SST-2

The SST-2 dataset is a benchmark that contains sentiment analysis data used to evaluate the performance of models in understanding and classifying the sentiment of sentences as positive or negative.

Papers using SST-2 (8)

LLM Zeroth-Order Fine-Tuning is an Inference Workload2026RPAM: A Principled Metric for Evaluating Associations in Language Models with High Predictive Validity in Downstream Outputs2026Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks2025 · 1 citesCost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production2026Unforgotten Safety: Preserving Safety Alignment of Large Language Models with Continual Learning2025<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs2025Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study2025CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt2024