Showing 1–17 of 17 results
/ Date/ Name
Aug 30, 2024VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series ForecastersMay 15, 2025Parallel Scaling Law for Language ModelsOct 23, 2023ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual PromptJan 15, 2024JumpCoder: Go Beyond Autoregressive Coder via Online ModificationSep 13, 2024B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible TestsFeb 2, 2026SWE-Universe: Scale Real-World Verifiable Environments to MillionsJun 3, 2022Scalar is Not Enough: Vectorization-based Unbiased Learning to RankSep 27, 2023Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to RankJun 10, 2025SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven MannerJan 12, 2026MegaFlow: Large-Scale Distributed Orchestration System for the Agentic EraFeb 28, 2026Qwen3-Coder-Next Technical ReportOct 23, 2023Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution ShiftJul 17, 2025The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series ForecastingAug 6, 2025VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Vision BackbonesApr 9, 2026ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision?Oct 21, 2024Self-Explained Keywords Empower Large Language Models for Code GenerationAug 7, 2025ReCode: Reinforcing Code Generation with Reasoning-Process Rewards