Search Results for author:
Found 5 papers, 3 papers with code
WaterPark: A Robustness Assessment of Language Model Watermarking
iii) How to optimally operate watermarkers in adversarial environments?
PepMLM: Target Sequence-Conditioned Generation of Therapeutic Peptide Binders via Span Masked Language Modeling
Target proteins that lack accessible binding pockets and conformational stability have posed increasing challenges for drug development.
PETA: Parameter-Efficient Trojan Attacks
Parameter-efficient fine-tuning (PEFT) enables efficient adaptation of pre-trained language models (PLMs) to specific tasks.
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Based on ToolBench, we fine-tune LLaMA to obtain an LLM ToolLLaMA, and equip it with a neural API retriever to recommend appropriate APIs for each instruction.
Ranked #3 on
Trajectory Planning
on ToolBench
Monitoring and Adapting ML Models on Mobile Devices
ML models are increasingly being pushed to mobile devices, for low-latency inference and offline operation.
