4 citations · 6 across the 5 of their papers we have counts for
5 papers
Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants
Yunhe Wang, Kai Han, Huiling Zhen +13
The paradigm of Large Language Models (LLMs) is currently defined by auto-regressive (AR) architectures, which generate text through a sequential ``brick-by-brick'' process. Despit…
Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives
Shan Gao, Yanwu Yang
This research designs a unified architecture of CTR prediction benchmark (Bench-CTR) platform that offers flexible interfaces with datasets and components of a wide range of CTR pr…
Large Language Models for Bioinformatics
Wei Ruan, Yanjun Lyu, Jing Zhang +52
With the rapid advancements in large language model (LLM) technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehens…
A Little Confidence Goes a Long Way
John Scoville, Shang Gao, Devanshu Agrawal +1
We introduce a group of related methods for binary classification tasks using probes of the hidden state activations in large language models (LLMs). Performance is on par with the…
Can't Remember Details in Long Documents? You Need Some R&R
Devanshu Agrawal, Shang Gao, Martin Gajek
Long-context large language models (LLMs) hold promise for tasks such as question-answering (QA) over long documents, but they tend to miss important information in the middle of c…