Jian Guan
6 papers in the PaperMetrix corpus
Papers by this author
-
An Integrated Method Based on PSO and EDA for the Max-Cut Problem
2016 · Computational Intelligence and Neuroscience
The max-cut problem is NP-hard combinatorial optimization problem with many real world applications. In this paper, we propose an integrated method based on particle swarm optimization and estimation of distribution algorithm (PSO-EDA) for solving the …
-
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation
2020
Despite the success of existing referenced metrics (e.g., BLEU and MoverScore), they correlate poorly with human judgments for openended text generation including story or dialog generation because of the notorious oneto-many issue: there are many …
-
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
2021 · arXiv (Cornell University)
Generating long and coherent text is an important but challenging task, particularly for open-ended language generation tasks such as story generation. Despite the success in modeling intra-sentence coherence, existing generation models (e.g., BART) still struggle …
-
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models
2024 · arXiv (Cornell University)
Tables are ubiquitous across various domains for concisely representing structured information. Empowering large language models (LLMs) to reason over tabular data represents an actively explored direction. However, since typical LLMs only support one-dimensional~(1D) inputs, existing …
-
AutoPR: Let's Automate Your Academic Promotion!
2025 · arXiv (Cornell University)
As the volume of peer-reviewed research surges, scholars increasingly rely on social platforms for discovery, while authors invest considerable effort in promoting their work to ensure visibility and citations. To streamline this process and reduce …
-
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
2020 · Transactions of the Association for Computational Linguistics
Story generation, namely, generating a reasonable story from a leading context, is an important but challenging task. In spite of the success in modeling fluency and local coherence, existing neural language generation models (e.g., GPT-2) …