3 citations · 3 across the 4 of their papers we have counts for
4 papers
XIFBench: Evaluating Large Language Models on Multilingual Instruction Following
Zhenyu Li, Kehai Chen, Yunfei Long +5
Large Language Models (LLMs) have demonstrated remarkable instruction-following capabilities across various applications. However, their performance in multilingual settings lacks…
Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent
Xingzuo Li, Kehai Chen, Yunfei Long +3
Large language model (LLM) agents typically adopt a step-by-step reasoning framework, in which they interleave the processes of thinking and acting to accomplish the given task. Ho…
Mitigating the Bias of Large Language Model Evaluation
Hongli Zhou, Hui Huang, Yunfei Long +5
Recently, there has been a trend of evaluating the Large Language Model (LLM) quality in the flavor of LLM-as-a-Judge, namely leveraging another LLM to evaluate the current output…
LLM with Relation Classifier for Document-Level Relation Extraction
Xingzuo Li, Kehai Chen, Yunfei Long +1
Large language models (LLMs) have created a new paradigm for natural language processing. Despite their advancement, LLM-based methods still lag behind traditional approaches in do…