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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

Latent Inter-User Difference Modeling for LLM Personalization EMNLP 2025 Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes ICML 2025 Latent-Reframe: Enabling Camera Control for Video Diffusion Models without Training ICCV 2025 Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning AAAI 2025 Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution COLING 2025 Latent Thought Models with Variational Bayes Inference-Time Computation ICML 2025 Latent Variable Causal Discovery under Selection Bias ICML 2025 LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models ACL 2025 LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization ICCV 2025 Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025 LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement AAAI 2025 LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients EMNLP 2025 LATTE: Learning to Think with Vision Specialists EMNLP 2025 LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos CVPR 2025 LAuReL: Learned Augmented Residual Layer ICML 2025 LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation EMNLP 2025 LaVA-Man: Learning Visual Action Representations for Robot Manipulation CoRL 2025 LaVin-DiT: Large Vision Diffusion Transformer CVPR 2025 LAW: Legal Agentic Workflows for Custody and Fund Services Contracts COLING 2025 Law of the Weakest Link: Cross Capabilities of Large Language Models ICLR 2025 Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers CVPR 2025 Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment EMNLP 2025 Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge EMNLP 2025 Layer by Layer: Uncovering Hidden Representations in Language Models ICML 2025 Layer Duplication in LLMs EMNLP 2025