YFilter at TREC-9. - Yi Zhang 001; James P. Callan (TREC, 2000)

Maximum Likelihood Estimation for Filtering Thresholds. - Yi Zhang 001; James P. Callan (SIGIR, 2001)

The Bias Problem and Language Models in Adaptive Filtering. - Yi Zhang 001; James P. Callan (TREC, 2001)

Novelty and redundancy detection in adaptive filtering. - Yi Zhang 001; James P. Callan; Thomas P. Minka (SIGIR, 2002)

Information Filtering, Novelty Detection, and Named-Page Finding. - Kevyn Collins-Thompson; Paul Ogilvie; Yi Zhang 001; Jamie Callan (TREC, 2002)

Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning. - Yi Zhang 001; Wei Xu 017; James P. Callan (ICML, 2003)

Using bayesian priors to combine classifiers for adaptive filtering. - Yi Zhang 001 (SIGIR, 2004)

Combining Multiple Forms of Evidence While Filtering. - Yi Zhang 001; Jamie Callan (HLT/EMNLP, 2005)

Bayesian graphical models for adaptive filtering. - Yi Zhang 001 (SIGIR Forum, 2005)

Bayesian adaptive user profiling with explicit & implicit feedback. - Philip Zigoris; Yi Zhang 001 (CIKM, 2006)

Unsupervised Learning of Tree Alignment Models for Information Extraction. - Philip Zigoris; Damian Eads; Yi Zhang 001 (ICDM Workshops, 2006)

UCSC on REC 2006 Blog Opinion Mining. - Ethan Zhang; Yi Zhang 001 (TREC, 2006)

Incorporating Diversity and Density in Active Learning for Relevance Feedback. - Zuobing Xu; Ram Akella; Yi Zhang 001 (ECIR, 2007)

Searching and navigating petabyte-scale file systems based on facets. - Jonathan Koren; Andrew W. Leung; Yi Zhang 001; Carlos Maltzahn; Sasha Ames; Ethan L. Miller (PDSW, 2007)

Efficient bayesian hierarchical user modeling for recommendation system. - Yi Zhang 001; Jonathan Koren (SIGIR, 2007)

Fast exact maximum likelihood estimation for mixture of language models. - Yi Zhang 001; Wei Xu 017 (SIGIR, 2007)

Web based linkage. - Ergin Elmacioglu; Min-Yen Kan; Dongwon Lee 001; Yi Zhang 001 (WIDM, 2007)

Automatic Web Tagging and Person Tagging Using Language Models. - Qiaozhu Mei; Yi Zhang 001 (ADMA, 2008)

Open Domain Recommendation: Social Networks and Collaborative Filtering. - Sarah K. Tyler; Yi Zhang 001 (ADMA, 2008)

Probabilistic polyadic factorization and its application to personalized recommendation. - Yun Chi; Shenghuo Zhu; Yihong Gong; Yi Zhang 001 (CIKM, 2008)

Fuzzy trust recommendation based on collaborative filtering for mobile ad-hoc networks. - Junhai Luo; Xue Liu 001; Yi Zhang 001; Danxia Ye; Zhong Xu (LCN, 2008)

Personalized interactive faceted search. - Jonathan Koren; Yi Zhang 001; Xue Liu 001 (WWW, 2008)

Complex adaptive filtering user profile using graphical models. - Yi Zhang 001 (Inf. Process. Manag., 2008)

Fast exact maximum likelihood estimation for mixture of language model. - Yi Zhang 001; Wei Xu 017 (Inf. Process. Manag., 2008)

Classifying Software Changes: Clean or Buggy? - Sunghun Kim 001; E. James Whitehead Jr.; Yi Zhang 001 (IEEE Trans. Software Eng., 2008)

User Interface Design. - Moritz Stefaner; Sébastien Ferré; Saverio Perugini; Jonathan Koren; Yi Zhang 001 (Dynamic Taxonomies and Faceted Search, 2009)

Ordering innovators and laggards for product categorization and recommendation. - Sarah K. Tyler; Shenghuo Zhu; Yun Chi; Yi Zhang 001 (RecSys, 2009)

User-centric multi-criteria information retrieval. - Shawn R. Wolfe; Yi Zhang 001 (SIGIR, 2009)

Information retrieval and advertising. - Mikhail Bilenko; Evgeniy Gabrilovich; Matthew Richardson; Yi Zhang 001 (SIGIR Forum, 2009)

iOLAP: A Framework for Analyzing the Internet, Social Networks, and Other Networked Data. - Yun Chi; Shenghuo Zhu; Koji Hino; Yihong Gong; Yi Zhang 001 (IEEE Trans. Multim., 2009)

