1 code implementation • 18 Mar 2024 • Mingyang Song, Mao Zheng, Xuan Luo
While recent research endeavors have concentrated on developing Large Language Models (LLMs) with robust long-context capabilities, due to the lack of appropriate evaluation strategies, relatively little is known about how well the long-context capability and performance of leading LLMs (e. g., GPT-4 Turbo and Kimi Chat).
1 code implementation • 23 Dec 2023 • Mingyang Song, Xuelian Geng, Songfang Yao, Shilong Lu, Yi Feng, Liping Jing
Zero-shot keyphrase extraction aims to build a keyphrase extractor without training by human-annotated data, which is challenging due to the limited human intervention involved.
no code implementations • 30 Oct 2023 • Zhaowei Gao, Mingyang Song, Christopher Schroers, Yang Zhang
Our proposed method supports bidirectional spatio-temporal information propagation across multiple scales to leverage information in both space and time.
1 code implementation • 28 Apr 2023 • Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing
The recent PAC-Bayes IB uses information complexity instead of information compression to establish a connection with the mutual information generalization bound.
1 code implementation • 23 Mar 2023 • Mingyang Song, Haiyun Jiang, Shuming Shi, Songfang Yao, Shilong Lu, Yi Feng, Huafeng Liu, Liping Jing
Based on our findings, we conclude that ChatGPT has great potential for keyphrase generation.
no code implementations • 16 Mar 2023 • Mingyang Song, Yang Zhang, Tunç O. Aydın, Elham Amin Mansour, Christopher Schroers
To this end, we propose an effective generative model which utilizes clean features as guidance followed by noise injections into the network.
1 code implementation • NAACL 2022 • Mingyang Song, Yi Feng, Liping Jing
Meanwhile, considering the hierarchical structure hidden in the document, HyperMatch embeds both phrases and documents in the same hyperbolic space via a hyperbolic phrase encoder and a hyperbolic document encoder.
no code implementations • 17 Dec 2021 • Mingyang Song, Liping Jing
Specifically, a neural topic model is added in the neural-based sentence-level representation learning to adequately consider the central topic information for capturing the critical content in the original document.
no code implementations • 14 Dec 2021 • Mingyang Song, Liping Jing
Among them, the extractor identifies the salient sentences from the input document, and the abstractor generates a summary from the salient sentences.
no code implementations • 14 Dec 2021 • Mingyang Song, Yi Feng, Liping Jing
Document summarization, as a fundamental task in natural language generation, aims to generate a short and coherent summary for a given document.
no code implementations • EMNLP 2021 • Mingyang Song, Liping Jing, Lin Xiao
Keyphrase extraction is a fundamental task in Natural Language Processing, which usually contains two main parts: candidate keyphrase extraction and keyphrase importance estimation.
1 code implementation • 24 Jan 2021 • Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song
To address the challenge of insufficient training data on tail label classification, we propose a Head-to-Tail Network (HTTN) to transfer the meta-knowledge from the data-rich head labels to data-poor tail labels.