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Weichang Liu

2 accepted papers

2025

TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance

EMNLP 2025

Large Language Models (LLMs) have made significant strides in problem-solving by incorporating reasoning processes. However, this enhanced reasoning capability results in an increased number of output tokens during inference, leading to higher computational costs. To address this challenge, we propo

Cited by 0SourcePDFScholar
2023

Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs

EMNLP 2023long main

Real-world named entity recognition (NER) datasets are notorious for their noisy nature, attributed to annotation errors, inconsistencies, and subjective interpretations. Such noises present a substantial challenge for traditional supervised learning methods. In this paper, we present a new and unif…

Cited by 0SourceScholar