Weijia Shi

According to our database, Weijia Shi authored at least 64 papers between 2013 and 2024.

Collaborative distances:

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

2024

OLMoE: Open Mixture-of-Experts Language Models.

Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi

CoRR, 2024

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.

Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu

CoRR, 2024

Scaling Retrieval-Based Language Models with a Trillion-Token Datastore.

Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh

CoRR, 2024

MUSE: Machine Unlearning Six-Way Evaluation for Language Models.

Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang

CoRR, 2024

Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling.

Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman

CoRR, 2024

Evaluating Copyright Takedown Methods for Language Models.

Boyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson

CoRR, 2024

Fantastic Copyrighted Beasts and How (Not) to Generate Them.

Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson

CoRR, 2024

Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models.

Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna

CoRR, 2024

AI Risk Management Should Incorporate Both Safety and Security.

Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal

CoRR, 2024

Do Membership Inference Attacks Work on Large Language Models?

Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi

CoRR, 2024

REPLUG: Retrieval-Augmented Black-Box Language Models.

Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding.

Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Lemur: Harmonizing Natural Language and Code for Language Agents.

Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation.

Fangyuan Xu, Weijia Shi, Eunsol Choi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

In-Context Pretraining: Language Modeling Beyond Document Boundaries.

Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Detecting Pretraining Data from Large Language Models.

Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore.

Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RA-DIT: Retrieval-Augmented Dual Instruction Tuning.

Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models.

Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Teaching LLMs to Abstain across Languages via Multilingual Feedback.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Instruction-tuned Language Models are Better Knowledge Learners.

Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Air-Coupled Ultrasonic Lamb Wave In Situ Stress Measurement Method for Composite Plates.

Bingquan Wang, Weijia Shi, Bo Zhao, Jiubin Tan

IEEE Trans. Instrum. Meas., 2023

Stress Online Monitoring Method Based on Multifrequency SH0 Guided Wave Information Fusion.

Weijia Shi, Jiaxin Li, Sen Deng, Shaokai Wang, Bo Zhao, Jiubin Tan

IEEE Trans. Instrum. Meas., 2023

RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.

Fangyuan Xu, Weijia Shi, Eunsol Choi

CoRR, 2023

Resolving Knowledge Conflicts in Large Language Models.

Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

CoRR, 2023

Mixture of Prompt Experts for Generalizable and Interpretable Question Answering.

Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber

CoRR, 2023

CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge.

Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

CoRR, 2023

Scaling Expert Language Models with Unsupervised Domain Discovery.

Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer

CoRR, 2023

kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models.

Yangsibo Huang, Daogao Liu, Zexuan Zhong, Weijia Shi, Yin Tat Lee

CoRR, 2023

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training.

Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing.

Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Retrieval-Augmented Multimodal Language Modeling.

Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih

Proceedings of the International Conference on Machine Learning, 2023

Selective Annotation Makes Language Models Better Few-Shot Learners.

Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3.

Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering.

Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Getting MoRE out of Mixture of Language Model Reasoning Experts.

Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?

Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

One Embedder, Any Task: Instruction-Finetuned Text Embeddings.

Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Nonparametric Masked Language Modeling.

Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

PromptCap: Prompt-Guided Task-Aware Image Captioning.

Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo

CoRR, 2022

Nearest Neighbor Zero-Shot Inference.

Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

An adjustable anti-resonance frequency controller for a dual-stage actuation semi-active vibration isolation system.

Bo Zhao, Weijia Shi, Bingquan Wang, Jiubin Tan

Frontiers Inf. Technol. Electron. Eng., 2021

DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions.

Weijia Shi, Mandar Joshi, Luke Zettlemoyer

CoRR, 2021

Cross-lingual Entity Alignment with Incidental Supervision.

Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions.

Weijia Shi, Mandar Joshi, Luke Zettlemoyer

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text.

Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth

CoRR, 2020

On Tractable Representations of Binary Neural Networks.

Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi

Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Design Challenges in Low-resource Cross-lingual Entity Linking.

Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Pseudo-Full-Bridge Inverter With Soft-Switching Capability for a Quarter-Phase Ultrasonic Motor.

Weijia Shi, Bo Zhao, Xue Qi, Yiran Wang, Hui Zhao, Weishan Chen, Jiubin Tan

IEEE Trans. Ind. Electron., 2019

Design and Control of a Dual-Stage Actuation Active Vibration Isolation System.

Bo Zhao, Weijia Shi, Jiubin Tan

IEEE Access, 2019

Extending Velocity Sensor Bandwidth by Compensating Temperature Dependency Based on BP Neural Network.

Bo Zhao, Weijia Shi, Ding Sun, Jiaxin Li, Feng Li, Jiubin Tan

IEEE Access, 2019

Learning Bilingual Word Embeddings Using Lexical Definitions.

Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Computational Analysis of French Reborrowing Process for English Loanwords.

Zhubo Deng, Weijia Shi, Pei Zhou, Muhao Chen, Kai-Wei Chang

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Examining Gender Bias in Languages with Grammatical Gender.

Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Retrofitting Contextualized Word Embeddings with Paraphrases.

Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Embedding Uncertain Knowledge Graphs.

Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Dead-Zone Compensation of an Ultrasonic Motor Using an Adaptive Dither.

Weijia Shi, Hui Zhao, Jie Ma, Yu Yao

IEEE Trans. Ind. Electron., 2018

Six Degrees of Freedom Displacement Measurement System for Wafer Stage Composed of Hall Sensors.

Bo Zhao, Weijia Shi, Jiawei Zhang, Ming Zhang, Xue Qi, Jiaxin Li, Feng Li, Jiubin Tan

Sensors, 2018

Desired Compensation Adaptive Robust Control of an Active Vibration Isolation System.

Bo Zhao, Weijia Shi, Ming Zhang, Jiaxin Li, Feng Li

Complex., 2018

2017

An Optimum-Frequency Tracking Scheme for Ultrasonic Motor.

Weijia Shi, Hui Zhao, Jie Ma, Yu Yao

IEEE Trans. Ind. Electron., 2017

2015

Energy-Efficient Resource Management in OFDM-Based Cognitive Radio Networks Under Channel Uncertainty.

Shaowei Wang, Weijia Shi, Chonggang Wang

IEEE Trans. Commun., 2015

2014

Energy- and spectrum-efficiency tradeoff in OFDM-based cognitive radio systems.

Weijia Shi, Shaowei Wang, Dageng Chen

Proceedings of the IEEE Global Communications Conference, 2014

2013

Energy-efficient resource allocation in cognitive radio systems.

Weijia Shi, Shaowei Wang

Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013