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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)

D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NeurIPS 2024 DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024 dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving OSDI 2024 DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models EMNLP 2024 DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations ICLR 2024 D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup NeurIPS 2024 DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling ACL 2024 DMON: A Simple Yet Effective Approach for Argument Structure Learning COLING 2024 DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genomes ICLR 2024 DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text ICLR 2024 DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation ICML 2024 D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models SemEval 2024 Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs COLING 2024 Do causal predictors generalize better to new domains? NeurIPS 2024 DocCGen: Document-based Controlled Code Generation EMNLP 2024 DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding EMNLP 2024 DocFinQA: A Long-Context Financial Reasoning Dataset ACL 2024 DocFormerv2: Local Features for Document Understanding AAAI 2024 DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing EMNLP 2024 DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models EMNLP 2024 Do Clinicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation ACL 2024 DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding ACL 2024 Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study NeurIPS 2024 DocPilot: Copilot for Automating PDF Edit Workflows in Documents ACL 2024 DocScript: Document-level Script Event Prediction COLING 2024