Congchi Yin

According to our database, Congchi Yin authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Investigating Advanced Reasoning of Large Language Models via Black-Box Interaction.

Congchi Yin, Tianyi Wu, Yankai Shu, Alex Gu, Yunhan Wang, Jun Shao, Xun Jiang, Piji Li

CoRR, August, 2025

Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding.

Congchi Yin, Qian Yu, Zhiwei Fang, Changping Peng, Piji Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging.

Runze Xia, Shuo Feng, Renzhi Wang, Congchi Yin, Xuyun Wen, Piji Li

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Brain Encoding Oriented Text Semantic Disentangling and Analysis.

Yongpeng Zhang, Congchi Yin, Runze Xia, Piji Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Improve Language Model and Brain Alignment via Associative Memory.

Congchi Yin, Yongpeng Zhang, Xuyun Wen, Piji Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents.

Congchi Yin, Feng Li, Shu Zhang, Zike Wang, Jun Shao, Piji Li, Jianhua Chen, Xun Jiang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Language Reconstruction with Brain Predictive Coding from fMRI Data.

Congchi Yin, Ziyi Ye, Piji Li

CoRR, 2024

Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information.

Runze Xia, Congchi Yin, Piji Li

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Data Contamination Issues in Brain-to-Text Decoding.

Congchi Yin, Qian Yu, Zhiwei Fang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao, Piji Li

CoRR, 2023

CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation.

Congchi Yin, Piji Li, Zhaochun Ren

Proceedings of the ACM Web Conference 2023, 2023