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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)

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ICLR 2024 Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information COLING 2024 Analyzing Context Contributions in LLM-based Machine Translation EMNLP 2024 Analyzing Effects of Learning Downstream Tasks on Moral Bias in Large Language Models COLING 2024 Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions AISTATS 2024 Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps ICLR 2024 Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System AAAI 2024 Analyzing Interpretability of Summarization Model with Eye-gaze Information COLING 2024 Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts EMNLP 2024 Analyzing Large Language Models’ Capability in Location Prediction COLING 2024 Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends ACL 2024 Analyzing Multimodal Features of Spontaneous Voice Assistant Commands for Mild Cognitive Impairment Detection Interspeech 2024 Analyzing Occupational Distribution Representation in Japanese Language Models COLING 2024 Analyzing Semantic Change through Lexical Replacements ACL 2024 Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding ACL 2024 Analyzing the Performance of Large Language Models on Code Summarization COLING 2024 Analyzing the Understanding of Morphologically Complex Words in Large Language Models COLING 2024 Analyzing the Use of Metaphors in News Editorials for Political Framing NAACL 2024 An Analysis of Elo Rating Systems via Markov Chains NeurIPS 2024 An Analysis of Multilingual FActScore EMNLP 2024 An Analysis of Tasks and Datasets in Peer Reviewing ACL 2024 An Analysis of Tokenization: Transformers under Markov Data NeurIPS 2024 An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NeurIPS 2024 An Approximate Skolem Function Counter AAAI 2024 A Natural Approach for Synthetic Short-Form Text Analysis COLING 2024