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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)

Goal Driven Discovery of Distributional Differences via Language Descriptions NeurIPS 2023 Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control CoRL 2023 GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation ICLR 2023 GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer AAAI 2023 Going Beyond Nouns With Vision & Language Models Using Synthetic Data ICCV 2023 Going beyond persistent homology using persistent homology NeurIPS 2023 Going Beyond Sentence Embeddings: A Token-Level Matching Algorithm for Calculating Semantic Textual Similarity ACL 2023 Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection EMNLP 2023 Good Explanations in Explainable Artificial Intelligence (XAI): Evidence from Human Explanatory Reasoning IJCAI 2023 Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification CVPR 2023 Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models EMNLP 2023 GPEX, A Framework For Interpreting Artificial Neural Networks NeurIPS 2023 GPL at SemEval-2023 Task 1: WordNet and CLIP to Disambiguate Images SemEval 2023 GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control IJCAI 2023 GPoeT: a Language Model Trained for Rhyme Generation on Synthetic Data EACL 2023 GPT4All: An Ecosystem of Open Source Compressed Language Models EMNLP 2023 GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions EMNLP 2023 GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction NeurIPS 2023 GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves EMNLP 2023 GPU-accelerated Guided Source Separation for Meeting Transcription Interspeech 2023 GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints EMNLP 2023 GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints ICLR 2023 GRACE: Discriminator-Guided Chain-of-Thought Reasoning EMNLP 2023 GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation ACL 2023 Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning AAAI 2023