KDD 2026 - Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis @TheOfficialACM

KDD 2026 - Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis @TheOfficialACM

Uploaded July 2026 | Updated September 2026, 2 weeks ago

Zhisong Qiu, Shuofei Qiao, Kewei Xu, Yuqi Zhu, Lun Du, Ningyu Zhang, Huajun Chen

KDD 2026 - Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis

CAIS 2026 | Keynote: Andy Konwinski (Laude Institute)

KDD 2026 - Mapping LLM Capability Frontiers via Formalized and Calibrated Probes

KDD 2026 - Strainer: Encrypted Video Traffic Identification for Mixed Segment Transmission Pattern

SIGIR 2024 T2.4 [fp] Disentangled Contrastive Hypergraph Learning for Next POI Recommendation

Securing the Agent: Vendor-Neutral, Multitenant Enterprise Retrieval and Tool Use

KDD 2026-FedTail-DT:ADual-TeacherFramework forLong-Tailed Heterog.FLwithCLIP Protot. andAdaptiveAgg.

KDD 2026 - Beyond Language Processing: LLMs Rules-Injected Instruction Tuning for Traffic Prediction

KDD 2026: DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrieval

KDD2026-Alignment-Free Multi-Modality Large-Small Model Bidirectional Collab. with Missing Modality

KDD 2026-MGTA: Multi-scale Graph Tokens Alignment for CTR Prediction via Pre-trained Language Models

KDD2026-BridgingFront-Door Adjustment and Information Bottleneck for Identifiable Causal Represent.

Association for Computing Machinery (ACM) |

KDD 2026 - Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis