Showing cs.CLShow all
3 papers · 1 filter
cs.CL2024
RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?
Adrian de Wynter, Ishaan Watts, Tua Wongsangaroonsri +30
Large language models (LLMs) and small language models (SLMs) are being adopted at remarkable speed, although their safety still remains a serious concern. With the advent of multi…
cs.CL2024
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
Ishaan Watts, Varun Gumma, Aditya Yadavalli +3
Evaluation of multilingual Large Language Models (LLMs) is challenging due to a variety of factors -- the lack of benchmarks with sufficient linguistic diversity, contamination of…
cs.CL2024
MAPLE: Multilingual Evaluation of Parameter Efficient Finetuning of Large Language Models
Divyanshu Aggarwal, Ashutosh Sathe, Ishaan Watts +1
Parameter Efficient Finetuning (PEFT) has emerged as a viable solution for improving the performance of Large Language Models (LLMs) without requiring massive resources and compute…