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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
'5
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'25

Papers (including subtopics)

Towards Alleviating the Object Bias in Prompt Tuning-based Factual Knowledge Extraction ACL 2023 Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models EMNLP 2023 Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts EMNLP 2023 Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking ACL 2023 Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation EMNLP 2023 Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering EACL 2023 Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model EMNLP 2023 Towards Automated Circuit Discovery for Mechanistic Interpretability NeurIPS 2023 Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains AAAI 2023 Towards Balanced Representation Learning for Credit Policy Evaluation AISTATS 2023 Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks CVPR 2023 Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models ACL 2023 Towards Better Explanations for Object Detection ACML 2023 Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance AAAI 2023 Towards Boosting the Open-Domain Chatbot with Human Feedback ACL 2023 Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten ICML 2023 Towards Building More Robust Models with Frequency Bias ICCV 2023 Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration CVPR 2023 Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games NeurIPS 2023 Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases AAAI 2023 Towards Concept-Aware Large Language Models EMNLP 2023 Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators EMNLP 2023 Towards Consistent Video Editing with Text-to-Image Diffusion Models NeurIPS 2023 Towards convergence to Nash equilibria in two-team zero-sum games ICLR 2023 Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup AAAI 2023