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)
Late Code Chunking: A Code Chunking Strategy for Repository-Level Code Completion
ACL 2026
Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate
ACL 2026
Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models
ACL 2026
Latent Chain-of-Thought World Modeling for End-to-End Autonomous Driving
CVPR 2026
Latent-Condensed Transformer for Efficient Long Context Modeling
ACL 2026
Latent Diffusion Inversion Requires Understanding the Latent Space
CVPR 2026
LatentGate: Low-Latency Semantic Routing via Frozen-Backbone Probing of Small Language Models
ACL 2026
Latent Implicit Visual Reasoning
CVPR 2026
Latent Linear Quadratic Regulator for Robotic Control Tasks
L4DC 2026
LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention
AAAI 2026
Latent Representations of Land–Sea Boundaries and Extreme Temperature in Aurora’s Encoder (Student Abstract)
AAAI 2026
Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning
AAAI 2026
LaTeX2Layout: High-Fidelity, Scalable Document Layout Annotation Pipeline for Layout Detection
AAAI 2026
Lattice at SemEval-2026 Task 1: Why did the prompt engineer break up with their LLM? Because zero-shot was zero-fun.
SemEval 2026
La VIDA: Towards a Motivated Goal Reasoning Agent (Abstract Reprint)
AAAI 2026
Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
ACL 2026
Layer-wise Swapping for Generalizable Multilingual Safety
EACL 2026
LayoutAD: Exploring Semantic-Geometric Misalignment Reasoning for Scene Layout Anomaly Detection
CVPR 2026
Layout-Aware Document Parsing with Visual-Linguistic Fusion: The DATA-LUX with Academic Content Service Provider
AAAI 2026
LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long Reasoning
ACL 2026
LazyVAR: Accelerating Visual Autoregressive Models via Scale-wise Token Pruning and Parallel Group Decoding
CVPR 2026
LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation
ACL 2026
LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning
ACL 2026
LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving
CVPR 2026
LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
ACL 2026