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Artificial Intelligence

83,018 papers (0 classified directly here)

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Papers (including subtopics)

An Empirical Bayes Perspective on Heteroskedastic Mean Estimation COLT 2026 An Empirical Study of Collective Behaviors and Social Dynamics in Large Language Model Agents EACL 2026 An Empirical Study on How Video-LLMs Answer Video Questions CVPR 2026 An Epistemic Perspective on Agent Awareness AAAI 2026 An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal ACL 2026 An Experimental Study on the Influence of Culture on Cross-Lingual Sentiment Transfer ACL 2026 AniMimic: Imitating 3D Animation from Video Priors CVPR 2026 An Information Theoretic Evaluation Metric for Strong Unlearning AAAI 2026 An Information-Theoretic Study of RLHF-Induced Uniformity in Large Language Model Outputs CoNLL 2026 An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies AAAI 2026 AniTales: End-to-End Multimodal Story Generation Through Natural Language Prompting (Student Abstract) AAAI 2026 An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply Chains AAAI 2026 An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling AAAI 2026 Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA Framework EACL 2026 An NTK Theory Approach to UCB Estimation in Semi-gradient TD Learning UAI 2026 Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation AAAI 2026 Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization CVPR 2026 Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows UAI 2026 Anomaly-Related Residual Fields for Cross-domain Anomaly Detection CVPR 2026 A Novel Fine-Tuned CLIP-OOD Detection Method with Double Loss Constraint Through Optimal Transport Semantic Alignment AAAI 2026 A novel hybrid approach for positive-valued DAG learning CLeaR 2026 A Novel Matching Paradigm: Unified Generative and Discriminative LLM with Prompt Compression for Relevance Learning ACL 2026 Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models AAAI 2026 Answering the Wrong Question: Reasoning Trace Inversion for Abstention in LLMs ACL 2026 AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs AAAI 2026