Showing 1–19 of 19 results
/ Date/ Name
Oct 31, 2024DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake DetectionNov 24, 2025Towards Generalizable Deepfake Detection via Forgery-aware Audio-Visual Adaptation: A Variational Bayesian ApproachApr 7, 2025Weak-for-Strong: Training Weak Meta-Agent to Harness Strong ExecutorsJan 22, 2026DSGym: A Holistic Framework for Evaluating and Training Data Science AgentsNov 4, 2024FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free GuaranteesSep 24, 2023Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent SkillsSep 28, 2023Uncertainty-Aware Decision Transformer for Stochastic Driving EnvironmentsNov 4, 2025When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-ThoughtApr 14, 2026Peer-Predictive Self-Training for Language Model ReasoningJun 7, 2024Learning Divergence Fields for Shift-Robust Graph RepresentationsFeb 18, 2024Graph Out-of-Distribution Generalization via Causal InterventionNov 30, 2024TAROT: Targeted Data Selection via Optimal TransportAug 25, 2025UQ: Assessing Language Models on Unsolved QuestionsJun 19, 2025EvoLM: In Search of Lost Language Model Training DynamicsFeb 25, 2026Optimizing Neural Network Architecture for Medical Image Segmentation Using Monte Carlo Tree SearchMar 20, 2026Physion-Eval: Evaluating Physical Realism in Generated Video via Human ReasoningMar 25, 2024UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES AlignmentOct 21, 2024Generalizing Motion Planners with Mixture of Experts for Autonomous DrivingJun 19, 2023SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations