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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)

De-biased Attention Supervision for Text Classification with Causality AAAI 2024 Debiased Distribution Compression ICML 2024 Debiasing Algorithm through Model Adaptation ICLR 2024 Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations ACL 2024 Debiasing Large Language Models with Structured Knowledge ACL 2024 Debiasing Multimodal Sarcasm Detection with Contrastive Learning AAAI 2024 Debiasing surgeon: fantastic weights and how to find them ECCV 2024 Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble EMNLP 2024 Deblur-NSFF: Neural Scene Flow Fields for Blurry Dynamic Scenes WACV 2024 DebugBench: Evaluating Debugging Capability of Large Language Models ACL 2024 Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step ACL 2024 Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks EMNLP 2024 Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding AAAI 2024 Decentralized Multi-Robot Line-of-Sight Connectivity Maintenance under Uncertainty RSS 2024 Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions NeurIPS 2024 Decentralized Online Learning in General-Sum Stackelberg Games UAI 2024 Decentralized Two-Sided Bandit Learning in Matching Market UAI 2024 Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? NAACL 2024 DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation ECCV 2024 Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework EMNLP 2024 Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation AAAI 2024 Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games ACL 2024 Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees AAAI 2024 Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning EMNLP 2024