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)
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
WACV 2025
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
ACL 2025
Calibrated Language Models and How to Find Them with Label Smoothing
ICML 2025
Calibrating Expressions of Certainty
ICLR 2025
Calibrating Large Language Models with Sample Consistency
AAAI 2025
Calibrating LLM Confidence by Probing Perturbed Representation Stability
EMNLP 2025
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
EMNLP 2025
Calibrating LLMs with Information-Theoretic Evidential Deep Learning
ICLR 2025
Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles
ICCV 2025
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
EMNLP 2025
Calibration Across Layers: Understanding Calibration Evolution in LLMs
EMNLP 2025
CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models
CVPR 2025
Call for Rigor in Reporting Quality of Instruction Tuning Data
ACL 2025
CalligraphicOCR for Chinese Calligraphy Recognition
EMNLP 2025
CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model
ICCV 2025
CALM: Consensus-Aware Localized Merging for Multi-Task Learning
ICML 2025
CALM: Curiosity-Driven Auditing for Large Language Models
AAAI 2025
CaLMQA: Exploring culturally specific long-form question answering across 23 languages
ACL 2025
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering
NAACL 2025
CaLQuest.PT: Towards the Collection and Evaluation of Natural Causal Ladder Questions in Portuguese for AI Agents
COLING 2025
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
NAACL 2025
Camera Resection from Known Line Pencils and a Radially Distorted Scanline
CVPR 2025
CAMER: Contribution-Aware Multimodal Emotion Recognition
Interspeech 2025
CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion Model
CVPR 2025
CAMH: Advancing Model Hijacking Attack in Machine Learning
AAAI 2025