Linear Warmup With Linear Decay
Description
Linear Warmup With Linear Decay is a learning rate schedule in which we increase the learning rate linearly for updates and then linearly decay afterwards.
Papers Using This Method
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression2025-07-08AI Generated Text Detection Using Instruction Fine-tuned Large Language and Transformer-Based Models2025-07-07Knowledge Protocol Engineering: A New Paradigm for AI in Domain-Specific Knowledge Work2025-07-03CyberRAG: An agentic RAG cyber attack classification and reporting tool2025-07-03Robustness of Misinformation Classification Systems to Adversarial Examples Through BeamAttack2025-06-30Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality2025-06-26PsyLite Technical Report2025-06-26EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora2025-06-26Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation2025-06-26AI Assistants to Enhance and Exploit the PETSc Knowledge Base2025-06-25CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation2025-06-25Knowledge-Aware Diverse Reranking for Cross-Source Question Answering2025-06-25Memento: Note-Taking for Your Future Self2025-06-25Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation2025-06-25Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks2025-06-24Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs2025-06-24Controlled Retrieval-augmented Context Evaluation for Long-form RAG2025-06-24Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment2025-06-24KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models2025-06-24T-CPDL: A Temporal Causal Probabilistic Description Logic for Developing Logic-RAG Agent2025-06-23