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Home/Authors/Zihan Zhang

Zihan Zhang

5 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

5
26

Top categories

NLP×2Audio and Speech Processing×1ML×1Crypto×1AI×1

Frequent co-authors

Yangfan Ye2×
Xiaocheng Feng2×
Jialong Tang2×
Xiayu Cao2×
Xiachong Feng2×
Baosong Yang2×

Research Timeline

2026
When Alignment Isn't Enough: Response-Path Attacks on LLM Agents

This paper introduces the Relay Tampering Attack (RTA), demonstrating that malicious third-party relays can undermine the security of LLM agents by modifying responses post-alignment, even if the LLM itself is perfectly aligned.

CultureForest: Understanding and Evaluating Cultural Norm Grounded Reasoning in LLMs

The paper introduces CultureForest, a new benchmark for evaluating Cultural Norm Grounded Reasoning in LLMs, demonstrating that models struggle to apply their cultural knowledge effectively in realistic, open-ended scenarios.

CultureForest: Understanding and Evaluating Cultural Norm Grounded Reasoning in LLMs

The paper introduces CultureForest, a new benchmark for evaluating Cultural Norm Grounded Reasoning in LLMs, demonstrating that models struggle to apply their cultural knowledge effectively in realistic, open-ended scenarios.

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment

This paper proposes X$^3$-OPD, a framework for transferring reasoning capabilities from text-based models to audio-language models using on-policy distillation.

AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks

This paper introduces AffectDF, a comprehensive benchmark for emotionally expressive speech deepfakes, revealing severe robustness degradation of state-of-the-art SDD systems.

Highlighted terms show continued research focus across papers

Papers

eess.ASEmpiricalRecentAug 6, 2026

AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks

Aurosweta Mahapatra, Xiutian Zhao, Shreeram Suresh Chandra, Zihan Zhang +6 more

This paper introduces AffectDF, a comprehensive benchmark for emotionally expressive speech deepfakes, revealing severe robustness degradation of state-of-the-art SDD systems.

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cs.LGEmpiricalRecent
Jul 23, 2026

X$^3$-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy Alignment

Dongjie Fu, Di Cao, Xize Cheng, Zihan Zhang +5 more

This paper proposes X$^3$-OPD, a framework for transferring reasoning capabilities from text-based models to audio-language models using on-policy distillation.

View →
cs.CLRecentJun 1, 2026

CultureForest: Understanding and Evaluating Cultural Norm Grounded Reasoning in LLMs

Yangfan Ye, Xiaocheng Feng, Jialong Tang, Xiayu Cao +4 more

The paper introduces CultureForest, a new benchmark for evaluating Cultural Norm Grounded Reasoning in LLMs, demonstrating that models struggle to apply their cultural knowledge effectively in realist…

View →
cs.CLRecentJun 1, 2026

CultureForest: Understanding and Evaluating Cultural Norm Grounded Reasoning in LLMs

Yangfan Ye, Xiaocheng Feng, Jialong Tang, Xiayu Cao +4 more

The paper introduces CultureForest, a new benchmark for evaluating Cultural Norm Grounded Reasoning in LLMs, demonstrating that models struggle to apply their cultural knowledge effectively in realist…

View →
cs.CRcs.AIMay 4, 2026

When Alignment Isn't Enough: Response-Path Attacks on LLM Agents

Mingyu Luo, Zihan Zhang, Zesen Liu, Yuchong Xie +6 more

This paper introduces the Relay Tampering Attack (RTA), demonstrating that malicious third-party relays can undermine the security of LLM agents by modifying responses post-alignment, even if the LLM…

View →