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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)

What Makes Convolutional Models Great on Long Sequence Modeling? ICLR 2023 What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations EMNLP 2023 What Planning Problems Can A Relational Neural Network Solve? NeurIPS 2023 What shapes the loss landscape of self supervised learning? ICLR 2023 What’s in a Rise? The Relevance of Intonation for Attention Orienting Interspeech 2023 What’s Left? Concept Grounding with Logic-Enhanced Foundation Models NeurIPS 2023 What’s New? Identifying the Unfolding of New Events in a Narrative ACL 2023 What’s New? Summarizing Contributions in Scientific Literature EACL 2023 What social attitudes about gender does BERT encode? Leveraging insights from psycholinguistics ACL 2023 What’s the Meaning of Superhuman Performance in Today’s NLU? ACL 2023 What’s “up” with vision-language models? Investigating their struggle with spatial reasoning EMNLP 2023 What the DAAM: Interpreting Stable Diffusion Using Cross Attention ACL 2023 What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection ACL 2023 What Truly Matters in Trajectory Prediction for Autonomous Driving? NeurIPS 2023 What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery CoRL 2023 What, When, and How to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue ACL 2023 What You Can Reconstruct From a Shadow CVPR 2023 When and Why Does Bias Mitigation Work? EMNLP 2023 When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It? ICLR 2023 When are Lemons Purple? The Concept Association Bias of Vision-Language Models EMNLP 2023 When are post-hoc conceptual explanations identifiable? UAI 2023 When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure AAAI 2023 When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning ICLR 2023 When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NeurIPS 2023 When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset ACL 2023