Papers by Yuanchi Zhang
ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models (2025.acl-long)
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Ziyue Wang, Chi Chen, Fuwen Luo, Yurui Dong, Yuanchi Zhang, Yuzhuang Xu, Xiaolong Wang, Peng Li, Yang Liu
| Challenge: | Existing benchmarks for evaluating MLLMs have not addressed active perception . a novel benchmark is proposed to evaluate active perception in ML models . |
| Approach: | They propose a benchmark to evaluate active perception in Multimodal Large Language Models . they restrict the perceptual field of a model and require it to actively zoom or shift it . |
| Outcome: | The proposed benchmark focuses on a specialized form of Visual Question Answering (VQA) that eases and quantifies the evaluation yet challenging for existing MLLMs. |
Perspective Transition of Large Language Models for Solving Subjective Tasks (2025.findings-acl)
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| Challenge: | Large language models (LLMs) have revolutionized the field of natural language processing . performance of LLMs on subjective tasks is limited, authors say . |
| Approach: | They propose a method that allows LLMs to select between direct, role, and third-person perspectives for best way to solve corresponding subjective problem. |
| Outcome: | The proposed method outperforms widely used single fixed perspective based methods on 12 subjective tasks. |
DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articles (2022.lrec-1)
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| Challenge: | Existing methods to extract and attribute quotations from news data are difficult and require a lot of effort. |
| Approach: | They propose a corpus of 19,760 paragraphs and 10,279 direct quotations manually annotated from online news media. |
| Outcome: | The proposed corpus contains 19,760 paragraphs and 10,279 direct quotations manually annotated from online news media. |
Continual Knowledge Distillation for Neural Machine Translation (2023.acl-long)
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| Challenge: | Current parallel corpora are not publicly accessible but trained models are more readily available. |
| Approach: | They propose a method to take advantage of existing translation models to improve one model of interest. |
| Outcome: | The proposed method improves on Chinese-English and German-English datasets and is robust to malicious models. |
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages (2024.acl-long)
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| Challenge: | Contemporary large language models (LLMs) are pre-trained on multilingual corpora, but their performance lags behind in most languages compared to a few resource-rich languages. |
| Approach: | They propose a method that leverages the internal capabilities of large language models on resource-rich languages to enhance multilingual performance. |
| Outcome: | The proposed method improves multilingual performance while minimizing impact on original performance in resource-rich languages. |
Boundary Matters: Leveraging Structured Text Plots for Long Text Outline Generation (2025.findings-emnlp)
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| Challenge: | Existing methods for generating readable outlines are inability to segment long texts . |
| Approach: | They propose an unsupervised framework to guide large language model outline generation . framework ensures each structured plot encapsulates complete causality by accurately identifying plot boundaries. |
| Outcome: | The proposed framework ensures that each structured plot encapsulates complete causality by accurately identifying plot boundaries. |