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20212026
most citedOn the Robustness of Average Losses for Partial-Label Learning

1 citations · 1 across the 11 of their papers we have counts for

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cs.CL2024

Negative-Prompt-driven Alignment for Generative Language Model

Shiqi Qiao, Ning Xv, Biao Liu +1

Large language models have achieved remarkable capabilities, but aligning their outputs with human values and preferences remains a significant challenge. Existing alignment method…

cs.CL2024

Progressively Label Enhancement for Large Language Model Alignment

Biao Liu, Ning Xu, Xin Geng

Large Language Models (LLM) alignment aims to prevent models from producing content that misaligns with human expectations, which can lead to ethical and legal concerns. In the las…