1 code implementation • 29 Oct 2024 • Haiyi Mao, Romain Lopez, Kai Liu, Jan-Christian Hütter, David Richmond, Panayiotis V. Benos, Lin Qiu
The study of cells and their responses to genetic or chemical perturbations promises to accelerate the discovery of therapeutic targets.
1 code implementation • 5 Oct 2024 • Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, PengFei Liu, Zheng Zhang
The rise of large language models (LLMs) has significantly influenced the quality of information in decision-making systems, leading to the prevalence of AI-generated content and challenges in detecting misinformation and managing conflicting information, or "inter-evidence conflicts."
1 code implementation • 31 Aug 2024 • Guang Yang, Muru Zhang, Lin Qiu, Yanming Wan, Noah A. Smith
One approach to tackle OMR is through a multi-stage pipeline, where the system first detects visual music notation elements in the image (object detection) and then assembles them into a music notation (notation assembly).
1 code implementation • 15 Aug 2024 • Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, PengFei Liu, Yue Zhang, Zheng Zhang
Despite Retrieval-Augmented Generation (RAG) showing promising capability in leveraging external knowledge, a comprehensive evaluation of RAG systems is still challenging due to the modular nature of RAG, evaluation of long-form responses and reliability of measurements.
1 code implementation • 13 Aug 2024 • Yuxiang Zheng, Shichao Sun, Lin Qiu, Dongyu Ru, Cheng Jiayang, Xuefeng Li, Jifan Lin, Binjie Wang, Yun Luo, Renjie Pan, Yang Xu, Qingkai Min, Zizhao Zhang, Yiwen Wang, Wenjie Li, PengFei Liu
The rapid growth of scientific literature imposes significant challenges for researchers endeavoring to stay updated with the latest advancements in their fields and delve into new areas.
no code implementations • 8 Jul 2024 • Hannah Lee, Changyeon Lee, Kevin Farhat, Lin Qiu, Steve Geluso, Aerin Kim, Oren Etzioni
We advocate for a proactive approach in the "tug-of-war" between deepfake creators and detectors, emphasizing the need for continuous research collaboration, standardization of evaluation metrics, and the creation of comprehensive benchmarks.
1 code implementation • 17 Jun 2024 • Siyu Yuan, Cheng Jiayang, Lin Qiu, Deqing Yang
Analogical reasoning plays a critical role in human cognition, enabling us to understand new concepts by associating them with familiar ones.
2 code implementations • 23 May 2024 • Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, PengFei Liu, Yue Zhang, Zheng Zhang
In RefChecker, an extractor generates claim-triplets from a response, which are then evaluated by a checker against a reference.
1 code implementation • 30 Mar 2024 • Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang
In this work, we propose an initial comprehensive framework called EventGround, which aims to tackle the problem of grounding free-texts to eventuality-centric KGs for contextualized narrative reasoning.
1 code implementation • 22 Nov 2023 • Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu
Large Language Models (LLMs) have gained significant popularity for their impressive performance across diverse fields.
1 code implementation • 19 Oct 2023 • Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang
Analogy-making between narratives is crucial for human reasoning.
no code implementations • 19 Jun 2023 • Dongyu Ru, Lin Qiu, Xipeng Qiu, Yue Zhang, Zheng Zhang
Discourse analysis is an important task because it models intrinsic semantic structures between sentences in a document.
1 code implementation • 6 Jan 2023 • Lin Qiu, Aminollah Khormali, Kai Liu
The integration of multi-modal data, such as pathological images and genomic data, is essential for understanding cancer heterogeneity and complexity for personalized treatments, as well as for enhancing survival predictions.
no code implementations • 20 Dec 2022 • Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing
Despite being instruction fine-tuned with safety metrics to reduce toxicity, InstructGPT, GPT-3. 5, and GPT-4 still showed dark personality patterns; these models scored higher than self-supervised GPT-3 on the Machiavellianism and narcissism traits on SD-3.
no code implementations • 6 Oct 2022 • Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli
We incorporate auxiliary covariates among test-level covariates in a deep Black-Box framework controlling FDR (named as NeurT-FDR) which boosts statistical power and controls FDR for multiple-hypothesis testing.
