Search Results for author: Tianle Li

Found 10 papers, 4 papers with code

SWAG: Storytelling With Action Guidance

no code implementations5 Feb 2024 Zeeshan Patel, Karim El-Refai, Jonathan Pei, Tianle Li

Automated long-form story generation typically employs long-context large language models (LLMs) for one-shot creation, which can produce cohesive but not necessarily engaging content.

Story Generation

ImagenHub: Standardizing the evaluation of conditional image generation models

2 code implementations2 Oct 2023 Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen

Recently, a myriad of conditional image generation and editing models have been developed to serve different downstream tasks, including text-to-image generation, text-guided image editing, subject-driven image generation, control-guided image generation, etc.

Conditional Image Generation text-guided-image-editing

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

1 code implementation21 Sep 2023 Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang

Studying how people interact with large language models (LLMs) in real-world scenarios is increasingly important due to their widespread use in various applications.

Chatbot Instruction Following

DreamEdit: Subject-driven Image Editing

no code implementations22 Jun 2023 Tianle Li, Max Ku, Cong Wei, Wenhu Chen

In this work, we aspire to fill the void and propose two novel subject-driven sub-tasks, i. e., Subject Replacement and Subject Addition.

Image Generation Position

ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization

no code implementations1 Aug 2022 Lingbo Li, Tianle Li, Xinyi He, Mengyu Zhou, Shi Han, Dongmei Zhang

ASTA framework extracts data features by designing signatures based on expert knowledge, and enables data referencing at field- (chart) or cell-level (conditional formatting) with pre-trained models.

A Simple Yet Efficient Method for Adversarial Word-Substitute Attack

no code implementations7 May 2022 Tianle Li, Yi Yang

This research highlights that an adversary can fool a deep NLP model with much less cost.

text-classification Text Classification

Fake News Detection with Heterogeneous Transformer

1 code implementation6 May 2022 Tianle Li, Yushi Sun, Shang-Ling Hsu, Yanjia Li, Raymond Chi-Wing Wong

The heterogeneity in both news content and the relationship with other entities in social networks brings challenges to designing a model that comprehensively captures the local multi-modal semantics of entities in social networks and the global structural representation of the propagation patterns, so as to classify fake news effectively and accurately.

Fake News Detection

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