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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
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Papers (including subtopics)

UNLEARN Efficient Removal of Knowledge in Large Language Models NAACL 2025 Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate NAACL 2025 Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation ACL 2025 Unlearning-based Neural Interpretations ICLR 2025 Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient AAAI 2025 Unlearning LLM-Based Speech Recognition Models Interspeech 2025 Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning ICLR 2025 Unlearning vs. Obfuscation: Are We Truly Removing Knowledge? EMNLP 2025 Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation CVPR 2025 Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context NAACL 2025 Unleashing Potentials of Vision-Language Models for Zero-Shot HOI Detection WACV 2025 Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation CVPR 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025 Unleashing the Potential of Multi-modal Foundation Models and Video Diffusion for 4D Dynamic Physical Scene Simulation CVPR 2025 Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment ICLR 2025 Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning ICLR 2025 Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem EMNLP 2025 Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detection ICCV 2025 Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation AAAI 2025 Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts NAACL 2025 Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering ACL 2025 Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland EMNLP 2025 Unlocking LLM Safeguards for Low-Resource Languages via Reasoning and Alignment with Minimal Training Data EMNLP 2025 Unlocking LLMs’ Self-Improvement Capacity with Autonomous Learning for Domain Adaptation ACL 2025 Unlocking Post-hoc Dataset Inference with Synthetic Data ICML 2025