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20232026
most citedRECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

6 citations · 24 across the 55 of their papers we have counts for

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5 papers · 1 filter

cs.CL2023

Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction

Kunting Li, Yong Hu, Shaolei Wang +4

ChatGPT has demonstrated impressive performance in various downstream tasks. However, in the Chinese Spelling Correction (CSC) task, we observe a discrepancy: while ChatGPT perform…

cs.CL2023★ 6 cited

RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Yi Liu, Lianzhe Huang, Shicheng Li +5

LLMs and AI chatbots have improved people's efficiency in various fields. However, the necessary knowledge for answering the question may be beyond the models' knowledge boundaries…

cs.IR2023

Plot Retrieval as an Assessment of Abstract Semantic Association

Shicheng Xu, Liang Pang, Jiangnan Li +5

Retrieving relevant plots from the book for a query is a critical task, which can improve the reading experience and efficiency of readers. Readers usually only give an abstract an…

cs.CL2023

TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models

Zhen Yang, Yingxue Zhang, Fandong Meng +1

Despite Multi-modal Large Language Models (MM-LLMs) have made exciting strides recently, they are still struggling to efficiently model the interactions among multi-modal inputs an…

cs.CL2023★ 2 cited

Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding

Jiali Zeng, Fandong Meng, Yongjing Yin +1

Contemporary translation engines based on the encoder-decoder framework have made significant strides in development. However, the emergence of Large Language Models (LLMs) has dis…