Average Precision. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems, 2009)

Eleven Point Precision-recall Curve. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems, 2009)

F-Measure. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems, 2009)

Precision. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems, 2009)

Recall. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems, 2009)

Standard Effectiveness Measures. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems, 2009)

Utilizing re-finding for personalized information retrieval. - Sarah K. Tyler; Jian Wang 106; Yi Zhang 001 (CIKM, 2010)

Discriminative factored prior models for personalized content-based recommendation. - Lanbo Zhang; Yi Zhang 001 (CIKM, 2010)

Mixture model based contextual image retrieval. - Xing Xing; Yi Zhang 001; Bo Gong (CIVR, 2010)

Query Difficulty Prediction for Contextual Image Retrieval. - Xing Xing; Yi Zhang 001; Mei Han (ECIR, 2010)

Training Conditional Random Fields Using Transfer Learning for Gesture Recognition. - Jie Liu 007; Kai Yu; Yi Zhang 001; Yalou Huang (ICDM, 2010)

Action Recognition by Multiple Features and Hyper-Sphere Multi-class SVM. - Jia Liu; Jie Yang 002; Yi Zhang 001; Xiangjian He (ICPR, 2010)

Interactive retrieval based on faceted feedback. - Lanbo Zhang; Yi Zhang 001 (SIGIR, 2010)

Interaction and Personalization of Criteria in Recommender Systems. - Shawn R. Wolfe; Yi Zhang 001 (UMAP, 2010)

Unusual event detection and prediction based on sectional contextual edit distance. - Yi Zhang 001; Jie Yang 002; Kun Liu (J. Electronic Imaging, 2010)

Learning conditional random fields with latent sparse features for acronym expansion finding. - Jie Liu 007; Jimeng Chen; Yi Zhang 001; Yalou Huang (CIKM, 2011)

On bias problem in relevance feedback. - Qianli Xing 001; Yi Zhang 001; Lanbo Zhang (CIKM, 2011)

Best document selection based on approximate utility optimization. - Hungyu Henry Lin; Yi Zhang 001; James E. Davis (SIGIR, 2011)

Utilizing marginal net utility for recommendation in e-commerce. - Jian Wang 106; Yi Zhang 001 (SIGIR, 2011)

Filtering semi-structured documents based on faceted feedback. - Lanbo Zhang; Yi Zhang 001; Qianli Xing 001 (SIGIR, 2011)

Have your cake and eat it too!: preserving privacy while achieving high behavioral targeting performance. - Qi Zhao; Yi Zhang 001; Lucian Vlad Lita (AdKDD@KDD, 2012)

Unified Recommendation and Search in E-Commerce. - Jian Wang 106; Yi Zhang 001; Tao Chen (AIRS, 2012)

4Is of social bully filtering: identity, inference, influence, and intervention. - Yunfei Chen 003; Lanbo Zhang; Aaron Michelony; Yi Zhang 001 (CIKM, 2012)

Multi-session re-search: in pursuit of repetition and diversification. - Sarah K. Tyler; Yi Zhang 001 (CIKM, 2012)

Summarizing highly structured documents for effective search interaction. - Lanbo Zhang; Yi Zhang 001; Yunfei Chen 003 (SIGIR, 2012)

Opportunity model for e-commerce recommendation: right product; right time. - Jian Wang 106; Yi Zhang 001 (SIGIR, 2013)

Is it time for a career switch? - Jian Wang 106; Yi Zhang 001; Christian Posse; Anmol Bhasin (WWW, 2013)

Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables. - Yongfeng Zhang; Min Zhang 006; Yi Zhang 001; Yiqun Liu 001; Shaoping Ma (CIKM, 2014)

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis. - Yongfeng Zhang; Guokun Lai; Min Zhang 006; Yi Zhang 001; Yiqun Liu 001; Shaoping Ma (SIGIR, 2014)

Learning from Labeled Features for Document Filtering. - Lanbo Zhang; Yi Zhang 001; Qianli Xing 001 (CoRR, 2014)

Task-based recommendation on a web-scale. - Yongfeng Zhang; Min Zhang 006; Yiqun Liu 001; Tat-Seng Chua; Yi Zhang 001; Shaoping Ma (IEEE BigData, 2015)

Life-stage Prediction for Product Recommendation in E-commerce. - Peng Jiang 002; Yadong Zhu; Yi Zhang 001; Quan Yuan (KDD, 2015)

