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)
Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
ICLR 2025
Do as We Do, Not as You Think: the Conformity of Large Language Models
ICLR 2025
Do Audio-Language Models Understand Linguistic Variations?
NAACL 2025
Do Before You Judge: Self-Reference as a Pathway to Better LLM Evaluation
EMNLP 2025
Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives
ICLR 2025
Doc2Chart: Intent-Driven Zero-Shot Chart Generation from Documents
EMNLP 2025
DocAgent: A Multi-Agent System for Automated Code Documentation Generation
ACL 2025
DocAgent: An Agentic Framework for Multi-Modal Long-Context Document Understanding
EMNLP 2025
DocAssistant: Integrating Key-region Reading and Step-wise Reasoning for Robust Document Visual Question Answering
EMNLP 2025
DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems
NAACL 2025
DocHPLT: A Massively Multilingual Document-Level Translation Dataset
EMNLP 2025
DocIE@XLLM25: ZeroSemble - Robust and Efficient Zero-Shot Document Information Extraction with Heterogeneous Large Language Model Ensembles
ACL 2025
DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
ICML 2025
DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming
AAAI 2025
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding
CVPR 2025
DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
ICLR 2025
DocMMIR: A Framework for Document Multi-modal Information Retrieval
EMNLP 2025
Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
EMNLP 2025
DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models
IJCAI 2025
Do Computer Vision Foundation Models Learn the Low-level Characteristics of the Human Visual System?
CVPR 2025
Do Construction Distributions Shape Formal Language Learning In German BabyLMs?
CoNLL 2025
Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
ICLR 2025
Docopilot: Improving Multimodal Models for Document-Level Understanding
CVPR 2025
DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers
EMNLP 2025
DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models
ICLR 2025