activity
20172025
most citedRotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

768 citations · 1.3k across the 29 of their papers we have counts for

collaborators
Showing cs.CLShow all

10 papers · 1 filter

cs.CL2024★ 3 cited

HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild

Zhiying Zhu, Yiming Yang, Zhiqing Sun

Hallucinations pose a significant challenge to the reliability of large language models (LLMs) in critical domains. Recent benchmarks designed to assess LLM hallucinations within c…

cs.CL2023

SALMON: Self-Alignment with Instructable Reward Models

Zhiqing Sun, Yikang Shen, Hongxin Zhang +5

Supervised Fine-Tuning (SFT) on response demonstrations combined with Reinforcement Learning from Human Feedback (RLHF) constitutes a powerful paradigm for aligning LLM-based AI ag…

cs.CL2023★ 18 cited

Active Retrieval Augmented Generation

Zhengbao Jiang, Frank F. Xu, Luyu Gao +6

Despite the remarkable ability of large language models (LMs) to comprehend and generate language, they have a tendency to hallucinate and create factually inaccurate output. Augme…

cs.CL2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

BigScience Workshop, :, Teven Le Scao +391

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…

cs.CL2022★ 31 cited

Recitation-Augmented Language Models

Zhiqing Sun, Xuezhi Wang, Yi Tay +2

We propose a new paradigm to help Large Language Models (LLMs) generate more accurate factual knowledge without retrieving from an external corpus, called RECITation-augmented gEne…

cs.CL2020★ 94 cited

MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices

Zhiqing Sun, Hongkun Yu, Xiaodan Song +3

Natural Language Processing (NLP) has recently achieved great success by using huge pre-trained models with hundreds of millions of parameters. However, these models suffer from he…

cs.CL2019★ 6 cited

A Re-evaluation of Knowledge Graph Completion Methods

Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal +2

Knowledge Graph Completion (KGC) aims at automatically predicting missing links for large-scale knowledge graphs. A vast number of state-of-the-art KGC techniques have got publishe…

cs.CL2019★ 29 cited

DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases

Zhiqing Sun, Jian Tang, Pan Du +2

Keyphrase extraction from documents is useful to a variety of applications such as information retrieval and document summarization. This paper presents an end-to-end method called…

cs.CL2018★ 1 cited

Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling

Zhiqing Sun, Zhi-Hong Deng

Previous traditional approaches to unsupervised Chinese word segmentation (CWS) can be roughly classified into discriminative and generative models. The former uses the carefully d…

cs.CL2017★ 9 cited

A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks

Zhiqing Sun, Gehui Shen, Zhihong Deng

Most previous approaches to Chinese word segmentation can be roughly classified into character-based and word-based methods. The former regards this task as a sequence-labeling pro…