E-commerce Recommendation with Personalized Promotion. - Qi Zhao; Yi Zhang 001; Daniel Friedman; Fangfang Tan (RecSys, 2015)

Exploiting User and Business Attributes for Personalized Business Recommendation. - Kai Lu; Yi Zhang 001; Lanbo Zhang; Shuxin Wang (SIGIR, 2015)

Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web. - Yuan Wang; Jie Liu 007; Yalou Huang; Yongfeng Zhang; Yi Zhang 001; Xintong Zhang (TREC, 2015)

Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis. - Yongfeng Zhang; Min Zhang 006; Yi Zhang 001; Guokun Lai; Yiqun Liu 001; Honghui Zhang; Shaoping Ma (WWW, 2015)

Overview of the Special Issue on Contextual Search and Recommendation. - Paul N. Bennett; Kevyn Collins-Thompson; Diane Kelly 001; Ryen W. White; Yi Zhang 001 (ACM Trans. Inf. Syst., 2015)

Conversational Recommendation System with Unsupervised Learning. - Yueming Sun 001; Yi Zhang 001; Yunfei Chen 003; Roger Jin (RecSys, 2016)

Economic Recommendation with Surplus Maximization. - Yongfeng Zhang; Qi Zhao; Yi Zhang 001; Daniel Friedman; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (WWW, 2016)

VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation. - Robin Burke; Gediminas Adomavicius; Ido Guy; Jan Krasnodebski; Luiz Augusto Pizzato; Yi Zhang 001; Himan Abdollahpouri (RecSys, 2017)

Multi-Product Utility Maximization for Economic Recommendation. - Qi Zhao; Yongfeng Zhang; Yi Zhang 001; Daniel Friedman (WSDM, 2017)

A Socio-linguistic Model for Cyberbullying Detection. - Sabina Tomkins; Lise Getoor; Yunfei Chen 003; Yi Zhang 001 (ASONAM, 2018)

Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. - Qiaolin Xia; Peng Jiang 002; Fei Sun 001; Yi Zhang 001; Xiaobo Wang 002; Zhifang Sui (CIKM, 2018)

Conversational Recommender System. - Yueming Sun 001; Yi Zhang 001 (SIGIR, 2018)

Item Retrieval as Utility Estimation. - Shawn R. Wolfe; Yi Zhang 001 (SIGIR, 2018)

SIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS 2018). - Yongfeng Zhang; Yi Zhang 001; Min Zhang 006 (SIGIR, 2018)

Report on EARS'18: 1st International Workshop on ExplainAble Recommendation and Search. - Yongfeng Zhang; Yi Zhang 001; Min Zhang 006 (SIGIR Forum, 2018)

Average Precision. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Eleven Point Precision-Recall Curve. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

F-Measure. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Precision. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Recall. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Standard Effectiveness Measures. - Ethan Zhang; Yi Zhang 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Evidence-based Trustworthiness. - Yi Zhang 001; Zachary G. Ives; Dan Roth 001 (ACL (1), 2019)

Dataset Relationship Management. - Zack Ives; Yi Zhang 001; Soonbo Han; Nan Zheng (CIDR, 2019)

Personalized re-ranking for recommendation. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Junfeng Ge; Wenwu Ou; Dan Pei (RecSys, 2019)

EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search. - Yongfeng Zhang; Yi Zhang 001; Min Zhang 006; Chirag Shah 001 (SIGIR, 2019)

Personalized Context-aware Re-ranking for E-commerce Recommender Systems. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Wenwu Ou; Dan Pei (CoRR, 2019)

Juneau: Data Lake Management for Jupyter. - Yi Zhang 001; Zachary G. Ives (Proc. VLDB Endow., 2019)

"Who said it, and Why?" Provenance for Natural Language Claims. - Yi Zhang 001; Zachary G. Ives; Dan Roth 001 (ACL, 2020)

Tutorial on Conversational Recommendation Systems. - Zuohui Fu; Yikun Xian; Yongfeng Zhang; Yi Zhang 001 (RecSys, 2020)

EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search. - Yongfeng Zhang; Xu Chen 017; Yi Zhang 001; Min Zhang 006; Chirag Shah 001 (SIGIR, 2020)

Finding Related Tables in Data Lakes for Interactive Data Science. - Yi Zhang 001; Zachary G. Ives (SIGMOD Conference, 2020)

What is Your Article Based On? Inferring Fine-grained Provenance. - Yi Zhang 001; Zachary G. Ives; Dan Roth 001 (ACL/IJCNLP (1), 2021)

