Weijia Shi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
16
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | When One LLM Drools, Multi-LLM Collaboration Rules. | Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Shannon Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov |
| 2026 | ACL | Data Swarms: Optimizable Generation of Synthetic Evaluation Data. | Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov |
| 2026 | IUI | Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models. | Rock Yuren Pang, K. J. Kevin Feng, Shangbin Feng, Chu Li, Weijia Shi, Yulia Tsvetkov, Jeffrey Heer, Katharina Reinecke |
| 2025 | EMNLP | s1: Simple test-time scaling. | Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Cands, Tatsunori Hashimoto |
| 2025 | ICLR | MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models. | Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao |
| 2025 | ICLR | 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 |
| 2025 | ICLR | OLMoE: Open Mixture-of-Experts Language Models. | 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. |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 . Arik, Danqi Chen, Tao Yu |
| 2025 | SMC | ROBIN: A Distributed MARL Approach for Dynamic Bandwidth Optimization in Drone Ad-Hoc Networks. | Xueyu Sun, Weijia Shi, Baokang Zhao, Huan Zhou, Xuefeng Huang |
| 2024 | ACL | Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. | Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov |
| 2024 | ACL | Instruction-tuned Language Models are Better Knowledge Learners. | Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodrguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. | Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Detecting Pretraining Data from Large Language Models. | Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer |
| 2024 | ICLR | 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 |
| 2024 | ICLR | RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation. | Fangyuan Xu, Weijia Shi, Eunsol Choi |
| 2024 | ICLR | 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 |
| 2024 | ICSOC | Not Best but Fair: Achieving a Fair Service Deployment Through Sky Computing for Latency-Sensitive Applications. | Weijia Shi, Baokang Zhao, Huan Zhou |
| 2024 | NAACL | Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. | Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih |
| 2024 | NAACL | REPLUG: Retrieval-Augmented Black-Box Language Models. | Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih |
| 2023 | ACL | Nonparametric Masked Language Modeling. | Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2023 | ACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Getting MoRE out of Mixture of Language Model Reasoning Experts. | Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber |
| 2023 | EMNLP | RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. | Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer |
| 2023 | ICCV | PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3. | Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo |
| 2023 | ICLR | 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 |
| 2023 | ICML | Retrieval-Augmented Multimodal Language Modeling. | Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih |
| 2023 | KDD | The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing. | Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang |
| 2022 | EMNLP | Nearest Neighbor Zero-Shot Inference. | Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer |
| 2021 | ACL | DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions. | Weijia Shi, Mandar Joshi, Luke Zettlemoyer |
| 2021 | EACL | Cross-lingual Entity Alignment with Incidental Supervision. | Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth |
| 2020 | EMNLP | Design Challenges in Low-resource Cross-lingual Entity Linking. | Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth |
| 2020 | KR | On Tractable Representations of Binary Neural Networks. | Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi |
| 2019 | AAAI | Embedding Uncertain Knowledge Graphs. | Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo |
| 2019 | EMNLP | Retrofitting Contextualized Word Embeddings with Paraphrases. | Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang |
| 2019 | EMNLP | Examining Gender Bias in Languages with Grammatical Gender. | Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang |
| 2019 | ICDM | Computational Analysis of French Reborrowing Process for English Loanwords. | Zhubo Deng, Weijia Shi, Pei Zhou, Muhao Chen, Kai-Wei Chang |
| 2014 | GLOBECOM | Energy- and spectrum-efficiency tradeoff in OFDM-based cognitive radio systems. | Weijia Shi, Shaowei Wang, Dageng Chen |
| 2013 | WCNC | Energy-efficient resource allocation in cognitive radio systems. | Weijia Shi, Shaowei Wang |