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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)

Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems NeurIPS 2024 DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment Interspeech 2024 DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NeurIPS 2024 DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? EMNLP 2024 Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models AAAI 2024 Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights IJCAI 2024 Detecting Ambiguous Utterances in an Intelligent Assistant EMNLP 2024 Detecting and Identifying Selection Structure in Sequential Data ICML 2024 Detecting and Measuring Confounding Using Causal Mechanism Shifts NeurIPS 2024 Detecting and Preventing Hallucinations in Large Vision Language Models AAAI 2024 Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability IJCAI 2024 Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA ICML 2024 Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning NAACL 2024 Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning NeurIPS 2024 Detecting Conceptual Abstraction in LLMs COLING 2024 Detecting critical treatment effect bias in small subgroups UAI 2024 Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors EMNLP 2024 Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics COLING 2024 Detecting Influence Structures in Multi-Agent Reinforcement Learning ICML 2024 Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests EMNLP 2024 Detecting Mode Collapse in Language Models via Narration EACL 2024 Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter EMNLP 2024 Detecting Personal Identifiable Information in Swedish Learner Essays EACL 2024 Detecting Pretraining Data from Large Language Models ICLR 2024 Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood EMNLP 2024