activity
20192023
most citedLayoutLM: Pre-training of Text and Layout for Document Image Understanding

687 citations · 846 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2023★ 12 cited

Preference Ranking Optimization for Human Alignment

Feifan Song, Bowen Yu, Minghao Li +4

Large language models (LLMs) often contain misleading content, emphasizing the need to align them with human values to ensure secure AI systems. Reinforcement learning from human f…

cs.MM2023

CPNet: Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation

Jingning Xu, Benlai Tang, Mingjie Wang +2

Recently, talking face generation has drawn ever-increasing attention from the research community in computer vision due to its arduous challenges and widespread application scenar…

cs.CL2023★ 13 cited

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Minghao Li, Yingxiu Zhao, Bowen Yu +6

Recent research has demonstrated that Large Language Models (LLMs) can enhance their capabilities by utilizing external tools. However, three pivotal questions remain unanswered: (…

cs.LG2023★ 2 cited

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression

Minghao Li, Ran Ben Basat, Shay Vargaftik +4

Deep neural networks (DNNs) are the de facto standard for essential use cases, such as image classification, computer vision, and natural language processing. As DNNs and datasets…

cs.HC2022

Understanding the Challenges of Team-Based Live Streaming for First-person Shooter Games

Jiaye Li, Minghao Li, Zikai Alex Wen +1

First-person shooter (FPS) game tournaments take place across the globe. A growing number of people choose to watch FPS games online instead of attending the game events in person.…

cs.CL2021★ 77 cited

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

Minghao Li, Tengchao Lv, Jingye Chen +6

Text recognition is a long-standing research problem for document digitalization. Existing approaches are usually built based on CNN for image understanding and RNN for char-level…