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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)

CaM: Cache Merging for Memory-efficient LLMs Inference ICML 2024 CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition AAAI 2024 CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images ICLR 2024 CaMML: Context-Aware Multimodal Learner for Large Models ACL 2024 Can Abstract Meaning Representation Facilitate Fair Legal Judgement Predictions? NAACL 2024 Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 2024 Can a Few Decide for Many? The Metric Distortion of Sortition ICML 2024 Can AI Assistants Know What They Don’t Know? ICML 2024 Can AI Relate: Testing Large Language Model Response for Mental Health Support EMNLP 2024 Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies NeurIPS 2024 Can a transformer represent a Kalman filter? L4DC 2024 Can Automatic Metrics Assess High-Quality Translations? EMNLP 2024 Can ChatGPT’s Performance be Improved on Verb Metaphor Detection Tasks? Bootstrapping and Combining Tacit Knowledge ACL 2024 Can CLIP Help Sound Source Localization? WACV 2024 Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data ICML 2024 CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning ACL 2024 Can docstring reformulation with an LLM improve code generation? EACL 2024 Can Factual Statements Be Deceptive? The DeFaBel Corpus of Belief-based Deception COLING 2024 Can GPT-4 Recover Latent Semantic Relational Information from Word Associations? A Detailed Analysis of Agreement with Human-annotated Semantic Ontologies. COLING 2024 Can I trust You? LLMs as conversational agents EACL 2024 Can I Trust Your Answer? Visually Grounded Video Question Answering CVPR 2024 Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction CVPR 2024 Can Language Model Moderators Improve the Health of Online Discourse? NAACL 2024 Can Language Models Induce Grammatical Knowledge from Indirect Evidence? EMNLP 2024 Can Language Models Learn Embeddings of Propositional Logic Assertions? COLING 2024