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20162026
most citedCogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers

121 citations · 402 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Trace as State: Reasoning Traces as Conditional States for Long-Context Transformers

Xu Zou, Jie Tang

Transformers process information causally, but long-context reasoning may depend on task state discovered only later. We formalize this mismatch through conditional state update ta…

cs.CL20211 cited

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation

Chenguang Wang, Xiao Liu, Zui Chen +3

We cast a suite of information extraction tasks into a text-to-triple translation framework. Instead of solving each task relying on task-specific datasets and models, we formalize…

cs.CL20214 cited

A Self-supervised Method for Entity Alignment

Xiao Liu, Haoyun Hong, Xinghao Wang +4

Entity alignment, aiming to identify equivalent entities across different knowledge graphs (KGs), is a fundamental problem for constructing large-scale KGs. Over the course of its…

cs.CL2021

Controllable Generation from Pre-trained Language Models via Inverse Prompting

Xu Zou, Da Yin, Qingyang Zhong +4

Large-scale pre-trained language models have demonstrated strong capabilities of generating realistic text. However, it remains challenging to control the generation results. Previ…

cs.CL202022 cited

CPM: A Large-scale Generative Chinese Pre-trained Language Model

Zhengyan Zhang, Xu Han, Hao Zhou +22

Pre-trained Language Models (PLMs) have proven to be beneficial for various downstream NLP tasks. Recently, GPT-3, with 175 billion parameters and 570GB training data, drew a lot o…