Search Results for author:
Found 4 papers, 3 papers with code
VLind-Bench: Measuring Language Priors in Large Vision-Language Models
To this end, we propose a new benchmark called VLind-Bench, which is the first benchmark specifically designed to measure the language priors, or blindness, of LVLMs.
IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
To address these challenges, we propose Iterative Conversational Query Reformulation (IterCQR), a methodology that conducts query reformulation without relying on human rewrites.
Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering
The problem of spurious programs is a longstanding challenge when training a semantic parser from weak supervision.
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
In this paper, we specifically target the gender bias issue of multilingual machine translation models for unambiguous cases where there is a single correct translation, and propose a bias mitigation method based on a novel approach.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
