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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)

Learning to Align Multi-Faceted Evaluation: A Unified and Robust Framework ACL 2025 Learning to Ask: When LLM Agents Meet Unclear Instruction EMNLP 2025 Learning to Collaborate with Unknown Agents in the Absence of Reward AAAI 2025 Learning to Communicate Through Implicit Communication Channels ICLR 2025 Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents ICLR 2025 Learning to engineer protein flexibility ICLR 2025 Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance IJCAI 2025 Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation NAACL 2025 Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels ICLR 2025 Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025 Learning to Generate Structured Output with Schema Reinforcement Learning ACL 2025 Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning ACL 2025 Learning to Highlight Audio by Watching Movies CVPR 2025 Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning WACV 2025 Learning to Inference Adaptively for Multimodal Large Language Models ICCV 2025 Learning to Insert [PAUSE] Tokens for Better Reasoning ACL 2025 Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding ICML 2025 Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention ACL 2025 Learning to Manipulate Under Limited Information AAAI 2025 Learning to Move with Style: Few-Shot Cross-Modal Style Transfer for Creative Robot Motion Generation NeurIPS 2025 Learning to Negotiate via Voluntary Commitment AISTATS 2025 Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving ICLR 2025 Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge ICML 2025 Learning to Play Like Humans: A Framework for LLM Adaptation in Interactive Fiction Games ACL 2025 Learning to Reason from Feedback at Test-Time ACL 2025