activity
20232025
most citedOn the Information Redundancy in Non-Autoregressive Translation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection

Hui Li, Ante Wang, kunquan li +5

Misinformation spans various domains, but detection methods trained on specific domains often perform poorly when applied to others. With the rapid development of Large Language Mo…

cs.CL2024

A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models

Zhihao Wang, Shiyu Liu, Jianheng Huang +5

Due to the continuous emergence of new data, version updates have become an indispensable requirement for Large Language Models (LLMs). The training paradigms for version updates o…

cs.CL2024★ 1 cited

On the Information Redundancy in Non-Autoregressive Translation

Zhihao Wang, Longyue Wang, Jinsong Su +2

Token repetition is a typical form of multi-modal problem in fully non-autoregressive translation (NAT). In this work, we revisit the multi-modal problem in recently proposed NAT m…

cs.CL2023

Revisiting Non-Autoregressive Translation at Scale

Zhihao Wang, Longyue Wang, Jinsong Su +2

In real-world systems, scaling has been critical for improving the translation quality in autoregressive translation (AT), which however has not been well studied for non-autoregre…

cs.CL2023

A Sequence-to-Sequence&Set Model for Text-to-Table Generation

Tong Li, Zhihao Wang, Liangying Shao +3

Recently, the text-to-table generation task has attracted increasing attention due to its wide applications. In this aspect, the dominant model formalizes this task as a sequence-t…