Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026
Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation
Haozhan Tang, Xiuqi Zhu, Xinyin Zhang +3
Recent literature on fine-tuning Large Language Models highlights a fundamental debate. While Full Fine-Tuning (FFT) provides the representational plasticity required for high-entr…
cs.CL2026
Automated Concept Discovery for LLM-as-a-Judge Preference Analysis
James Wedgwood, Chhavi Yadav, Virginia Smith
Large Language Models (LLMs) are increasingly used as scalable evaluators of model outputs, but their preference judgments exhibit systematic biases and can diverge from human eval…
cs.CL2025
Semantic Agreement Enables Efficient Open-Ended LLM Cascades
Duncan Soiffer, Steven Kolawole, Virginia Smith
Cascade systems route computational requests to smaller models when possible and defer to larger models only when necessary, offering a promising approach to balance cost and quali…