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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)

Toward Optimal LLM Alignments Using Two-Player Games EMNLP 2025 Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams CoRL 2025 Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design ACL 2025 Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models IJCAI 2025 Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage ICML 2025 Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance ICCV 2025 Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025 Towards Achieving Concept Completeness for Textual Concept Bottleneck Models EMNLP 2025 Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans AAAI 2025 Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation ACL 2025 Towards Adaptive Mechanism Activation in Language Agent COLING 2025 Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation ACL 2025 Towards a Design Guideline for RPA Evaluation: A Survey of Large Language Model-Based Role-Playing Agents ACL 2025 Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving EMNLP 2025 Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment ICCV 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer ICML 2025 Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts EMNLP 2025 Towards AI-assisted Academic Writing NAACL 2025 Towards AI-Assisted Psychotherapy: Emotion-Guided Generative Interventions EMNLP 2025 Towards a Japanese Full-duplex Spoken Dialogue System Interspeech 2025 Towards a learning theory of representation alignment ICLR 2025 Towards All-in-One Medical Image Re-Identification CVPR 2025 Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine AAAI 2025 Towards an Automated Framework to Audit Youth Safety on TikTok EMNLP 2025 Towards an Explainable Comparison and Alignment of Feature Embeddings ICML 2025