Papers by Panpan Zhang

3 papers
FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks (2021.emnlp-main)

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Challenge: obtaining large amounts of labeled data is expensive.
Approach: They develop a semi-supervised learning framework called FLiText which improves text classification accuracy.
Outcome: The proposed framework improves accuracy of lightweight models on IMDb, Yelp-5, and Yahoo! Answer . the framework improve accuracy by 6.59%, 3.94%, and 3.22% on the datasets of IMDa, Yep-5 and Yahoo. Answer compared with the fully supervised method on the full dataset .
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning (2025.acl-long)

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Challenge: Existing approaches focus on action selection or use pre-trained models as world models to enhance planning capabilities.
Approach: They propose a new learning framework that optimizes state prediction and action selection through preference learning.
Outcome: The proposed method outperforms existing methods and GPT-4o on VoTa-Bench and Qwen2-VL (7B), LLaVA-1.6 (7B) and LLama-3.2 (11B).
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition (2021.acl-demo)

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Challenge: TEXTOIR is the first integrated platform for text open intent recognition . currently, many dialogue systems are limited to handle the uncertain open intents .
Approach: TEXTOIR is the first integrated platform for text open intent recognition . it is composed of two main modules: open intent detection and open intent discovery . authors propose a framework to implement a complete process to identify known intents and discover open intents .
Outcome: TEXTOIR is the first integrated and visualized platform for text open intent recognition . it integrates state-of-the-art algorithms and benchmark intent datasets . however, there are still some issues, which bring difficulties for future research .

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