Jiarui Lu

According to our database, Jiarui Lu authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation.

Longzheng Wang, Xiaohan Xu, Lei Zhang, Jiarui Lu, Yongxiu Xu, Hongbo Xu, Chuang Zhang

CoRR, 2024

Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations.

Jiarui Lu, Zuobai Zhang, Bozitao Zhong, Chence Shi, Jian Tang

CoRR, 2024

ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation.

Zuobai Zhang, Jiarui Lu, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang

CoRR, 2024

Structure-Informed Protein Language Model.

Zuobai Zhang, Jiarui Lu, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang

CoRR, 2024

Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled.

Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang

CoRR, 2024

Can Large Language Models Understand Context?

Yilun Zhu, Joel Ruben Antony Moniz, Shruti Bhargava, Jiarui Lu, Dhivya Piraviperumal, Site Li, Yuan Zhang, Hong Yu, Bo-Hsiang Tseng

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Multi-modal molecule structure-text model for text-based retrieval and editing.

Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Animashree Anandkumar

Nat. Mac. Intell., December, 2023

MARRS: Multimodal Reference Resolution System.

Halim Cagri Ates, Shruti Bhargava, Site Li, Jiarui Lu, Siddhardha Maddula, Joel Ruben Antony Moniz, Anil Kumar Nalamalapu, Roman Hoang Nguyen, Melis Özyildirim, Alkesh Patel, Dhivya Piraviperumal, Vincent Renkens, Ankit Samal, Thy Tran, Bo-Hsiang Tseng, Hong Yu, Yuan Zhang, Rong Zou

CoRR, 2023

STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants.

Leon Liyang Zhang, Jiarui Lu, Joel Ruben Antony Moniz, Aditya Kulkarni, Dhivya Piraviperumal, Tien Dung Tran, Nicholas Tzou, Hong Yu

CoRR, 2023

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.

Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters

CoRR, 2023

The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs.

Yizhe Zhang, Jiarui Lu, Navdeep Jaitly

CoRR, 2023

Intelligent Assistant Language Understanding On Device.

Cecilia Aas, Hisham Abdelsalam, Irina Belousova, Shruti Bhargava, Jianpeng Cheng, Robert Daland, Joris Driesen, Federico Flego, Tristan Guigue, Anders Johannsen, Partha Lal, Jiarui Lu, Joel Ruben Antony Moniz, Nathan Perkins, Dhivya Piraviperumal, Stephen Pulman, Diarmuid Ó Séaghdha, David Q. Sun, John Torr, Marco Del Vecchio, Jay Wacker, Jason D. Williams, Hong Yu

CoRR, 2023

Score-based Enhanced Sampling for Protein Molecular Dynamics.

Jiarui Lu, Bozitao Zhong, Jian Tang

CoRR, 2023

5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair.

Jiarui Lu, Bo-Hsiang Tseng, Joel Ruben Antony Moniz, Site Li, Xueyun Zhu, Hong Yu, Murat Akbacak

CoRR, 2023

A Text-guided Protein Design Framework.

Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar

CoRR, 2023

Protein Sequence and Structure Co-Design with Equivariant Translation.

Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants.

Leon Liyang Zhang, Jiarui Lu, Joel Ruben Antony Moniz, Aditya Kulkarni, Dhivya Piraviperumal, Tien Dung Tran, Nick Tzou, Hong Yu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2022

ReLMole: Molecular Representation Learning Based on Two-Level Graph Similarities.

Zewei Ji, Runhan Shi, Jiarui Lu, Fang Li, Yang Yang

J. Chem. Inf. Model., 2022

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery.

Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Junkun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang

CoRR, 2022

PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding.

Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

KenDTI: An Ensemble Model for Predicting Drug-Target Interaction by Integrating Multi-Source Information.

Zhimiao Yu, Jiarui Lu, Yuan Jin, Yang Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A compositional mediation model for a binary outcome: Application to microbiome studies.

Michael B. Sohn, Jiarui Lu, Hongzhe Li

Bioinform., 2021

CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues.

Bo-Hsiang Tseng, Shruti Bhargava, Jiarui Lu, Joel Ruben Antony Moniz, Dhivya Piraviperumal, Lin Li, Hong Yu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Dynamic Characteristics of Two-Mass Inertial Pipeline Robot Driven by Noncircular Gears.

Dawei Liu, Jiarui Lu

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

2019

S-DenseNet: A DenseNet Compression Model Based on Convolution Grouping Strategy Using Skyline Method.

Changyong Yu, Xin He, Haitao Ma, Xin Qi, Jiarui Lu, Yuhai Zhao

IEEE Access, 2019