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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 Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners EMNLP 2024 A Perspectivist Corpus of Numbers in Social Judgements COLING 2024 API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs ACL 2024 A Picture Is Worth a Thousand Words: Co-designing Text-to-Image Generation Learning Materials for K-12 with Educators AAAI 2024 A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions CVPR 2024 APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets NeurIPS 2024 A Pilot Study of GSLM-based Simulation of Foreign Accentuation Only Using Native Speech Corpora Interspeech 2024 ApiQ: Finetuning of 2-Bit Quantized Large Language Model EMNLP 2024 A Planar-Symmetric SO(3) Representation for Learning Grasp Detection CoRL 2024 A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents EMNLP 2024 A Polar coordinate system represents syntax in large language models NeurIPS 2024 A Policy Gradient Method for Confounded POMDPs ICLR 2024 AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction EMNLP 2024 Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation EMNLP 2024 Applying Reinforcement Learning and Multi-Generators for Stage Transition in an Emotional Support Dialogue System Interspeech 2024 Applying RLAIF for Code Generation with API-usage in Lightweight LLMs ACL 2024 Approaching Human-Level Forecasting with Language Models NeurIPS 2024 Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models NSDI 2024 Approximate Control for Continuous-Time POMDPs AISTATS 2024 Approximate Dec-POMDP Solving Using Multi-Agent A* IJCAI 2024 Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization ICLR 2024 Approximating the Shapley Value without Marginal Contributions AAAI 2024 Approximation Algorithms for Observer Aware MDPs UAI 2024 Approximation Algorithms for Preference Aggregation Using CP-Nets AAAI 2024 Approximation Rate of the Transformer Architecture for Sequence Modeling NeurIPS 2024