Showing 1–20 of 20 results
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May 28, 2025What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought ReasoningOct 19, 2023Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork PromptJun 18, 2024Refine Large Language Model Fine-tuning via Instruction VectorApr 27, 2022Self-Supervised Text Erasing with Controllable Image SynthesisFeb 16, 2025Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction TuningFeb 28, 2021Automated Creative Optimization for E-Commerce AdvertisingJul 29, 2023Continual Learning in Predictive AutoscalingAug 11, 2023Deep Task-specific Bottom Representation Network for Multi-Task RecommendationNov 1, 2023On the Opportunities of Green Computing: A SurveyFeb 22, 2024Understanding and Patching Compositional Reasoning in LLMsNov 8, 2025Klear-AgentForge: Forging Agentic Intelligence through Posttraining ScalingFeb 28, 2025Learning to Substitute Components for Compositional GeneralizationApr 2, 2026On the Role of Reasoning Patterns in the Generalization Discrepancy of Long Chain-of-Thought Supervised Fine-TuningMar 2, 2021Efficient Optimal Selection for Composited Advertising Creatives with Tree StructureJun 18, 2024Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt TuningJul 31, 2023When Large Language Models Meet Personalization: Perspectives of Challenges and OpportunitiesOct 8, 2023Prompt-augmented Temporal Point Process for Streaming Event SequenceJan 29, 2026Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language ModelsFeb 5, 2025GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series DataJun 17, 2024DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models