21 citations · 34 across the 8 of their papers we have counts for
8 papers
Long-context LLMs Struggle with Long In-context Learning
Tianle Li, Ge Zhang, Quy Duc Do +2
Large Language Models (LLMs) have made significant strides in handling long sequences. Some models like Gemini could even to be capable of dealing with millions of tokens. However,…
ImagenHub: Standardizing the evaluation of conditional image generation models
Max Ku, Tianle Li, Kai Zhang +4
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…
DreamEdit: Subject-driven Image Editing
Tianle Li, Max Ku, Cong Wei +1
Subject-driven image generation aims at generating images containing customized subjects, which has recently drawn enormous attention from the research community. However, the prev…
Few-shot In-context Learning for Knowledge Base Question Answering
Tianle Li, Xueguang Ma, Alex Zhuang +3
Question answering over knowledge bases is considered a difficult problem due to the challenge of generalizing to a wide variety of possible natural language questions. Additionall…
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou +7
Tabular data analysis is performed every day across various domains. It requires an accurate understanding of field semantics to correctly operate on table fields and find common p…
ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization
Lingbo Li, Tianle Li, Xinyi He +3
Intelligent analysis and visualization of tables use techniques to automatically recommend useful knowledge from data, thus freeing users from tedious multi-dimension data mining.…
A Simple Yet Efficient Method for Adversarial Word-Substitute Attack
Tianle Li, Yi Yang
NLP researchers propose different word-substitute black-box attacks that can fool text classification models. In such attack, an adversary keeps sending crafted adversarial queries…
Fake News Detection with Heterogeneous Transformer
Tianle Li, Yushi Sun, Shang-ling Hsu +2
The dissemination of fake news on social networks has drawn public need for effective and efficient fake news detection methods. Generally, fake news on social networks is multi-mo…