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
4
10
1
11
82
89
98
89
99
120
153
269
217
273
416
1,053
1,809
3,137
4,063
4,997
5,940
7,896
12,509
17,181
8,128
2000
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Papers (including subtopics)
Sabancigroup4 at SemEval-2026 Task 5: Uncertainty-Aware Semantic Plausibility Scoring via GNLL Regression and LLM Rationales
SemEval 2026
Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation
ACL 2026
SABER: Spatially Consistent 3D Universal Adversarial Objects for BEV Detectors
CVPR 2026
SABER: Switchable and Balanced Training for Efficient LLM Reasoning
AAAI 2026
SAC: Neural Speech Codec with Semantic-Acoustic Dual-Stream Quantization
ACL 2026
SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce
AAAI 2026
SACTOR: LLM-Driven Correct and Idiomatic C to Rust Translation with Static Analysis and FFI-Based Verification
ACL 2026
SADA: Bridging In-Context Learning and Fine-Tuning via State-Aligned Distillation Adapters
ACL 2026
SAFARI: A Community-Engaged Approach and Dataset of Stereotype Resources in the Sub-Saharan African Context
EACL 2026
SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator
ACL 2026
SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation Steering
ACL 2026
SafeDrive: Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse World
CVPR 2026
Safe-FedLLM: Delving into the Safety of Federated Large Language Models
ACL 2026
SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
CVPR 2026
Safeguarding Language Models via Self-Destruct Trapdoor
EACL 2026
Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment
ACL 2026
Safeguarding LLM Training at Scale: Online SDC Detection and Insights from 35 Million GPU Hours
OSDI 2026
SafeLens: Segment-Level Hate Speech Detection in Online Videos
AAAI 2026
SafeLogo: Turning Your Logos into Jailbreak Shields via Micro-Regional Adversarial Training
CVPR 2026
SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
ACL 2026
SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
AAAI 2026
SafeMT: Multi-turn Safety for Multimodal Language Models
ACL 2026
Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization
AAAI 2026
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
AAAI 2026
SafeNLIDB: A Privacy-Preserving Safety Alignment Framework for LLM-based Natural Language Database Interfaces
AAAI 2026