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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)

Improving Fairness of Large Language Models in Multi-document Summarization ACL 2025 Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025 Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation ACL 2025 Improving Instruction-Following in Language Models through Activation Steering ICLR 2025 Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path AAAI 2025 Improving Language Model Personas via Rationalization with Psychological Scaffolds EMNLP 2025 Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification ACL 2025 Improving Large Language Model Planning with Action Sequence Similarity ICLR 2025 Improving Large Language Model Safety with Contrastive Representation Learning EMNLP 2025 Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates EMNLP 2025 Improving Large Vision and Language Models by Learning from a Panel of Peers ICCV 2025 Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Interspeech 2025 Improving LLM Reasoning through Interpretable Role-Playing Steering EMNLP 2025 Improving LLM Safety Alignment with Dual-Objective Optimization ICML 2025 Improving LLM’s Attachment to External Knowledge In Dialogue Generation Tasks Through Entity Anonymization IJCNLP 2025 Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens ICML 2025 Improving LLM Video Understanding with 16 Frames Per Second ICML 2025 Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback ACL 2025 Improving Memory Efficiency for Training KANs via Meta Learning ICML 2025 Improving MLLM’s Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency ACL 2025 Improving Model Alignment Through Collective Intelligence of Open-Source Models ICML 2025 Improving Model Factuality with Fine-grained Critique-based Evaluator ACL 2025 Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations EMNLP 2025 Improving Multilingual Sign Language Translation with Automatically Clustered Language Family Information COLING 2025 Improving Multilingual Speech Models on ML-SUPERB 2.0: Fine-tuning with Data Augmentation and LID-Aware CTC Interspeech 2025