Papers by Jipeng Qiang
Chinese Lexical Substitution: Dataset and Method (2023.emnlp-main)
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| Challenge: | Existing benchmarks for lexical substitution (LS) are limited and limited in coverage . despite extensive research on Lexical Substitution in various languages, there is limited evidence for LS in Chinese. |
| Approach: | They propose to use human and machine collaboration to construct a Chinese LS dataset . they combine four unsupervised LS methods to generate candidate substitutes . |
| Outcome: | The proposed method outperforms existing benchmarks on the Chinese lexical substitution task. |
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages (2021.findings-emnlp)
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| Challenge: | Existing methods to build parallel sentence simplification corpora are limited . SS is used to rephrase sentences into simpler forms for those with cognitive disabilities . |
| Approach: | They propose to build SS corpora from large-scale bilingual translation corpors using a parallel approach. |
| Outcome: | The proposed method outperforms the existing methods on WikiLarge and achieves state-of-the-art results. |
ParaLS: Lexical Substitution via Pretrained Paraphraser (2023.acl-long)
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| Challenge: | Lexical substitution (LS) is an extremely powerful technology that can be used as a backbone of various NLP applications such as writing assistance. |
| Approach: | They propose two simple decoding strategies that focus on the variations of the target word during decoding to generate substitutes from a paraphraser. |
| Outcome: | The proposed methods outperform state-of-the-art LS methods based on pre-trained language models on three benchmarks. |
Chinese Idiom Paraphrasing (2023.tacl-1)
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| Challenge: | Chinese idioms are hard to understand by children and non-native speakers due to their non-compositionality and metaphorical meaning. |
| Approach: | They propose a task to rephrase idiom-containing sentences to non-idiomatic ones under the premise of preserving the original sentence’s meaning. |
| Outcome: | The proposed method has better performance than baselines based on the established dataset. |
Chinese Morph Resolution in E-commerce Live Streaming Scenarios (2025.naacl-industry)
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| Challenge: | Live morph resolution task is used to detect e-commerce live streaming violations . morphs are used to evade scrutiny and engage in false advertising . |
| Approach: | They propose a task to detect morph violations in live streaming scenarios . they use large language models to generate additional training data . |
| Outcome: | The proposed method improves performance and improves live streaming regulation. |
Collaborative Document Simplification Using Multi-Agent Systems (2025.coling-main)
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| Challenge: | Document simplification requires complex factors such as technical terminology, metaphors, and overall coherence. |
| Approach: | They propose a multi-agent framework for document simplification based on large language models that emulates the collaborative process of a human expert team through the roles played by multiple agents. |
| Outcome: | The proposed framework emulates the collaborative process of a human expert team through the roles played by multiple agents, addressing the intricate demands of document simplification. |
Post-Hoc Watermarking for Robust Detection in Text Generated by Large Language Models (2025.coling-main)
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| Challenge: | Existing methods for document simplification address complex factors such as technical terminology, metaphors, and overall coherence. |
| Approach: | They propose a multi-agent framework AgentSimp for document simplification based on large language models that simulates collaboration among agents through roles played by multiple agents. |
| Outcome: | The proposed framework produces simplified documents that are more thoroughly simplified and more coherent across various articles and styles. |
AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration (2025.acl-demo)
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| Challenge: | Interpretative audiobooks are becoming more popular, but their manual creation process remains time-consuming and resource-intensive. |
| Approach: | They propose a multi-agent collaboration system that leverages large language models and speech synthesis technology to generate podcast-like audiobook interpretations. |
| Outcome: | The proposed system is open source and open to the public. |
Chinese Live-Streaming E-Commerce Morph Resolution: Datasets and Methods (2026.findings-acl)
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| Challenge: | Live-stream E-commerce faces significant challenges from morphs, deliberate linguistic variants used to evade real-time voice filters and amplify product claims illegally. |
| Approach: | They propose a framework that resolves morphs and generates structured explanations . they propose morph-aware dual-output refinement framework that detects inconsistencies . |
| Outcome: | The proposed framework improves morph resolution accuracy and interpretability. |