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Lefan Zhang

2 accepted papers

2025

Learning Harmonized Representations for Speculative Sampling

ICLR 2025poster

Speculative sampling is a promising approach to accelerate the decoding stage for Large Language Models (LLMs). Recent advancements that leverage target LLM's contextual information, such as hidden states and KV cache, have shown significant practical improvements. However, these approaches suffer f…

2024

Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss

IJCAI 2024poster

The success of deep learning depends on large-scale and well-curated training data, while data in real-world applications are commonly long-tailed and noisy. Existing methods are usually dependent on label frequency to tackle class imbalance, while the model bias on different classes is not directly…

Cited by 3SourcePDFScholar