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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)

Towards Better Value Principles for Large Language Model Alignment: A Systematic Evaluation and Enhancement ACL 2025 Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting COLING 2025 Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract) AAAI 2025 Towards Certification of Uncertainty Calibration under Adversarial Attacks ICLR 2025 Towards Codec-LM Co-design for Neural Codec Language Models NAACL 2025 Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks IJCAI 2025 Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach ACL 2025 Towards Comprehensive Lecture Slides Understanding: Large-scale Dataset and Effective Method ICCV 2025 Towards Computational Foreseeability AAAI 2025 Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning COLING 2025 Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach ACL 2025 Towards Continual Universal Segmentation CVPR 2025 Towards Controllable Speech Synthesis in the Era of Large Language Models: A Systematic Survey EMNLP 2025 Towards Cost Sensitive Decision Making AISTATS 2025 Towards counterfactual fairness through auxiliary variables ICLR 2025 Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning COLING 2025 Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models NAACL 2025 Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models ICCV 2025 Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era IJCAI 2025 Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges COLING 2025 Towards Domain-Specific Spoken Language Understanding for a Catalan Voice-Controlled Video Game Interspeech 2025 Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States ACL 2025 Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients CVPR 2025 Towards Effective Evaluations and Comparisons for LLM Unlearning Methods ICLR 2025 Towards Effective Extraction and Evaluation of Factual Claims ACL 2025