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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 Multimodal Benchmark and Improved Architecture for Zero Shot Learning WACV 2024 A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis ECCV 2024 A Multimodal Framework for the Assessment of the Schizophrenia Spectrum Interspeech 2024 A Multimodal Framework to Detect Target Aware Aggression in Memes EACL 2024 A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation COLING 2024 A Multimodal Large Language Model “Foresees” Objects Based on Verb Information but Not Gender CoNLL 2024 A Multimodal, Multi-Task Adapting Framework for Video Action Recognition AAAI 2024 A Multi-Perspective Analysis of Memorization in Large Language Models EMNLP 2024 A Multitask Training Approach to Enhance Whisper with Open-Vocabulary Keyword Spotting Interspeech 2024 A Multi-Task Transformer Model for Fine-grained Labelling of Chest X-Ray Reports COLING 2024 A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs IJCAI 2024 An Adversarial Example for Direct Logit Attribution: Memory Management in GELU-4L EMNLP 2024 ANAH: Analytical Annotation of Hallucinations in Large Language Models ACL 2024 ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models NeurIPS 2024 An Algorithmic Framework for the Optimization of Deep Neural Networks Architectures and Hyperparameters JMLR 2024 AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies EMNLP 2024 Analysing relevance of Discourse Structure for Improved Mental Health Estimation EACL 2024 Analysing the Generalisation and Reliability of Steering Vectors NeurIPS 2024 Analysing The Impact of Sequence Composition on Language Model Pre-Training ACL 2024 Analysing Translation Artifacts: A Comparative Study of LLMs, NMTs, and Human Translations EMNLP 2024 Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts ICML 2024 Analysis of Pathological Speech – Pitfalls along the Way Interspeech 2024 Analysis of Plan-based Retrieval for Grounded Text Generation EMNLP 2024 Analysis of State-Level Legislative Process in Enhanced Linguistic and Nationwide Network Contexts NAACL 2024 Analytically Tractable Models for Decision Making under Present Bias AAAI 2024