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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)

Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference AAAI 2024 Evaluating Psychological Safety of Large Language Models EMNLP 2024 Evaluating Quantized Large Language Models ICML 2024 Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024 Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions ACL 2024 Evaluating Robustness of Open Dialogue Summarization Models in the Presence of Naturally Occurring Variations ACL 2024 Evaluating Semantic Relations in Predicting Textual Labels for Images of Abstract and Concrete Concepts ACL 2024 Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models EMNLP 2024 Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024 Evaluating Text-to-Speech Synthesis from a Large Discrete Token-based Speech Language Model COLING 2024 Evaluating the Deductive Competence of Large Language Models NAACL 2024 Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract) AAAI 2024 Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding EMNLP 2024 Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning ACL 2024 Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection EMNLP 2024 Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation COLING 2024 Evaluating the Robustness of Adverse Drug Event Classification Models using Templates ACL 2024 Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs ACL 2024 Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models ACL 2024 Evaluating the Zero-shot Robustness of Instruction-tuned Language Models ICLR 2024 Evaluating Very Long-Term Conversational Memory of LLM Agents ACL 2024 Evaluating Vision-Language Models on Bistable Images ACL 2024 Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations COLING 2024 Evaluation and Continual Improvement for an Enterprise AI Assistant NAACL 2024 Evaluation of Large Language Models on Code Obfuscation (Student Abstract) AAAI 2024