evaluation protocol 1feed-forward network gating 1inference-time intervention 1structured output generation 1tool-using agents 1
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cs.CL2026
Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results
Sheng Xu, Junhua Wang, Boyuan Huang +4
The paper proposes Amplitude Gating, an inference‑time method that adjusts FFN activation magnitudes to improve tool‑structured outputs of large language models without changing mo…
cs.CL2025
Semantic Consistency Regularization with Large Language Models for Semi-supervised Sentiment Analysis
Kunrong Li, Xinyu Liu, Zhen Chen
Accurate sentiment analysis of texts is crucial for a variety of applications, such as understanding customer feedback, monitoring market trends, and detecting public sentiment. Ho…