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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)

Addressing Bias and Hallucination in Large Language Models COLING 2024 Addressing Both Statistical and Causal Gender Fairness in NLP Models NAACL 2024 Addressing Entity Translation Problem via Translation Difficulty and Context Diversity ACL 2024 Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models NAACL 2024 Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation NeurIPS 2024 Addressing Signal Delay in Deep Reinforcement Learning ICLR 2024 ADEA: An Argumentative Dialogue Dataset on Ethical Issues Concerning Future A.I. Applications COLING 2024 A Decade of Scholarly Research on Open Knowledge Graphs COLING 2024 A decoder-only foundation model for time-series forecasting ICML 2024 A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers EMNLP 2024 A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques ACL 2024 ADELT: Transpilation between Deep Learning Frameworks IJCAI 2024 A demonstrator for articulation-based command word recognition Interspeech 2024 ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments IJCAI 2024 A differentiable first-order rule learner for inductive logic programming (Abstract Reprint) IJCAI 2024 A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference COLING 2024 A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing ICML 2024 A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging AAAI 2024 A Divide and Conquer Approach for Solving Structural Causal Models PGM 2024 Adjusting Interpretable Dimensions in Embedding Space with Human Judgments NAACL 2024 Adjustment Identification Distance: A gadjid for Causal Structure Learning UAI 2024 A Dual-Prompting for Interpretable Mental Health Language Models EACL 2024 A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking AAAI 2024 AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks NeurIPS 2024 Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models ACL 2024