activity
20232026
most citedImproving Seq2Seq Grammatical Error Correction via Decoding Interventions

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

VisBrowse-Bench: Benchmarking Visual-Native Search for Multimodal Browsing Agents

Zhengbo Zhang, Jinbo Su, Zhaowen Zhou +14

The rapid advancement of Multimodal Large Language Models (MLLMs) has enabled browsing agents to acquire and reason over multimodal information in the real world. But existing benc…

cs.CL2025

ChiMDQA: Towards Comprehensive Chinese Document QA with Fine-grained Evaluation

Jing Gao, Shutiao Luo, Yumeng Liu +2

With the rapid advancement of natural language processing (NLP) technologies, the demand for high-quality Chinese document question-answering datasets is steadily growing. To addre…

cs.CY2024★ 1 cited

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration

Aiden Lewington, Alekhya Vittalam, Anshumaan Singh +48

Advances in artificial intelligence (AI) present significant risks and opportunities, requiring improved governance to mitigate societal harms and promote equitable benefits. Curre…

cs.CL2024

DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check

Ziheng Qiao, Houquan Zhou, Yumeng Liu +6

One key characteristic of the Chinese spelling check (CSC) task is that incorrect characters are usually similar to the correct ones in either phonetics or glyph. To accommodate th…

cs.CL2023★ 3 cited

Improving Seq2Seq Grammatical Error Correction via Decoding Interventions

Houquan Zhou, Yumeng Liu, Zhenghua Li +5

The sequence-to-sequence (Seq2Seq) approach has recently been widely used in grammatical error correction (GEC) and shows promising performance. However, the Seq2Seq GEC approach s…