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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)

FactLens: Benchmarking Fine-Grained Fact Verification ACL 2025 Factor Analysis with Correlated Topic Model for Multi-Modal Data AISTATS 2025 Factor Graph-based Interpretable Neural Networks ICLR 2025 Factorized Learning for Temporally Grounded Video-Language Models ICCV 2025 Factors affecting the in-context learning abilities of LLMs for dialogue state tracking Interspeech 2025 FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models EMNLP 2025 Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion ACL 2025 FACTS: A Factored State-Space Framework for World Modelling ICLR 2025 FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text NAACL 2025 Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models EMNLP 2025 FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees ICML 2025 FactTrack: Time-Aware World State Tracking in Story Outlines NAACL 2025 Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations ACL 2025 FADE: Why Bad Descriptions Happen to Good Features ACL 2025 FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression EMNLP 2025 FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection ICCV 2025 Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference CoRL 2025 Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation ACL 2025 Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training ICCV 2025 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models ICLR 2025 Fair and Efficient Completion of Indivisible Goods AAAI 2025 FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Interspeech 2025 FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models EMNLP 2025 Fair Division via the Cake-Cutting Share AAAI 2025 Fair Division with Market Values AAAI 2025