13 citations · 43 across the 8 of their papers we have counts for
8 papers
Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning
Jinyuan Wang, Junlong Li, Hai Zhao
In open-domain question-answering (ODQA), most existing questions require single-hop reasoning on commonsense. To further extend this task, we officially introduce open-domain mult…
Generative Judge for Evaluating Alignment
Junlong Li, Shichao Sun, Weizhe Yuan +3
The rapid development of Large Language Models (LLMs) has substantially expanded the range of tasks they can address. In the field of Natural Language Processing (NLP), researchers…
TCOVIS: Temporally Consistent Online Video Instance Segmentation
Junlong Li, Bingyao Yu, Yongming Rao +2
In recent years, significant progress has been made in video instance segmentation (VIS), with many offline and online methods achieving state-of-the-art performance. While offline…
Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
Junlong Li, Jinyuan Wang, Zhuosheng Zhang +1
Open-Domain Question Answering (ODQA) aims to answer questions without explicitly providing specific background documents. This task becomes notably challenging in a zero-shot sett…
DiT: Self-supervised Pre-training for Document Image Transformer
Junlong Li, Yiheng Xu, Tengchao Lv +3
Image Transformer has recently achieved significant progress for natural image understanding, either using supervised (ViT, DeiT, etc.) or self-supervised (BEiT, MAE, etc.) pre-tra…
MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document Understanding
Junlong Li, Yiheng Xu, Lei Cui +1
Multimodal pre-training with text, layout, and image has made significant progress for Visually Rich Document Understanding (VRDU), especially the fixed-layout documents such as sc…
Dialogue-adaptive Language Model Pre-training From Quality Estimation
Junlong Li, Zhuosheng Zhang, Hai Zhao
Pre-trained language models (PrLMs) have achieved great success on a wide range of natural language processing tasks by virtue of the universal language representation ability obta…
Knowledgeable Dialogue Reading Comprehension on Key Turns
Junlong Li, Zhuosheng Zhang, Hai Zhao
Multi-choice machine reading comprehension (MRC) requires models to choose the correct answer from candidate options given a passage and a question. Our research focuses dialogue-b…