Jinxin Liu

According to our database, Jinxin Liu authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MM-THEBench: Do Reasoning MLLMs Think Reasonably?

Zhidian Huang, Zijun Yao, Ji Qi, Shangqing Tu, Junxian Ma, Jinxin Liu, Weichuan Liu, Xiaoyin Che, Lei Hou, Juanzi Li

CoRR, January, 2026

2025

WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection.

Guanzhong He, Zhen Yang, Jinxin Liu, Bin Xu, Lei Hou, Juanzi Li

CoRR, October, 2025

How does Transformer Learn Implicit Reasoning?

Jiaran Ye, Zijun Yao, Zhidian Huang, Liangming Pan, Jinxin Liu, Yushi Bai, Amy Xin, Weichuan Liu, Xiaoyin Che, Lei Hou, Juanzi Li

CoRR, May, 2025

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation.

Zhicheng Lee, Shulin Cao, Jinxin Liu, Jiajie Zhang, Weichuan Liu, Xiaoyin Che, Lei Hou, Juanzi Li

CoRR, March, 2025

Dynamic multi teacher knowledge distillation for semantic parsing in KBQA.

Ao Zou, Jun Zou, Shulin Cao, Jiajie Zhang, Jinxin Liu, Jing Wan, Lei Hou

Expert Syst. Appl., 2025

AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning.

Amy Xin, Jinxin Liu, Zijun Yao, Zhicheng Lee, Shulin Cao, Lei Hou, Juanzi Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Probing Structured Semantics Understanding and Generation of Language Models via Question Answering.

Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lei Hou, Juanzi Li

CoRR, 2024

KoLA: Carefully Benchmarking World Knowledge of Large Language Models.

Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DiaKoP: Dialogue-based Knowledge-oriented Programming for Neural-symbolic Knowledge Base Question Answering.

Zhicheng Lee, Zhidian Huang, Zijun Yao, Jinxin Liu, Amy Xin, Lei Hou, Juanzi Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering.

Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lunyiu Nie, Linmei Hu, Lei Hou, Juanzi Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.

Ji Qi, Chuchun Zhang, Xiaozhi Wang, Kaisheng Zeng, Jifan Yu, Jinxin Liu, Jiuding Sun, Yuxiang Chen, Lei How, Juanzi Li, Bin Xu

CoRR, 2023

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction.

Ji Qi, Chuchun Zhang, Xiaozhi Wang, Kaisheng Zeng, Jifan Yu, Jinxin Liu, Lei Hou, Juanzi Li, Xu Bin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction.

Ji Qi, Bin Xu, Kaisheng Zeng, Jinxin Liu, Jifan Yu, Qi Gao, Juanzi Li, Lei Hou

CoRR, 2022

ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms.

Jinxin Liu, Jiaxin Shi, Ji Qi, Lei Hou, Juanzi Li, Qi Tian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022