2 citations · 4 across the 6 of their papers we have counts for
7 papers
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
DeepSeek-AI, :, Anyi Xu +585
The widespread adoption of long-horizon agents has made model workloads increasingly input-heavy. Although prior work has substantially reduced the cost of long-context computation…
Cell Instance Segmentation: The Devil Is in the Boundaries
Peixian Liang, Yifan Ding, Yizhe Zhang +9
State-of-the-art (SOTA) methods for cell instance segmentation are based on deep learning (DL) semantic segmentation approaches, focusing on distinguishing foreground pixels from b…
Digital Gatekeepers: Google's Role in Curating Hashtags and Subreddits
Amrit Poudel, Yifan Ding, Jurgen Pfeffer +1
Search engines play a crucial role as digital gatekeepers, shaping the visibility of Web and social media content through algorithmic curation. This study investigates how search e…
Citations and Trust in LLM Generated Responses
Yifan Ding, Matthew Facciani, Amrit Poudel +5
Question answering systems are rapidly advancing, but their opaque nature may impact user trust. We explored trust through an anti-monitoring framework, where trust is predicted to…
Span-Oriented Information Extraction -- A Unifying Perspective on Information Extraction
Yifan Ding, Michael Yankoski, Tim Weninger
Information Extraction refers to a collection of tasks within Natural Language Processing (NLP) that identifies sub-sequences within text and their labels. These tasks have been us…
ChatEL: Entity Linking with Chatbots
Yifan Ding, Qingkai Zeng, Tim Weninger
Entity Linking (EL) is an essential and challenging task in natural language processing that seeks to link some text representing an entity within a document or sentence with its c…
EntGPT: Entity Linking with Generative Large Language Models
Yifan Ding, Amrit Poudel, Qingkai Zeng +3
Entity Linking in natural language processing seeks to match text entities to their corresponding entries in a dictionary or knowledge base. Traditional approaches rely on contextu…