Yiqiao Jin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
7
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MM-BizRAG: Rethinking Multimodal Retrieval-Augmented Generation for General Purpose Enterprise Q&A. | Hanoz Bhathena, Parin Rajesh Jhaveri, Rohan Mittal, Prateek Singh, Aymen Kallala, Rachneet Kaur, Yiqiao Jin, Zhen Zeng, Adwait Ratnaparkhi, Denis Kochedykov |
| 2026 | ACL | Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations. | Mohit Chandra, Siddharth Sriraman, Harneet Singh Khanuja, Yiqiao Jin, Munmun De Choudhury |
| 2026 | ACL | SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding. | Yiqiao Jin, Rachneet Kaur, Zhen Zeng, Sumitra Ganesh, Srijan Kumar |
| 2026 | ACL | SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression. | Yiqiao Jin, Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar |
| 2025 | ACL | A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. | Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang |
| 2025 | EMNLP | Protein Large Language Models: A Comprehensive Survey. | Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang |
| 2025 | WWW | ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction. | Yiqiao Jin, Stefano Petrangeli, Yu Shen, Gang Wu |
| 2024 | ACL | MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms. | Yiqiao Jin, Minje Choi, Gaurav Verma, Jindong Wang, Srijan Kumar |
| 2024 | ACL | Prototypical Reward Network for Data-Efficient RLHF. | Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu |
| 2024 | CIKM | Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation. | Neng Kai Nigel Neo, Yeon-Chang Lee, Yiqiao Jin, Sang-Wook Kim, Srijan Kumar |
| 2024 | EMNLP | AgentReview: Exploring Peer Review Dynamics with LLM Agents. | Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang |
| 2024 | EMNLP | Large Language Models Can Be Contextual Privacy Protection Learners. | Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng |
| 2024 | ICML | CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents. | Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie |
| 2024 | WWW | Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. | Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar |
| 2023 | AAAI | Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. | Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie |
| 2023 | ICML | Semi-Offline Reinforcement Learning for Optimized Text Generation. | Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan |
| 2023 | KDD | Predicting Information Pathways Across Online Communities. | Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar |
| 2023 | WWW | Code Recommendation for Open Source Software Developers. | Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang |
| 2022 | AAAI | Towards Fine-Grained Reasoning for Fake News Detection. | Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie |
| 2022 | KDD | Reinforcement Subgraph Reasoning for Fake News Detection. | Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie |