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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)

Aligning Large Language Models via Fine-grained Supervision ACL 2024 Aligning Large Language Models with Diverse Political Viewpoints EMNLP 2024 Aligning Large Language Models with Human Preferences through Representation Engineering ACL 2024 Aligning Large Language Models with Representation Editing: A Control Perspective NeurIPS 2024 Aligning Large Multimodal Models with Factually Augmented RLHF ACL 2024 Aligning LLM Agents by Learning Latent Preference from User Edits NeurIPS 2024 Aligning Model Properties via Conformal Risk Control NeurIPS 2024 Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation WACV 2024 Aligning Speech Segments Beyond Pure Semantics ACL 2024 Aligning to Thousands of Preferences via System Message Generalization NeurIPS 2024 Aligning Translation-Specific Understanding to General Understanding in Large Language Models EMNLP 2024 Aligning Uncertainty: Leveraging LLMs to Analyze Uncertainty Transfer in Text Summarization EACL 2024 Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms NeurIPS 2024 Alignment at Pre-training! Towards Native Alignment for Arabic LLMs NeurIPS 2024 Alignment-Based Decoding Policy for Low-Latency and Anticipation-Free Neural Japanese Input Method Editors ACL 2024 Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions EMNLP 2024 Alignment for Honesty NeurIPS 2024 AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis CVPR 2024 AlignRE: An Encoding and Semantic Alignment Approach for Zero-Shot Relation Extraction ACL 2024 AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning CVPR 2024 Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation COLING 2024 A Linear Algebraic Framework for Counterfactual Generation ICLR 2024 A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasks EMNLP 2024 Alirector: Alignment-Enhanced Chinese Grammatical Error Corrector ACL 2024 A Little of That Human Touch: Achieving Human-Centric Explainable AI via Argumentation IJCAI 2024