fine-tuned models
- A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
- Activation-Guided Consensus Merging for Large Language Models
- Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
- Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging
- PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework
- ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization