 Training Strategies for Efficient Embodied Reasoning CoRL 2025 Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding Tutors ACL 2025 Training Verification-Friendly Neural Networks via Neuron Behavior Consistency AAAI 2025 Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks AAAI 2025 Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models EMNLP 2025 Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy EMNLP 2025 Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models ICLR 2025 TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories IJCAI 2025 Trajectory-Class-Aware Multi-Agent Reinforcement Learning ICLR 2025 Trajectory Inference with Smooth Schrödinger Bridges ICML 2025 Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving ICLR 2025 Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM CVPR 2025