64 citations · 65 across the 4 of their papers we have counts for
4 papers
Instruction-Following Evaluation of Large Vision-Language Models
Daiki Shiono, Shumpei Miyawaki, Ryota Tanaka +1
Following the initial flourishing of large language models (LLMs), there has been a surge in proposed large vision-language models (LVLMs) that integrate LLMs with vision capabilit…
Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection
Subaru Kimura, Ryota Tanaka, Shumpei Miyawaki +2
We explore visual prompt injection (VPI) that maliciously exploits the ability of large vision-language models (LVLMs) to follow instructions drawn onto the input image. We propose…
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
Sewon Min, Jordan Boyd-Graber, Chris Alberti +50
We review the EfficientQA competition from NeurIPS 2020. The competition focused on open-domain question answering (QA), where systems take natural language questions as input and…
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition
Takuma Kato, Kaori Abe, Hiroki Ouchi +3
In general, the labels used in sequence labeling consist of different types of elements. For example, IOB-format entity labels, such as B-Person and I-Person, can be decomposed int…