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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Large Language Models are Human-Level Prompt Engineers ICLR 2023 Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization EMNLP 2023 Large Language Models Are Partially Primed in Pronoun Interpretation ACL 2023 Large Language Models Are Reasoning Teachers ACL 2023 Large Language Models Are Semi-Parametric Reinforcement Learning Agents NeurIPS 2023 Large Language Models are Temporal and Causal Reasoners for Video Question Answering EMNLP 2023 Large Language Models are Visual Reasoning Coordinators NeurIPS 2023 Large Language Models as Commonsense Knowledge for Large-Scale Task Planning NeurIPS 2023 Large Language Models as General Pattern Machines CoRL 2023 Large Language Models as SocioTechnical Systems EMNLP 2023 Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues EMNLP 2023 Large Language Models Can Be Easily Distracted by Irrelevant Context ICML 2023 Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ACL 2023 Large Language Models can Implement Policy Iteration NeurIPS 2023 Large Language Models Can Self-Improve EMNLP 2023 Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist EMNLP 2023 Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering NeurIPS 2023 Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language. NeurIPS 2023 Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters EMNLP 2023 Large Language Models Meet NL2Code: A Survey ACL 2023 Large Language Models of Code Fail at Completing Code with Potential Bugs NeurIPS 2023 Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU EMNLP 2023 Large Language Models respond to Influence like Humans ACL 2023 Large Language Models Struggle to Learn Long-Tail Knowledge ICML 2023 Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding EMNLP 2023