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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)

Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024 BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra ACL 2024 Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL 2024 Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP NAACL 2024 Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024 BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions AAAI 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NeurIPS 2024 Block Transformer: Global-to-Local Language Modeling for Fast Inference NeurIPS 2024 BloomVQA: Assessing Hierarchical Multi-modal Comprehension ACL 2024 BLSP-Emo: Towards Empathetic Large Speech-Language Models EMNLP 2024 B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory NeurIPS 2024 BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers EMNLP 2024 BMRS: Bayesian Model Reduction for Structured Pruning NeurIPS 2024 BMX: Boosting Natural Language Generation Metrics with Explainability EACL 2024 BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining AAAI 2024 BOLD: Boolean Logic Deep Learning NeurIPS 2024 BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NeurIPS 2024 Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World ICLR 2024 Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots ACL 2024 BookWorm: A Dataset for Character Description and Analysis EMNLP 2024 BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? EMNLP 2024 BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NeurIPS 2024 Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection With Attention WACV 2024 Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping AAAI 2024 Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024