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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)

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP NeurIPS 2024 Aggregating Impressions on Celebrities and their Reasons from Microblog Posts and Web Search Pages ACL 2024 Aggregation of Continuous Preferences in One Dimension IJCAI 2024 Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models COLING 2024 AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models NAACL 2024 AGILE: A Novel Reinforcement Learning Framework of LLM Agents NeurIPS 2024 Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion RSS 2024 Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge AAAI 2024 A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia ACL 2024 A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding NeurIPS 2024 A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs UAI 2024 A Goal Interaction Graph Planning Framework for Conversational Recommendation AAAI 2024 “A good pun is its own reword”: Can Large Language Models Understand Puns? EMNLP 2024 A GPT among Annotators: LLM-based Entity-Level Sentiment Annotation EACL 2024 AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings EMNLP 2024 A Graph Dynamics Prior for Relational Inference AAAI 2024 A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer ICML 2024 A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks ICLR 2024 A Graph per Persona: Reasoning about Subjective Natural Language Descriptions ACL 2024 AgriLLM:Harnessing Transformers for Framer Queries EMNLP 2024 A Grounded Preference Model for LLM Alignment ACL 2024 AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization ACL 2024 AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024 A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation ICLR 2024 A hierarchical decomposition for explaining ML performance discrepancies NeurIPS 2024