1 citations · 1 across the 5 of their papers we have counts for
5 papers
What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs
Ziran Li, Qiang Wang, Zhengyu Chen +4
Choosing the right large language model (LLM) backbone is the most consequential decision when building a vision-language model (VLM), yet it remains fundamentally unprincipled: co…
Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development
Yiwei Li, Wanli Yang, Hexiang Tan +10
Autonomous agents are increasingly capable of improving models, systems, and other technical artifacts through long-horizon experimentation. To understand the current state of this…
An Anchor Learning Approach for Citation Field Learning
Zilin Yuan, Borun Chen, Yimeng Dai +3
Citation field learning is to segment a citation string into fields of interest such as author, title, and venue. Extracting such fields from citations is crucial for citation inde…
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations
Borun Chen, Hongyin Tang, Jiahao Bu +6
Pre-trained Language Models (PLMs) have achieved remarkable performance gains across numerous downstream tasks in natural language understanding. Various Chinese PLMs have been suc…
A non-hierarchical attention network with modality dropout for textual response generation in multimodal dialogue systems
Rongyi Sun, Borun Chen, Qingyu Zhou +3
Existing text- and image-based multimodal dialogue systems use the traditional Hierarchical Recurrent Encoder-Decoder (HRED) framework, which has an utterance-level encoder to mode…