39 citations · 83 across the 7 of their papers we have counts for
4 papers · 1 filter
Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling
Yaqing Wang, Jialin Wu, Tanmaya Dabral +8
Large language models (LLMs) and vision language models (VLMs) demonstrate excellent performance on a wide range of tasks by scaling up parameter counts from O(10^9) to O(10^{12})…
Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task
Nan Ding, Sebastian Goodman, Fei Sha +1
We introduce a new multi-modal task for computer systems, posed as a combined vision-language comprehension challenge: identifying the most suitable text describing a scene, given…
Multilingual Word Embeddings using Multigraphs
Radu Soricut, Nan Ding
We present a family of neural-network--inspired models for computing continuous word representations, specifically designed to exploit both monolingual and multilingual text. This…
Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors
Radu Soricut, Nan Ding
We present a dual contribution to the task of machine reading-comprehension: a technique for creating large-sized machine-comprehension (MC) datasets using paragraph-vector models;…