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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)

Value-Based Deep RL Scales Predictably ICML 2025 ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs EMNLP 2025 Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs’ Value Evaluation ACL 2025 Value Portrait: Assessing Language Models’ Values through Psychometrically and Ecologically Valid Items ACL 2025 Value Profiles for Encoding Human Variation EMNLP 2025 Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts ACL 2025 Vamba: Understanding Hour-Long Videos with Hybrid Mamba-Transformers ICCV 2025 VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025 VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs NAACL 2025 VAQUUM: Are Vague Quantifiers Grounded in Visual Data? ACL 2025 VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval AAAI 2025 Variability in performance across four generations of automatic speaker recognition systems Interspeech 2025 Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025 Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits AISTATS 2025 Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025 Variance Sensitivity Induces Attention Entropy Collapse and Instability in Transformers EMNLP 2025 VariantBench: A Framework for Evaluating LLMs on Justifications for Genetic Variant Interpretation IJCNLP 2025 Variational Counterfactual Intervention Planning to Achieve Target Outcomes ICML 2025 Variety-Seeking Jump Games on Graphs IJCAI 2025 Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only ICLR 2025 VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification CVPR 2025 VCapAV: A Video-Caption Based Audio-Visual Deepfake Detection Dataset Interspeech 2025 VCA: Video Curious Agent for Long Video Understanding ICCV 2025 VCD: A Dataset for Visual Commonsense Discovery in Images ACL 2025 VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning AAAI 2025