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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)

Don’t Just Say “I don’t know”! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations EMNLP 2024 Don't Look Twice: Faster Video Transformers with Run-Length Tokenization NeurIPS 2024 Don’t Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation ACL 2024 Don’t Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With Attention EMNLP 2024 Don’t trust your eyes: on the (un)reliability of feature visualizations ICML 2024 Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NeurIPS 2024 Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes CVPR 2024 dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans NeurIPS 2024 Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST! ACL 2024 DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent) ICML 2024 DoRA: Weight-Decomposed Low-Rank Adaptation ICML 2024 DORY: Deliberative Prompt Recovery for LLM ACL 2024 DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures COLING 2024 Do's and Don'ts: Learning Desirable Skills with Instruction Videos NeurIPS 2024 Do Speaker-dependent Vowel Characteristics depend on Speech Style? Interspeech 2024 Do Text-to-Vis Benchmarks Test Real Use of Visualisations? EMNLP 2024 Do *they* mean ‘us’? Interpreting Referring Expression variation under Intergroup Bias EMNLP 2024 Do Topological Characteristics Help in Knowledge Distillation? ICML 2024 Double Auction on Diffusion Network AAAI 2024 Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024 Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search NeurIPS 2024 DoubleLingo: Causal Estimation with Large Language Models NAACL 2024 Doubly Abductive Counterfactual Inference for Text-based Image Editing CVPR 2024 Doubly Mild Generalization for Offline Reinforcement Learning NeurIPS 2024 Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning ICML 2024