29 citations · 45 across the 7 of their papers we have counts for
5 papers · 1 filter
LoKI: Low-damage Knowledge Implanting of Large Language Models
Runyu Wang, Peng Ping, Zhengyu Guo +4
Fine-tuning adapts pretrained models for specific tasks but poses the risk of catastrophic forgetting (CF), where critical knowledge from pretraining is overwritten. To address the…
Large Language Models as Code Executors: An Exploratory Study
Chenyang Lyu, Lecheng Yan, Rui Xing +4
The capabilities of Large Language Models (LLMs) have significantly evolved, extending from natural language processing to complex tasks like code understanding and generation. We…
Document-Level Machine Translation with Large Language Models
Longyue Wang, Chenyang Lyu, Tianbo Ji +4
Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) tasks. Taking document-level…
QAScore -- An Unsupervised Unreferenced Metric for the Question Generation Evaluation
Tianbo Ji, Chenyang Lyu, Gareth Jones +2
Question Generation (QG) aims to automate the task of composing questions for a passage with a set of chosen answers found within the passage. In recent years, the introduction of…
Achieving Reliable Human Assessment of Open-Domain Dialogue Systems
Tianbo Ji, Yvette Graham, Gareth J. F. Jones +2
Evaluation of open-domain dialogue systems is highly challenging and development of better techniques is highlighted time and again as desperately needed. Despite substantial effor…