Papers by Dongsheng Guo

2 papers
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models (2024.emnlp-main)

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Challenge: Recent research suggests that watermarking methods cause degradation of text quality due to semantic disparities between the watermarked text and the unwatermarked text.
Approach: They propose a semantic-aware watermark method that generates a watermark key considering contexts to split a green/red list for watermark injection.
Outcome: The proposed method reduces performance drop due to adding bias on green lists . it also allows green lists to cover almost all semantics .
PEPE: Long-context Extension for Large Language Models via Periodic Extrapolation Positional Encodings (2025.findings-emnlp)

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Challenge: Long-context extension attempts to extend contextual window in pre-trained LLMs . primary method involves expanding initial positional encodings, disrupting positional learning .
Approach: They propose a new extension strategy based on Rotary Position Embedding to extend contextual window in pre-trained large language models.
Outcome: The proposed method can extend the contextual window in pre-trained large language models . expansion disrupts positional encodings learned during pre-training, authors show .

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