This page (revision-28) was last changed on 04-Oct-2025 22:53 by 程龚

This page was created on 12-Jul-2022 12:21 by 程龚

Only authorized users are allowed to rename pages.

Only authorized users are allowed to delete pages.

Page revision history

Version Date Modified Size Author Changes ... Change note
28 04-Oct-2025 22:53 27 KB 程龚 to previous
27 18-Jul-2025 21:14 26 KB 程龚 to previous | to last
26 22-Feb-2025 23:19 25 KB 程龚 to previous | to last
25 22-Feb-2025 23:16 25 KB 程龚 to previous | to last
24 22-Feb-2025 23:14 25 KB 程龚 to previous | to last
23 18-Dec-2024 14:13 24 KB 程龚 to previous | to last
22 02-Dec-2024 09:05 24 KB 程龚 to previous | to last
21 02-Dec-2024 09:04 24 KB 程龚 to previous | to last

Page References

Incoming links Outgoing links

Version management

Difference between version and

At line 3 added 9 lines
!2025
*Xiang Huang, Jiayu Shen, Shanshan Huang, Sitao Cheng, Xiaxia Wang, Yuzhong Qu: TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data. __Proc. ACL__
*Rongzhi Zhu, Xiangyu Liu, Zequn Sun, Yiwei Wang, Wei Hu: Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering. __Proc. ACL__
*Xiang Huang, Ting-En Lin, Feiteng Fang, Yuchuan Wu, Hangyu Li, Yuzhong Qu, Fei Huang, Yongbin Li: Reverse Preference Optimization for Complex Instruction Following. __Findings of ACL__
*Xiao Zhou, Qiaosheng Chen, Jiageng Chen, Gong Cheng: μDS: Multi-Objective Data Snippet Extraction for Dataset Search. __Proc. SIGIR__
*Qiaosheng Chen, Kaijia Huang, Xiao Zhou, Weiqing Luo, Yuanning Cui, Gong Cheng: Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Grap. __Proc. SIGIR__
*Xiangrong Zhu, Yuexiang Xie, Yi Liu, Yaliang Li, Wei Hu: Knowledge Graph-Guided Retrieval Augmented Generation. __Proc. NAACL__
*Xiangyu Liu, Yi Liu, Silei Chen, Wei Hu: Controllable Protein Sequence Generation with LLM Preference Optimization. __Proc. AAAI__
At line 168 added one line
*Yang Liu, Xiaoxia Jiang, Yuanning Cui, Yu Wang, Wei Hu: Missing data recovery for heterogeneous graphs with incremental multi-source data fusion. __Front. Comput. Sci.__