1 citations · 2 across the 8 of their papers we have counts for
8 papers
Improving Image Captioning by Mimicking Human Reformulation Feedback at Inference-time
Uri Berger, Omri Abend, Lea Frermann +1
Incorporating automatically predicted human feedback into the process of training generative models has attracted substantial recent interest, while feedback at inference time has…
SAUCE: Synchronous and Asynchronous User-Customizable Environment for Multi-Agent LLM Interaction
Shlomo Neuberger, Niv Eckhaus, Uri Berger +3
Many human interactions, such as political debates, are carried out in group settings, where there are arbitrarily many participants, each with different views and agendas. To expl…
Cross-Lingual and Cross-Cultural Variation in Image Descriptions
Uri Berger, Edoardo M. Ponti
Do speakers of different languages talk differently about what they see? Behavioural and cognitive studies report cultural effects on perception; however, these are mostly limited…
A Language-agnostic Model of Child Language Acquisition
Louis Mahon, Omri Abend, Uri Berger +3
This work reimplements a recent semantic bootstrapping child-language acquisition model, which was originally designed for English, and trains it to learn a new language: Hebrew. T…
Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy, Trends and Metrics Analysis
Uri Berger, Gabriel Stanovsky, Omri Abend +1
The task of image captioning has recently been gaining popularity, and with it the complex task of evaluating the quality of image captioning models. In this work, we present the f…
In-Context Learning on a Budget: A Case Study in Token Classification
Uri Berger, Tal Baumel, Gabriel Stanovsky
Few shot in-context learning (ICL) typically assumes access to large annotated training sets. However, in many real world scenarios, such as domain adaptation, there is only a limi…
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions
Uri Berger, Lea Frermann, Gabriel Stanovsky +1
We present a large, multilingual study into how vision constrains linguistic choice, covering four languages and five linguistic properties, such as verb transitivity or use of num…
A Computational Acquisition Model for Multimodal Word Categorization
Uri Berger, Gabriel Stanovsky, Omri Abend +1
Recent advances in self-supervised modeling of text and images open new opportunities for computational models of child language acquisition, which is believed to rely heavily on c…