1 code implementation • 15 Jul 2022 • Haoran Yin, Meng Ge, Yanjie Fu, Gaoyan Zhang, Longbiao Wang, Lei Zhang, Lin Qiu, Jianwu Dang
These algorithms are usually achieved by mapping the multi-channel audio input to the single output (i. e. overall spatial pseudo-spectrum (SPS) of all sources), that is called MISO.
no code implementations • 28 Feb 2022 • Lin Qiu, Lynn Lin, Vernon M. Chinchilli
We propose a deep interpretable variational canonical correlation analysis (DICCA) for multi-view learning.
1 code implementation • EMNLP 2021 • Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei LI
LogiRE treats logic rules as latent variables and consists of two modules: a rule generator and a relation extractor.
Ranked #21 on
Relation Extraction
on DocRED
1 code implementation • 24 Jul 2021 • Zhenguang Liu, Peng Qian, Xiaoyang Wang, Yuan Zhuang, Lin Qiu, Xun Wang
Then, we propose a novel temporal message propagation network to extract the graph feature from the normalized graph, and combine the graph feature with designed expert patterns to yield a final detection system.
2 code implementations • 24 Jan 2021 • Lin Qiu, Nils Murrugarra-Llerena, Vítor Silva, Lin Lin, Vernon M. Chinchilli
Controlling false discovery rate (FDR) while leveraging the side information of multiple hypothesis testing is an emerging research topic in modern data science.
no code implementations • 1 Jan 2021 • Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei LI
Although non-autoregressive models with one-iteration generation achieves remarkable inference speed-up, they still falls behind their autoregressive counterparts inprediction accuracy.
2 code implementations • ACL 2021 • Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Wei-Nan Zhang, Yong Yu, Lei LI
With GLM, we develop Glancing Transformer (GLAT) for machine translation.
Ranked #68 on
Machine Translation
on WMT2014 English-German
no code implementations • 11 May 2020 • Lin Qiu, Vernon M. Chinchilli, Lin Lin
In many scientific problems such as video surveillance, modern genomics, and finance, data are often collected from diverse measurements across time that exhibit time-dependent heterogeneous properties.
no code implementations • 11 May 2020 • Lin Qiu, Vernon M. Chinchilli
We further apply the PSCCA method to study the association of miRNA and mRNA expression data sets from a squamous cell lung cancer study, finding that PSCCA can uncover a large number of strongly correlated pairs than standard correlation and other sparse CCA approaches.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Wei-Nan Zhang, Yong Yu, Lei LI
We propose adversarial uncertainty sampling in discrete space (AUSDS) to retrieve informative unlabeled samples more efficiently.
no code implementations • IJCNLP 2019 • Lihua Qian, Lin Qiu, Wei-Nan Zhang, Xin Jiang, Yong Yu
Paraphrasing plays an important role in various natural language processing (NLP) tasks, such as question answering, information retrieval and sentence simplification.
1 code implementation • 25 May 2019 • Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Wei-Nan Zhang, Xin Jiang, Yong Yu
Knowledge base is one of the main forms to represent information in a structured way.
1 code implementation • ACL 2019 • Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei LI, Wei-Nan Zhang, Yong Yu
However, many difficult questions require multiple supporting evidence from scattered text among two or more documents.
Ranked #33 on
Question Answering
on HotpotQA
no code implementations • 12 Sep 2018 • Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Wei-Nan Zhang, Ken Chen, Shaodian Zhang, Yong Yu
TGE-PS uses Pairs Sampling (PS) to improve the sampling strategy of RW, being able to reduce ~99% training samples while preserving competitive performance.
1 code implementation • 7 Sep 2018 • Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Wei-Nan Zhang, Lin Qiu, Yong Yu
By capturing the time dependency through modeling the conditional probability of the event for each sample, our method predicts the likelihood of the true event occurrence and estimates the survival rate over time, i. e., the probability of the non-occurrence of the event, for the censored data.
1 code implementation • 10 Apr 2018 • Lin Qiu, Hao Zhou, Yanru Qu, Wei-Nan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu
Information Extraction (IE) refers to automatically extracting structured relation tuples from unstructured texts.