activity
20212024
most citedLICHEE: Improving Language Model Pre-training with Multi-grained Tokenization

6 citations · 14 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CL2024★ 1 cited

SIFiD: Reassess Summary Factual Inconsistency Detection with LLM

Jiuding Yang, Hui Liu, Weidong Guo +3

Ensuring factual consistency between the summary and the original document is paramount in summarization tasks. Consequently, considerable effort has been dedicated to detecting in…

cs.CV2024★ 3 cited

High-Quality Entity Segmentation and Grounding

Lu Qi, Yi-Wen Chen, Tao Zhang +4

In this work, we propose ESG, a pipeline for high-quality entity segmentation and grounding supported by a new dataset EntitySeg. At first, the proposed dataset naming EntitySeg co…

cs.CV2023

UniGS: Unified Representation for Image Generation and Segmentation

Lu Qi, Lehan Yang, Weidong Guo +4

This paper introduces a novel unified representation of diffusion models for image generation and segmentation. Specifically, we use a colormap to represent entity-level masks, add…

cs.AI2023

Instruction Fusion: Advancing Prompt Evolution through Hybridization

Weidong Guo, Jiuding Yang, Kaitong Yang +4

The fine-tuning of Large Language Models (LLMs) specialized in code generation has seen notable advancements through the use of open-domain coding queries. Despite the successes, e…

cs.AI2023★ 2 cited

ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis

Yakun Yu, Mingjun Zhao, Shi-ang Qi +6

Multimodal Sentiment Analysis leverages multimodal signals to detect the sentiment of a speaker. Previous approaches concentrate on performing multimodal fusion and representation…

cs.CV2023★ 1 cited

AIMS: All-Inclusive Multi-Level Segmentation

Lu Qi, Jason Kuen, Weidong Guo +5

Despite the progress of image segmentation for accurate visual entity segmentation, completing the diverse requirements of image editing applications for different-level region-of-…

cs.CV2023

TCR: Short Video Title Generation and Cover Selection with Attention Refinement

Yakun Yu, Jiuding Yang, Weidong Guo +3

With the widespread popularity of user-generated short videos, it becomes increasingly challenging for content creators to promote their content to potential viewers. Automatically…

cs.CV2023★ 1 cited

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation

Ji Qi, Jifan Yu, Teng Tu +12

Despite the recent emergence of video captioning models, how to generate vivid, fine-grained video descriptions based on the background knowledge (i.e., long and informative commen…

cs.CL2022

Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes

Jiuding Yang, Jinwen Luo, Weidong Guo +3

Nested Named Entity Recognition (NNER) has been a long-term challenge to researchers as an important sub-area of Named Entity Recognition. NNER is where one entity may be part of a…

cs.CL2022

Contrastive Learning enhanced Author-Style Headline Generation

Hui Liu, Weidong Guo, Yige Chen +1

Headline generation is a task of generating an appropriate headline for a given article, which can be further used for machine-aided writing or enhancing the click-through ratio. C…

cs.CV2022

High-Quality Entity Segmentation

Lu Qi, Jason Kuen, Weidong Guo +5

Dense image segmentation tasks e.g., semantic, panoptic) are useful for image editing, but existing methods can hardly generalize well in an in-the-wild setting where there are unr…

cs.CV2021

CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation

Lu Qi, Jason Kuen, Zhe Lin +7

To improve instance-level detection/segmentation performance, existing self-supervised and semi-supervised methods extract either task-unrelated or task-specific training signals f…

cs.LG2021

TAG: Toward Accurate Social Media Content Tagging with a Concept Graph

Jiuding Yang, Weidong Guo, Bang Liu +6

Although conceptualization has been widely studied in semantics and knowledge representation, it is still challenging to find the most accurate concept phrases to characterize the…

cs.CL2021★ 6 cited

LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization

Weidong Guo, Mingjun Zhao, Lusheng Zhang +5

Language model pre-training based on large corpora has achieved tremendous success in terms of constructing enriched contextual representations and has led to significant performan…