Xianxuan Long

According to our database, Xianxuan Long authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation.

Shouren Wang, Wang Yang, Chuang Ma, Debargha Ganguly, Vikash Singh, Chaoda Song, Xinpeng Li, Xianxuan Long, Vipin Chaudhary, Xiaotian Han

CoRR, April, 2026

How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment.

Hang Li, Kaiqi Yang, Xianxuan Long, Fedor Filippov, Yucheng Chu, Yasemin Copur-Gencturk, Peng He, Cory Miller, Namsoo Shin, Joseph Krajcik, Hui Liu, Jiliang Tang

CoRR, February, 2026

JW-SVD: Bridging the Cross-Modal Mismatch in Post-Training MLLM Compression.

Runchao Li, Yao Fu, Mu Sheng, Haotian Yu, Xianxuan Long, Kenneth A. Loparo

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?

Shouren Wang, Wang Yang, Xianxuan Long, Qifan Wang, Vipin Chaudhary, Xiaotian Han

CoRR, October, 2025

Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs.

Yao Fu, Runchao Li, Xianxuan Long, Haotian Yu, Xiaotian Han, Yin Yu, Pan Li

CoRR, September, 2025

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs.

Yao Fu, Xianxuan Long, Runchao Li, Haotian Yu, Mu Sheng, Xiaotian Han, Yin Yu, Pan Li

CoRR, August, 2025

FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression.

Runchao Li, Yao Fu, Mu Sheng, Xianxuan Long, Haotian Yu, Pan Li

CoRR, July, 2025

When Truthful Representations Flip Under Deceptive Instructions?

Xianxuan Long, Yao Fu, Runchao Li, Mu Sheng, Haotian Yu, Xiaotian Han, Pan Li

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

FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression.

Runchao Li, Yao Fu, Mu Sheng, Xianxuan Long, Haotian Yu, Pan Li

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

Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs.

Yao Fu, Xianxuan Long, Runchao Li, Haotian Yu, Mu Sheng, Xiaotian Han, Yu Yin, Pan Li

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

Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs.

Yao Fu, Runchao Li, Xianxuan Long, Haotian Yu, Xiaotian Han, Yu Yin, Pan Li

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

2024

SASiamNet: Self-Adaptive Siamese Network for Change Detection of Remote Sensing Image.

Xianxuan Long, Wei Zhuang, Min Xia, Kai Hu, Haifeng Lin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models.

Yao Fu, Yin Yu, Xiaotian Han, Runchao Li, Xianxuan Long, Haotian Yu, Pan Li

CoRR, 2024