Xiangzheng Zhang

Orcid: 0009-0008-7700-5746

According to our database1, Xiangzheng Zhang authored at least 15 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Efficient Switchable Safety Control in LLMs via Magic-Token-Guided Co-Training.
CoRR, August, 2025

Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following.
CoRR, August, 2025

PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking.
CoRR, July, 2025

Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design.
CoRR, June, 2025

360-LLaMA-Factory: Plug & Play Sequence Parallelism for Long Post-Training.
CoRR, May, 2025

Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond.
CoRR, March, 2025

Utilizing Jailbreak Probability to Attack and Safeguard Multimodal LLMs.
CoRR, March, 2025

TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation.
CoRR, March, 2025

Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision.
CoRR, February, 2025

Stress Testing Generalization: How Minor Modifications Undermine Large Language Model Performance.
CoRR, February, 2025

Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models.
CoRR, February, 2025

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Expand VSR Benchmark for VLLM to Expertize in Spatial Rules.
CoRR, 2024

TransGCN: a semi-supervised graph convolution network-based framework to infer protein translocations in spatio-temporal proteomics.
Briefings Bioinform., 2024

2023
CCMB: A Large-scale Chinese Cross-modal Benchmark.
Proceedings of the 31st ACM International Conference on Multimedia, 2023


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