activity
20222024
most citedCorrect Like Humans: Progressive Learning Framework for Chinese Text Error Correction

4 citations · 16 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 3 cited

EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data

Shirong Ma, Shen Huang, Shulin Huang +6

Large Language Models (LLMs) pre-trained on massive corpora have exhibited remarkable performance on various NLP tasks. However, applying these models to specific domains still pos…

cs.CL2023★ 1 cited

LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles

Shulin Huang, Shirong Ma, Yinghui Li +4

With the continuous evolution and refinement of LLMs, they are endowed with impressive logical reasoning or vertical thinking capabilities. But can they think out of the box? Do th…

cs.CL2023

MESED: A Multi-modal Entity Set Expansion Dataset with Fine-grained Semantic Classes and Hard Negative Entities

Yangning Li, Tingwei Lu, Yinghui Li +5

The Entity Set Expansion (ESE) task aims to expand a handful of seed entities with new entities belonging to the same semantic class. Conventional ESE methods are based on mono-mod…

cs.CL2023★ 4 cited

Correct Like Humans: Progressive Learning Framework for Chinese Text Error Correction

Yinghui Li, Shirong Ma, Shaoshen Chen +5

Chinese Text Error Correction (CTEC) aims to detect and correct errors in the input text, which benefits human daily life and various downstream tasks. Recent approaches mainly emp…

cs.CL2023

From Retrieval to Generation: Efficient and Effective Entity Set Expansion

Shulin Huang, Shirong Ma, Yangning Li +2

Entity Set Expansion (ESE) is a critical task aiming at expanding entities of the target semantic class described by seed entities. Most existing ESE methods are retrieval-based fr…