IUI 2021 Tutorial on Conversational Recommendation Systems. - Zuohui Fu; Yikun Xian; Yongfeng Zhang; Yi Zhang 001 (IUI Companion, 2021)

Learning to Decompose and Organize Complex Tasks. - Yi Zhang 001; Sujay Kumar Jauhar; Julia Kiseleva; Ryen White; Dan Roth 001 (NAACL-HLT, 2021)

Visual Question Rewriting for Increasing Response Rate. - Jiayi Wei; Xilian Li; Yi Zhang 001; Xin Eric Wang (SIGIR, 2021)

CSR 2021: The 1st International Workshop on Causality in Search and Recommendation. - Yongfeng Zhang; Xu Chen 017; Yi Zhang 001; Xianjie Chen (SIGIR, 2021)

WSDM 2021 Tutorial on Conversational Recommendation Systems. - Zuohui Fu; Yikun Xian; Yongfeng Zhang; Yi Zhang 001 (WSDM, 2021)

Label Semantic Aware Pre-training for Few-shot Text Classification. - Aaron Mueller; Jason Krone; Salvatore Romeo; Saab Mansour; Elman Mansimov; Yi Zhang 001; Dan Roth 001 (ACL (1), 2022)

Variable-step self-adaptive filtering algorithm applied to active sonar self-interference suppression. - Weijie Ning; Xiaomin Zhang; Yang Yu 040; Mingguang Li; Yi Zhang 001; Ping Dong (ICSPCC, 2022)

Multi-channel frequency domain adaptive line spectrum enhancement technology based on line array. - Yang Yu 040; Mingguang Li; Yufei Wang; Weijie Ning; Yi Zhang 001 (ICSPCC, 2022)

The Positioning Accuracy Analysis of Mobile Multi-Base Sonar Range Information Based on Clusters of UUVs. - Yi Zhang 001; Xiaomin Zhang; Yang Yu 040; Mingguang Li; Weijie Ning; Jie Yang 002 (ICSPCC, 2022)

Design Challenges for a Multi-Perspective Search Engine. - Sihao Chen; Siyi Liu; Xander Uyttendaele; Yi Zhang 001; William Bruno; Dan Roth 001 (NAACL-HLT (Findings), 2022)

Aerial Vision-and-Dialog Navigation. - Yue Fan; Winson Chen; Tongzhou Jiang; Chun Zhou; Yi Zhang 001; Xin Eric Wang (CoRR, 2022)

Dialog2API: Task-Oriented Dialogue with API Description and Example Programs. - Raphael Shu; Elman Mansimov; Tamer Alkhouli; Nikolaos Pappas 004; Salvatore Romeo; Arshit Gupta; Saab Mansour; Yi Zhang 001; Dan Roth 001 (CoRR, 2022)

Aerial Vision-and-Dialog Navigation. - Yue Fan; Winson Chen; Tongzhou Jiang; Chun Zhou; Yi Zhang 001; Xin Wang (ACL (Findings), 2023)

Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification. - Mujeen Sung; James Gung; Elman Mansimov; Nikolaos Pappas 004; Raphael Shu; Salvatore Romeo; Yi Zhang 001; Vittorio Castelli (EMNLP, 2023)

Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing. - Shufan Wang; Sébastien Jean; Sailik Sengupta; James Gung; Nikolaos Pappas 004; Yi Zhang 001 (EMNLP (Findings), 2023)

Conversation Style Transfer using Few-Shot Learning. - Shamik Roy; Raphael Shu; Nikolaos Pappas 004; Elman Mansimov; Yi Zhang 001; Saab Mansour; Dan Roth 001 (IJCNLP (1), 2023)

Controllable Text-to-Image Generation with GPT-4. - Tianjun Zhang; Yi Zhang 001; Vibhav Vineet; Neel Joshi; Xin Wang 066 (CoRR, 2023)

Textbooks Are All You Need. - Suriya Gunasekar; Yi Zhang 001; Jyoti Aneja; Caio César Teodoro Mendes; Allie Del Giorno; Sivakanth Gopi; Mojan Javaheripi; Piero Kauffmann; Gustavo de Rosa; Olli Saarikivi; Adil Salim; Shital Shah; et al. (CoRR, 2023)

Tackling Vision Language Tasks through Learning Inner Monologues. - Diji Yang; Kezhen Chen; Jinmeng Rao; Xiaoyuan Guo; Yawen Zhang; Jie Yang 002; Yi Zhang 001 (AAAI, 2024)

Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval. - Peter Baile Chen; Yi Zhang 001; Dan Roth 001 (ACL (1), 2024)

