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)
Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions
EACL 2024
Ask LLMs Directly, “What shapes your bias?”: Measuring Social Bias in Large Language Models
ACL 2024
Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration
EMNLP 2024
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles
EMNLP 2024
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick
EMNLP 2024
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
ICML 2024
A Sober Look at the Robustness of CLIPs to Spurious Features
NeurIPS 2024
A Sparsity Principle for Partially Observable Causal Representation Learning
ICML 2024
Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks
COLING 2024
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors
CVPR 2024
Assessing and Verifying Task Utility in LLM-Powered Applications
EMNLP 2024
Assessing Factual Reliability of Large Language Model Knowledge
NAACL 2024
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
EACL 2024
Assessing Image-Captioning Models: A Novel Framework Integrating Statistical Analysis and Metric Patterns
COLING 2024
Assessing “Implicit” Retrieval Robustness of Large Language Models
EMNLP 2024
Assessing Large Language Models on Climate Information
ICML 2024
Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study
NAACL 2024
Assessing News Thumbnail Representativeness: Counterfactual text can enhance the cross-modal matching ability
ACL 2024
Assessing Online Writing Feedback Resources: Generative AI vs. Good Samaritans
COLING 2024
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
ICML 2024
Assessing the Overall and Partial Causal Well-Specification of Nonlinear Additive Noise Models
JMLR 2024
Assessing the Role of Imagery in Multimodal Machine Translation
EMNLP 2024
Assessing the Significance of Encoded Information in Contextualized Representations to Word Sense Disambiguation
EACL 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
EMNLP 2024
Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach
EMNLP 2024