Showing 1–20 of 23 results
/ Date/ Name
Jun 28, 2022Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products PredictionJun 5, 2024PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference PairsMay 8, 2023Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge DistillationOct 4, 2024LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression StrategyDec 16, 2021Knowledge-enhanced Session-based Recommendation with Temporal TransformerJun 5, 2023Local Boosting for Weakly-Supervised LearningMay 18, 2023ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense RetrievalDec 26, 2021Attributed Graph Neural Networks for Recommendation Systems on Large-Scale and Sparse GraphOct 24, 2025Self-Rewarding PPO: Aligning Large Language Models with Demonstrations OnlyOct 5, 2020SeqMix: Augmenting Active Sequence Labeling via Sequence MixupMar 17, 2024ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language ModelsSep 15, 2022Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation ApproachJan 24, 2024TPD: Enhancing Student Language Model Reasoning via Principle Discovery and GuidanceJun 14, 2019Improving Multi-turn Dialogue Modelling with Utterance ReWriterMar 18, 2022PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised LearningFeb 10, 2025Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-TrainingMay 12, 2025MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning EngineeringJan 30, 2026HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement LearningOct 14, 2025Precise Attribute Intensity Control in Large Language Models via Targeted Representation EditingJun 10, 2024Aligning Large Language Models with Representation Editing: A Control Perspective