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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)

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NeurIPS 2024 A Textual Modal Supplement Framework for Understanding Multi-Modal Figurative Language NAACL 2024 ATG: Benchmarking Automated Theorem Generation for Generative Language Models NAACL 2024 Athena: Safe Autonomous Agents with Verbal Contrastive Learning EMNLP 2024 A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks ICML 2024 A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NeurIPS 2024 A theoretical design of concept sets: improving the predictability of concept bottleneck models NeurIPS 2024 A Theoretical Perspective for Speculative Decoding Algorithm NeurIPS 2024 A Theoretical Understanding of Self-Correction through In-context Alignment NeurIPS 2024 A Theory of Interpretable Approximations COLT 2024 A Theory of Non-acyclic Generative Flow Networks AAAI 2024 A Thesis Proposal ClaimInspector Framework: A Hybrid Approach to Data Annotation using Fact-Checked Claims and LLMs EACL 2024 A Thorough Examination of Decoding Methods in the Era of LLMs EMNLP 2024 ATLAS: Improving Lay Summarisation with Attribute-based Control ACL 2024 ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024 Atomic Inference for NLI with Generated Facts as Atoms EMNLP 2024 Atomic Self-Consistency for Better Long Form Generations EMNLP 2024 A Tool for Determining Distances and Overlaps between Multimodal Annotations COLING 2024 A Touch, Vision, and Language Dataset for Multimodal Alignment ICML 2024 ATQ: Activation Transformation forWeight-Activation Quantization of Large Language Models EMNLP 2024 A Training Data Recipe to Accelerate A* Search with Language Models EMNLP 2024 A Transformer-Based Voice Activity Detector Interspeech 2024 A Transformer with Stack Attention NAACL 2024 A Trip Towards Fairness: Bias and De-Biasing in Large Language Models NAACL 2024 A Trusted Multi-View Evidential Fusion Framework for Commonsense Reasoning COLING 2024