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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'25
Papers (including subtopics)
S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation
AAAI 2025
S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
ACL 2025
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners
AAAI 2025
S3E: Self-Supervised State Estimation for Radar-Inertial System
ICCV 2025
s3: You Don’t Need That Much Data to Train a Search Agent via RL
EMNLP 2025
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation
CVPR 2025
Saama Technologies at SemEval-2025 Task 8: Few-shot prompting with LLM-generated examples for question answering on tabular data
SemEval 2025
SABER: Uncovering Vulnerabilities in Safety Alignment via Cross-Layer Residual Connection
EMNLP 2025
SabiYarn: Advancing Low Resource Languages with Multitask NLP Pretraining
ACL 2025
Sable: a Performant, Efficient and Scalable Sequence Model for MARL
ICML 2025
SA-CLIP: Language Guided Image Spatial and Action Feature Learning
EMNLP 2025
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
EMNLP 2025
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
ICML 2025
SAEs Are Good for Steering – If You Select the Right Features
EMNLP 2025
SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models
EMNLP 2025
SAE-V: Interpreting Multimodal Models for Enhanced Alignment
ICML 2025
SafeArena: Evaluating the Safety of Autonomous Web Agents
ICML 2025
SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs
EMNLP 2025
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
ICML 2025
Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions
RSS 2025
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
ACL 2025
SafeConf: A Confidence-Calibrated Safety Self-Evaluation Method for Large Language Models
EMNLP 2025
Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation
L4DC 2025
Safe Decision Transformer with Learning-based Constraints
L4DC 2025
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
ICML 2025