Showing 1–16 of 16 results
/ Date/ Name
Mar 3, 2026How Controllable Are Large Language Models? A Unified Evaluation across Behavioral GranularitiesFeb 26, 2026SkillNet: Create, Evaluate, and Connect AI SkillsFeb 2, 2026Why Steering Works: Toward a Unified View of Language Model Parameter DynamicsOct 20, 2025What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge RepresentationsJun 24, 2025Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical StudyMay 20, 2025Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional TrainingOct 16, 2024Exploring Model Kinship for Merging Large Language ModelsJul 2, 2024To Forget or Not? Towards Practical Knowledge Unlearning for Large Language ModelsFeb 25, 2024InstructEdit: Instruction-based Knowledge Editing for Large Language ModelsJun 13, 2023Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsMay 27, 2022Multi-modal Protein Knowledge Graph Construction and ApplicationsMay 22, 2022Relphormer: Relational Graph Transformer for Knowledge Graph RepresentationsMay 4, 2022Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionApr 9, 2022Contrastive Demonstration Tuning for Pre-trained Language ModelsJun 15, 2021CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkApr 11, 2021Disentangled Contrastive Learning for Learning Robust Textual Representations