Weijia Shi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 80

Top Topics

Top Venues

IEEE Trans. Ind. Electron.

EMNLP (Findings)

Publications

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov
Teaching LLMs to Abstain across Languages via Multilingual Feedback. CoRR (2024)
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
AI Risk Management Should Incorporate Both Safety and Security. CoRR (2024)
Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models. CoRR (2024)
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
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. ICLR (2024)
Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. CoRR (2024)
Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson
Fantastic Copyrighted Beasts and How (Not) to Generate Them. CoRR (2024)
Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore. CoRR (2024)
Fangyuan Xu, Weijia Shi, Eunsol Choi
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation. ICLR (2024)
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
In-Context Pretraining: Language Modeling Beyond Document Boundaries. ICLR (2024)
Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi
Do Membership Inference Attacks Work on Large Language Models? CoRR (2024)
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. ICLR (2024)
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
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. CoRR (2024)
Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. CoRR (2024)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer
Instruction-tuned Language Models are Better Knowledge Learners. ACL (1) (2024)
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
REPLUG: Retrieval-Augmented Black-Box Language Models. NAACL-HLT (2024)
Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. ICLR (2024)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer
Instruction-tuned Language Models are Better Knowledge Learners. CoRR (2024)
Boyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson
Evaluating Copyright Takedown Methods for Language Models. CoRR (2024)
Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang
MUSE: Machine Unlearning Six-Way Evaluation for Language Models. CoRR (2024)
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
Detecting Pretraining Data from Large Language Models. ICLR (2024)
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
Lemur: Harmonizing Natural Language and Code for Language Agents. ICLR (2024)
Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
Mixture of Prompt Experts for Generalizable and Interpretable Question Answering. CoRR (2023)
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
In-Context Pretraining: Language Modeling Beyond Document Boundaries. CoRR (2023)
Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? EMNLP (Findings) (2023)
Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. NeurIPS (2023)
Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
Getting MoRE out of Mixture of Language Model Reasoning Experts. EMNLP (Findings) (2023)
Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer
Scaling Expert Language Models with Unsupervised Domain Discovery. CoRR (2023)
Fangyuan Xu, Weijia Shi, Eunsol Choi
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation. CoRR (2023)
Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3. ICCV (2023)
Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang
The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing. KDD (2023)
Yangsibo Huang, Daogao Liu, Zexuan Zhong, Weijia Shi, Yin Tat Lee
kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models. CoRR (2023)
Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ACL (Findings) (2023)
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR (2023)
Bingquan Wang, Weijia Shi, Bo Zhao, Jiubin Tan
Air-Coupled Ultrasonic Lamb Wave In Situ Stress Measurement Method for Composite Plates. IEEE Trans. Instrum. Meas. 72 (2023)
Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. CoRR (2023)
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
Nonparametric Masked Language Modeling. ACL (Findings) (2023)
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
REPLUG: Retrieval-Augmented Black-Box Language Models. CoRR (2023)
Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. EMNLP (Findings) (2023)
Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. CoRR (2023)
Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih
Retrieval-Augmented Multimodal Language Modeling. ICML (2023)
Weijia Shi, Jiaxin Li, Sen Deng, Shaokai Wang, Bo Zhao, Jiubin Tan
Stress Online Monitoring Method Based on Multifrequency SH0 Guided Wave Information Fusion. IEEE Trans. Instrum. Meas. 72 (2023)
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
Detecting Pretraining Data from Large Language Models. CoRR (2023)
Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
Selective Annotation Makes Language Models Better Few-Shot Learners. ICLR (2023)
Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Resolving Knowledge Conflicts in Large Language Models. CoRR (2023)
Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. CoRR (2023)
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
Lemur: Harmonizing Natural Language and Code for Language Agents. CoRR (2023)
Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer
Nearest Neighbor Zero-Shot Inference. EMNLP (2022)
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
Nonparametric Masked Language Modeling. CoRR (2022)
Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo
PromptCap: Prompt-Guided Task-Aware Image Captioning. CoRR (2022)
Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
Selective Annotation Makes Language Models Better Few-Shot Learners. CoRR (2022)
Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer
Nearest Neighbor Zero-Shot Inference. CoRR (2022)
Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. CoRR (2022)
Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. CoRR (2022)
Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Rich James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
Retrieval-Augmented Multimodal Language Modeling. CoRR (2022)
Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? CoRR (2022)
Bo Zhao, Weijia Shi, Bingquan Wang, Jiubin Tan
An adjustable anti-resonance frequency controller for a dual-stage actuation semi-active vibration isolation system. Frontiers Inf. Technol. Electron. Eng. 22 (10) (2021)
Weijia Shi, Mandar Joshi, Luke Zettlemoyer
DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions. CoRR (2021)
Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth
Cross-lingual Entity Alignment with Incidental Supervision. EACL (2021)
Weijia Shi, Mandar Joshi, Luke Zettlemoyer
DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions. ACL/IJCNLP (1) (2021)
Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi
On Tractable Representations of Binary Neural Networks. KR (2020)
Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text. CoRR (2020)
Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth
Design Challenges in Low-resource Cross-lingual Entity Linking. EMNLP (1) (2020)
Xingyu Fu, Weijia Shi, Zian Zhao, Xiaodong Yu, Dan Roth
Design Challenges for Low-resource Cross-lingual Entity Linking. CoRR (2020)
Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi
On Tractable Representations of Binary Neural Networks. CoRR (2020)
Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang
Retrofitting Contextualized Word Embeddings with Paraphrases. EMNLP/IJCNLP (1) (2019)
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
Examining Gender Bias in Languages with Grammatical Gender. CoRR (2019)
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
Examining Gender Bias in Languages with Grammatical Gender. EMNLP/IJCNLP (1) (2019)
Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang
Learning Bilingual Word Embeddings Using Lexical Definitions. CoRR (2019)
Bo Zhao, Weijia Shi, Ding Sun, Jiaxin Li, Feng Li, Jiubin Tan
Extending Velocity Sensor Bandwidth by Compensating Temperature Dependency Based on BP Neural Network. IEEE Access 7 (2019)
Zhubo Deng, Weijia Shi, Pei Zhou, Muhao Chen, Kai-Wei Chang
Computational Analysis of French Reborrowing Process for English Loanwords. ICDM Workshops (2019)
Weijia Shi, Bo Zhao, Xue Qi, Yiran Wang, Hui Zhao, Weishan Chen, Jiubin Tan
Pseudo-Full-Bridge Inverter With Soft-Switching Capability for a Quarter-Phase Ultrasonic Motor. IEEE Trans. Ind. Electron. 66 (6) (2019)
Bo Zhao, Weijia Shi, Jiubin Tan
Design and Control of a Dual-Stage Actuation Active Vibration Isolation System. IEEE Access 7 (2019)
Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang
Retrofitting Contextualized Word Embeddings with Paraphrases. CoRR (2019)
Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang
Learning Bilingual Word Embeddings Using Lexical Definitions. RepL4NLP@ACL (2019)
Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo
Embedding Uncertain Knowledge Graphs. AAAI (2019)
Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo
Embedding Uncertain Knowledge Graphs. CoRR (2018)
Bo Zhao, Weijia Shi, Ming Zhang, Jiaxin Li, Feng Li
Desired Compensation Adaptive Robust Control of an Active Vibration Isolation System. Complex. 2018 (2018)
Bo Zhao, Weijia Shi, Jiawei Zhang, Ming Zhang, Xue Qi, Jiaxin Li, Feng Li, Jiubin Tan
Six Degrees of Freedom Displacement Measurement System for Wafer Stage Composed of Hall Sensors. Sensors 18 (7) (2018)
Weijia Shi, Hui Zhao, Jie Ma, Yu Yao
Dead-Zone Compensation of an Ultrasonic Motor Using an Adaptive Dither. IEEE Trans. Ind. Electron. 65 (5) (2018)
Weijia Shi, Hui Zhao, Jie Ma, Yu Yao
An Optimum-Frequency Tracking Scheme for Ultrasonic Motor. IEEE Trans. Ind. Electron. 64 (6) (2017)
Shaowei Wang, Weijia Shi, Chonggang Wang
Energy-Efficient Resource Management in OFDM-Based Cognitive Radio Networks Under Channel Uncertainty. IEEE Trans. Commun. 63 (9) (2015)
Weijia Shi, Shaowei Wang, Dageng Chen
Energy- and spectrum-efficiency tradeoff in OFDM-based cognitive radio systems. GLOBECOM (2014)
Weijia Shi, Shaowei Wang
Energy-efficient resource allocation in cognitive radio systems. WCNC (2013)