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Found 6 papers, 1 papers with code
Fine-grained Gender Control in Machine Translation with Large Language Models
In this paper, we tackle controlled translation in a more realistic setting of inputs with multiple entities and propose Gender-of-Entity (GoE) prompting method for LLMs.
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.
Can LLMs Recognize Toxicity? Definition-Based Toxicity Metric
In the pursuit of developing Large Language Models (LLMs) that adhere to societal standards, it is imperative to detect the toxicity in the generated text.
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes
Second, the diversity among samples is neglected since the sampling procedure often focuses on a single speech sample rather than multiple ones.
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.
Multi-View Zero-Shot Open Intent Induction from Dialogues: Multi Domain Batch and Proxy Gradient Transfer
In Task Oriented Dialogue (TOD) system, detecting and inducing new intents are two main challenges to apply the system in the real world.
