Yijia Shao

34 papers A* 8Journal 21Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
Aligning Language Models with Demonstrated Feedback.
ICLR
Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Hyundong Justin Cho, Michael S. Bernstein, Diyi Yang
2025 J jnl
Challenges and Paths Towards AI for Software Engineering.
CoRR
Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Yijia Shao, Ziyang Li, Diyi Yang, Kevin Ellis, Koushik Sen, Armando Solar-Lezama
2025 J jnl
Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce.
CoRR
Yijia Shao, Humishka Zope, Yucheng Jiang, Jiaxin Pei, David Nguyen, Erik Brynjolfsson, Diyi Yang
2025 J jnl
Generative Interfaces for Language Models.
CoRR
Jiaqi Chen, Yanzhe Zhang, Yutong Zhang, Yijia Shao, Diyi Yang
2025 J jnl
How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations.
CoRR
Zora Zhiruo Wang, Yijia Shao, Omar Shaikh, Daniel Fried, Graham Neubig, Diyi Yang
2025 J jnl
Personalization of Large Language Models: A Survey.
Trans. Mach. Learn. Res.
Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang
2024 — conf
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models.
NAACL-HLT
Yijia Shao, Yucheng Jiang, Theodore A. Kanell, Peter Xu, Omar Khattab, Monica S. Lam
2024 J jnl
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models.
CoRR
Yijia Shao, Yucheng Jiang, Theodore A. Kanell, Peter Xu, Omar Khattab, Monica S. Lam
2024 A* conf
Class Incremental Learning via Likelihood Ratio Based Task Prediction.
ICLR
Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu
2024 J jnl
Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration.
CoRR
Yijia Shao, Vinay Samuel, Yucheng Jiang, John Yang, Diyi Yang
2024 A* conf
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations.
EMNLP
Yucheng Jiang, Yijia Shao, Dekun Ma, Sina J. Semnani, Monica S. Lam
2024 J jnl
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations.
CoRR
Yucheng Jiang, Yijia Shao, Dekun Ma, Sina J. Semnani, Monica S. Lam
2024 J jnl
Personalization of Large Language Models: A Survey.
CoRR
Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang
2024 A* conf
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action.
NeurIPS
Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, Diyi Yang
2024 J jnl
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action.
CoRR
Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, Diyi Yang
2024 J jnl
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.
CoRR
Eric Zelikman, Georges Harik, Yijia Shao, Varuna Jayasiri, Nick Haber, Noah D. Goodman
2024 J jnl
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback.
CoRR
Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Michael S. Bernstein, Diyi Yang
2023 — conf
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems.
ACL (1)
Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng
2023 J jnl
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems.
CoRR
Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan, Nanyun Peng
2023 J jnl
Adapting a Language Model While Preserving its General Knowledge.
CoRR
Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
2023 — conf
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks.
ACL (Findings)
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
2023 J jnl
Class Incremental Learning via Likelihood Ratio Based Task Prediction.
CoRR
Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu
2023 — conf
Class-Incremental Learning based on Label Generation.
ACL (2)
Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu
2023 J jnl
Class-Incremental Learning based on Label Generation.
CoRR
Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu
2023 J jnl
Continual Learning of Language Models.
CoRR
Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
2023 A* conf
Continual Pre-training of Language Models.
ICLR
Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
2022 A* conf
Adapting a Language Model While Preserving its General Knowledge.
EMNLP
Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
2022 — conf
CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection.
ECML/PKDD (4)
Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu
2022 A* conf
Continual Training of Language Models for Few-Shot Learning.
EMNLP
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
2022 J jnl
Continual Training of Language Models for Few-Shot Learning.
CoRR
Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
2022 A* conf
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information.
EMNLP
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
2022 J jnl
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information.
CoRR
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
2022 J jnl
Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information.
CoRR
Xinyi He, Mengyu Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
2022 J jnl
LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training.
CoRR
Hongwei Han, Jialiang Xu, Mengyu Zhou, Yijia Shao, Shi Han, Dongmei Zhang