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)
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
NAACL 2025
Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect
EMNLP 2025
Steering LLM Reasoning Through Bias-Only Adaptation
EMNLP 2025
Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation
EMNLP 2025
Steering No-Regret Agents in MFGs under Model Uncertainty
AISTATS 2025
Steering off Course: Reliability Challenges in Steering Language Models
ACL 2025
Steering Prepositional Phrases in Language Models: A Case of with-headed Adjectival and Adverbial Complements in Gemma-2
EMNLP 2025
Steering Protein Language Models
ICML 2025
Steer LLM Latents for Hallucination Detection
ICML 2025
SteerVLM: Robust Model Control through Lightweight Activation Steering for Vision Language Models
EMNLP 2025
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
AISTATS 2025
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
AAAI 2025
STEM-POM: Evaluating Language Models Math-Symbol Reasoning in Document Parsing
ACL 2025
Step and Smooth Decompositions as Topological Clustering
JMLR 2025
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo
ICLR 2025
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
CVPR 2025
StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models
EMNLP 2025
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning
EMNLP 2025
Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations
NAACL 2025
StepKE: Stepwise Knowledge Editing for Multi-Hop Question Answering
EMNLP 2025
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
EMNLP 2025
Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation
ICCV 2025
StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization
EMNLP 2025
STEP: Staged Parameter-Efficient Pre-training for Large Language Models
NAACL 2025
Stepwise Fine and Gray: Subject-Specific Variable Selection Shows When Hemodynamic Data Improves Prognostication of Comatose Post-Cardiac Arrest Patients
MLHC 2025