default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWeijia Shi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j12]Ruicheng Sha, Weijia Shi:
The enduring appeal of Mahjong: Navigating the challenges of AI integration. Entertain. Comput. 52: 100915 (2025)- [c43]Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao:
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models. ICLR 2025 - [c42]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. ICLR 2025 - [c41]Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan 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, et al.:
OLMoE: Open Mixture-of-Experts Language Models. ICLR 2025 - [c40]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. ICLR 2025 - [c39]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. ICLR 2025 - [i51]Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Candès, Tatsunori Hashimoto:
s1: Simple test-time scaling. CoRR abs/2501.19393 (2025) - [i50]Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov:
When One LLM Drools, Multi-LLM Collaboration Rules. CoRR abs/2502.04506 (2025) - [i49]Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister:
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. CoRR abs/2502.04510 (2025) - [i48]Kenneth C. Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzeminski, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Gabriel Sequeira, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çagatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafal Poswiata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Mariya Hendriksen, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal A. Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri Krishnakumar, Anna Maksimova, Silvan Wehrli
, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Hongjin Su, Jimmy Lin, Howard Yen, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff:
MMTEB: Massive Multilingual Text Embedding Benchmark. CoRR abs/2502.13595 (2025) - [i47]Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang:
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR abs/2502.14296 (2025) - 2024
- [c38]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: 5421-5434 - [c37]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov:
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. ACL (1) 2024: 14664-14690 - [c36]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. EMNLP 2024: 4125-4150 - [c35]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 - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]Fangyuan Xu, Weijia Shi, Eunsol Choi:
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation. ICLR 2024 - [c29]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 - [c28]Weijia Shi, Baokang Zhao, Huan Zhou:
Not Best but Fair: Achieving a Fair Service Deployment Through Sky Computing for Latency-Sensitive Applications. ICSOC (2) 2024: 45-52 - [c27]Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih:
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. NAACL (Short Papers) 2024: 783-791 - [c26]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: 8371-8384 - [c25]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. NeurIPS 2024 - [c24]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. NeurIPS 2024 - [c23]Boyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson:
Evaluating Copyright Takedown Methods for Language Models. NeurIPS 2024 - [i46]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 abs/2402.00367 (2024) - [i45]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 abs/2402.07841 (2024) - [i44]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 abs/2402.12847 (2024) - [i43]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 abs/2405.19524 (2024) - [i42]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 abs/2406.09403 (2024) - [i41]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 abs/2406.14526 (2024) - [i40]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 abs/2406.15948 (2024) - [i39]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 abs/2406.18664 (2024) - [i38]Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman:
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. CoRR abs/2407.02446 (2024) - [i37]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 abs/2407.06460 (2024) - [i36]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 abs/2407.12854 (2024) - [i35]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 abs/2407.12883 (2024) - [i34]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:
OLMoE: Open Mixture-of-Experts Language Models. CoRR abs/2409.02060 (2024) - [i33]Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao:
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models. CoRR abs/2410.13085 (2024) - [i32]Akari Asai, Jacqueline He, Rulin Shao, Weijia Shi, Amanpreet Singh, Joseph Chee Chang, Kyle Lo, Luca Soldaini, Sergey Feldman, Mike D'Arcy, David Wadden, Matt Latzke, Minyang Tian, Pan Ji, Shengyan Liu, Hao Tong, Bohao Wu, Yanyu Xiong, Luke Zettlemoyer, Graham Neubig, Daniel S. Weld, Doug Downey, Wen-tau Yih, Pang Wei Koh, Hannaneh Hajishirzi:
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. CoRR abs/2411.14199 (2024) - [i31]Jaskirat Singh, Lindsey Li, Weijia Shi, Ranjay Krishna, Yejin Choi, Pang Wei Koh, Michael F. Cohen, Stephen Gould, Liang Zheng, Luke Zettlemoyer:
Negative Token Merging: Image-based Adversarial Feature Guidance. CoRR abs/2412.01339 (2024) - [i30]Weijia Shi, Xiaochuang Han, Chunting Zhou, Weixin Liang, Xi Victoria Lin, Luke Zettlemoyer, Lili Yu:
LMFusion: Adapting Pretrained Language Models for Multimodal Generation. CoRR abs/2412.15188 (2024) - 2023
- [j11]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: 1-13 (2023) - [j10]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: 1-10 (2023) - [c22]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: 1102-1121 - [c21]Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer:
Nonparametric Masked Language Modeling. ACL (Findings) 2023: 2097-2118 - [c20]Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer:
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. EMNLP (Findings) 2023: 7055-7067 - [c19]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: 8234-8249 - [c18]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: 10994-11005 - [c17]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: 2951-2963 - [c16]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 - [c15]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: 39755-39769 - [c14]Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang:
