KDD 2026-Training aGeneralist Hallucination Detector across Multiple Domains via Adaptive Layer Agg. @TheOfficialACM
KDD 2026-Training aGeneralist Hallucination Detector across Multiple Domains via Adaptive Layer Agg. @TheOfficialACM
Uploaded July 2026 | Updated September 2026, 2 weeks ago
Xinyi Li, Zhen Fang, Yadan Luo, Yongxin Deng, Sean Du, Shanshan Ye, Ling Chen
KDD 2026-Training aGeneralist Hallucination Detector across Multiple Domains via Adaptive Layer Agg.KDD 2026 - TimeBlocks: Versatile and Continual Time-Series BlockbaseSEAR: Schema-Based Evaluation and Routing for LLM GatewaysKDD 2026 - Smallholder Agricultural Landscape Understanding at a National ScaleKDD 2026 - Learning Peer Influence Probabilities with Linear Contextual BanditsKDD 2026 - Macro Graph of Experts for Billion-Scale Multi-Task RecommendationKDD2026-DSPR: Dual-StreamPhysics-Residual Networks for Trustworthy Industrial Time SeriesForecastingFLASC: Federated LoRA with Sparse CommunicationKDD 2026 - AutoOrbit: Physics-Informed Satellite Orbit PredictionKDD2026-UNITE:A UnifiedFramework for Accu. andEfficientOrigin-Destination andRouteTravelTimeEstim.KDD 2026 - Retrv-MoE: Scaling Unified Multimodal Retrieval with Sparse Mixture-of-ExpertsKDD 2026 - Balanced Multimodal Federated Learning: An Efficient and Noise-Resilient Approach
Association for Computing Machinery (ACM) |

KDD 2026-Training aGeneralist Hallucination Detector across Multiple Domains via Adaptive Layer Agg.

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