Skip to content
conftrace_

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
11
99
273
4,063
17,181
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Preemptive Detection and Correction of Misaligned Actions in LLM Agents EMNLP 2025 PREE: Towards Harmless and Adaptive Fingerprint Editing in Large Language Models via Knowledge Prefix Enhancement EMNLP 2025 Preference Adaptive and Sequential Text-to-Image Generation ICML 2025 Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies ICML 2025 Preference Learning for AI Alignment: a Causal Perspective ICML 2025 Preference learning made easy: Everything should be understood through win rate ICML 2025 Preference Optimization for Reasoning with Pseudo Feedback ICLR 2025 Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models AAAI 2025 Prefix-Enhanced Large Language Models with Reused Training Data in Multi-Turn Medical Dialogue NAACL 2025 PreGenie: An Agentic Framework for High-quality Visual Presentation Generation EMNLP 2025 Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning EMNLP 2025 Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs ICML 2025 Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models AISTATS 2025 Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparison NAACL 2025 PresentAgent: Multimodal Agent for Presentation Video Generation EMNLP 2025 Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing CVPR 2025 Preserving Cultural Identity with Context-Aware Translation Through Multi-Agent AI Systems NAACL 2025 PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning COLING 2025 Pre-Storage Reasoning for Episodic Memory: Shifting Inference Burden to Memory for Personalized Dialogue EMNLP 2025 Presumed Cultural Identity: How Names Shape LLM Responses EMNLP 2025 Pretend Benign: A Stealthy Adversarial Attack by Exploiting Vulnerabilities in Cooperative Perception ICCV 2025 Pretrained Image-Text Models are Secretly Video Captioners NAACL 2025 Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers EMNLP 2025 Pre-Trained Multiple Latent Variable Generative Models are Good Defenders Against Adversarial Attacks WACV 2025 Pre-training Auto-regressive Robotic Models with 4D Representations ICML 2025