The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing. KDD 2023: 5899-5900 - [c13]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 - [i29]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 abs/2301.12652 (2023) - [i28]Yangsibo Huang, Daogao Liu, Zexuan Zhong, Weijia Shi, Yin Tat Lee:
kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models. CoRR abs/2302.10879 (2023) - [i27]Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer:
Scaling Expert Language Models with Unsupervised Domain Discovery. CoRR abs/2303.14177 (2023) - [i26]Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR abs/2305.09955 (2023) - [i25]Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber:
Mixture of Prompt Experts for Generalizable and Interpretable Question Answering. CoRR abs/2305.14628 (2023) - [i24]Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih:
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. CoRR abs/2305.14739 (2023) - [i23]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 abs/2306.01693 (2023) - [i22]Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Resolving Knowledge Conflicts in Large Language Models. CoRR abs/2310.00935 (2023) - [i21]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 abs/2310.01352 (2023) - [i20]Fangyuan Xu, Weijia Shi, Eunsol Choi:
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation. CoRR abs/2310.04408 (2023) - [i19]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 abs/2310.06830 (2023) - [i18]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 abs/2310.10638 (2023) - [i17]Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer:
Detecting Pretraining Data from Large Language Models. CoRR abs/2310.16789 (2023) - 2022
- [c12]Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer:
Nearest Neighbor Zero-Shot Inference. EMNLP 2022: 3254-3265 - [i16]Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer:
Nearest Neighbor Zero-Shot Inference. CoRR abs/2205.13792 (2022) - [i15]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 abs/2209.01975 (2022) - [i14]Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer:
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. CoRR abs/2210.14353 (2022) - [i13]Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo:
PromptCap: Prompt-Guided Task-Aware Image Captioning. CoRR abs/2211.09699 (2022) - [i12]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 abs/2211.12561 (2022) - [i11]Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer:
Nonparametric Masked Language Modeling. CoRR abs/2212.01349 (2022) - [i10]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 abs/2212.09741 (2022) - [i9]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 abs/2212.10539 (2022) - 2021
- [j9]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): 1390-1401 (2021) - [c11]Weijia Shi, Mandar Joshi, Luke Zettlemoyer:
DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions. ACL/IJCNLP (1) 2021: 415-427 - [c10]Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth:
Cross-lingual Entity Alignment with Incidental Supervision. EACL 2021: 645-658 - [i8]Weijia Shi, Mandar Joshi, Luke Zettlemoyer:
DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions. CoRR abs/2106.05365 (2021) - 2020
- [c9]Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth:
Design Challenges in Low-resource Cross-lingual Entity Linking. EMNLP (1) 2020: 6418-6432 - [c8]Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi:
On Tractable Representations of Binary Neural Networks. KR 2020: 882-892 - [i7]Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi:
On Tractable Representations of Binary Neural Networks. CoRR abs/2004.02082 (2020) - [i6]Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth:
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text. CoRR abs/2005.00171 (2020) - [i5]Xingyu Fu, Weijia Shi, Zian Zhao, Xiaodong Yu, Dan Roth:
Design Challenges for Low-resource Cross-lingual Entity Linking. CoRR abs/2005.00692 (2020)
2010 – 2019
- 2019
- [j8]Bo Zhao, Weijia Shi, Jiubin Tan:
Design and Control of a Dual-Stage Actuation Active Vibration Isolation System. IEEE Access 7: 134556-134563 (2019) - [j7]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: 154889-154898 (2019) - [j6]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): 4199-4208 (2019) - [c7]Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo:
Embedding Uncertain Knowledge Graphs. AAAI 2019: 3363-3370 - [c6]Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang:
Retrofitting Contextualized Word Embeddings with Paraphrases. EMNLP/IJCNLP (1) 2019: 1198-1203 - [c5]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: 5275-5283 - [c4]Zhubo Deng, Weijia Shi, Pei Zhou, Muhao Chen, Kai-Wei Chang:
Computational Analysis of French Reborrowing Process for English Loanwords. ICDM Workshops 2019: 1-4 - [c3]Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang:
Learning Bilingual Word Embeddings Using Lexical Definitions. RepL4NLP@ACL 2019: 142-147 - [i4]Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang:
Learning Bilingual Word Embeddings Using Lexical Definitions. CoRR abs/1906.08939 (2019) - [i3]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 abs/1909.02224 (2019) - [i2]Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang:
Retrofitting Contextualized Word Embeddings with Paraphrases. CoRR abs/1909.09700 (2019) - 2018
- [j5]Bo Zhao, Weijia Shi, Ming Zhang, Jiaxin Li, Feng Li:
Desired Compensation Adaptive Robust Control of an Active Vibration Isolation System. Complex. 2018: 4136972:1-4136972:11 (2018) - [j4]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): 2030 (2018) - [j3]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): 3730-3739 (2018) - [i1]Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo:
Embedding Uncertain Knowledge Graphs. CoRR abs/1811.10667 (2018) - 2017
- [j2]Weijia Shi, Hui Zhao, Jie Ma, Yu Yao:
An Optimum-Frequency Tracking Scheme for Ultrasonic Motor. IEEE Trans. Ind. Electron. 64(6): 4413-4422 (2017) - 2015
- [j1]Shaowei Wang, Weijia Shi, Chonggang Wang:
Energy-Efficient Resource Management in OFDM-Based Cognitive Radio Networks Under Channel Uncertainty. IEEE Trans. Commun. 63(9): 3092-3102 (2015) - 2014
- [c2]Weijia Shi, Shaowei Wang, Dageng Chen:
Energy- and spectrum-efficiency tradeoff in OFDM-based cognitive radio systems. GLOBECOM 2014: 3092-3097 - 2013
- [c1]Weijia Shi, Shaowei Wang:
Energy-efficient resource allocation in cognitive radio systems. WCNC 2013: 4618-4623
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-15 22:34 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