Backward Compatibility During Data Updates by Weight Interpolation. - Raphael Schumann; Elman Mansimov; Yi-An Lai; Nikolaos Pappas 004; Xibin Gao; Yi Zhang 001 (EACL (1), 2024)

MDCR: A Dataset for Multi-Document Conditional Reasoning. - Peter Baile Chen; Yi Zhang 001; Chunwei Liu; Sejal Gupta; Yoon Kim; Mike Cafarella (EMNLP (Findings), 2024)

Right this way: Can VLMs Guide Us to See More to Answer Questions? - Li Liu 046; Diji Yang; Sijia Zhong; Kalyana Suma Sree Tholeti; Lei Ding; Yi Zhang 001; Leilani Gilpin (NeurIPS, 2024)

IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. - Diji Yang; Jinmeng Rao; Kezhen Chen; Xiaoyuan Guo; Yawen Zhang; Jie Yang 002; Yi Zhang 001 (SIGIR, 2024)

Is Table Retrieval a Solved Problem? Join-Aware Multi-Table Retrieval. - Peter Baile Chen; Yi Zhang 001; Dan Roth 001 (CoRR, 2024)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding. - Yue Fan; Lei Ding; Ching-Chen Kuo; Shan Jiang; Yang Zhao; Xinze Guan; Jie Yang 002; Yi Zhang 001; Xin Eric Wang (CoRR, 2024)

BEAVER: An Enterprise Benchmark for Text-to-SQL. - Peter Baile Chen; Fabian Wenz; Yi Zhang 001; Moe Kayali; Nesime Tatbul; Michael J. Cafarella; Çagatay Demiralp; Michael Stonebraker (CoRR, 2024)

Phi-4 Technical Report. - Marah I Abdin; Jyoti Aneja; Harkirat S. Behl; Sébastien Bubeck; Ronen Eldan; Suriya Gunasekar; Michael Harrison; Russell J. Hewett; Mojan Javaheripi; Piero Kauffmann; James R. Lee; Yin Tat Lee; et al. (CoRR, 2024)

Searching Data Lakes for Nested and Joined Data. - Yi Zhang 001; Peter Chen; Zack Ives (Proc. VLDB Endow., 2024)

QuoteInspector: Gaining Insight about Social Media Discussions. - Peizhi Wu; Yi Zhang 001; Wang-Chiew Tan; Zachary G. Ives (Proc. VLDB Endow., 2024)

CONFETTI: Conversational Function-Calling Evaluation Through Turn-Level Interactions. - Tamer Alkhouli; Katerina Margatina; James Gung; Raphael Shu; Claudia Zaghi; Monica Sunkara; Yi Zhang 001 (ACL (1), 2025)

Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method. - Peter Baile Chen; Yi Zhang 001; Mike Cafarella; Dan Roth 001 (ACL (1), 2025)

Open Domain Question Answering with Conflicting Contexts. - Siyi Liu; Qiang Ning; Kishaloy Halder; Zheng Qi; Wei Xiao; Phu Mon Htut; Yi Zhang 001; Neha Anna John; Bonan Min; Yassine Benajiba; Dan Roth 001 (NAACL (Findings), 2025)

Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing. - Diji Yang; Linda Zeng; Jinmeng Rao; Yi Zhang 001 (SIGIR, 2025)

Reinforcing Thinking through Reasoning-Enhanced Reward Models. - Diji Yang; Linda Zeng; Kezhen Chen; Yi Zhang 001 (CoRR, 2025)

Self-supervised Analogical Learning using Language Models. - Ben Zhou; Sarthak Jain; Yi Zhang 001; Qiang Ning; Shuai Wang; Yassine Benajiba; Dan Roth 001 (CoRR, 2025)

A Study on Leveraging Search and Self-Feedback for Agent Reasoning. - Karthikeyan K; Michelle Yuan; Elman Mansimov; Katerina Margatina; Anurag Pratik; Daniele Bonadiman; Monica Sunkara; Yi Zhang 001; Yassine Benajiba (CoRR, 2025)

Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals. - Linda Zeng; Rithwik Gupta; Divij Motwani; Diji Yang; Yi Zhang 001 (CoRR, 2025)

Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation. - Peter Baile Chen; Yi Zhang 001; Dan Roth 001; Samuel Madden 001; Jacob Andreas; Michael J. Cafarella (CoRR, 2025)

GenIR: Generative Visual Feedback for Mental Image Retrieval. - Diji Yang; Minghao Liu 009; Chung-Hsiang Lo; Yi Zhang 001; James Davis 001 (CoRR, 2025)