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20212026
most citedExploring the Limits of ChatGPT for Query or Aspect-based Text Summarization

89 citations · 243 across the 36 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.LG2025

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models

Hoang Phan, Xianjun Yang, Yuanshun Yao +6

Reinforcement learning with verifiable rewards (RLVR) has delivered impressive gains in mathematical and multimodal reasoning and has become a standard post-training paradigm for c…

cs.CL2025

Verifying Chain-of-Thought Reasoning via Its Computational Graph

Zheng Zhao, Yeskendir Koishekenov, Xianjun Yang +2

Current Chain-of-Thought (CoT) verification methods predict reasoning correctness based on outputs (black-box) or activations (gray-box), but offer limited insight into why a compu…

cs.CL2025

Your thoughts tell who you are: Characterize the reasoning patterns of LRMs

Yida Chen, Yuning Mao, Xianjun Yang +7

Current comparisons of large reasoning models (LRMs) focus on macro-level statistics such as task accuracy or reasoning length. Whether different LRMs reason differently remains an…

cs.CL2025

Many-Turn Jailbreaking

Xianjun Yang, Liqiang Xiao, Shiyang Li +5

Current jailbreaking work on large language models (LLMs) aims to elicit unsafe outputs from given prompts. However, it only focuses on single-turn jailbreaking targeting one speci…

cs.CY2025★ 4 cited

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons

Shaona Ghosh, Heather Frase, Adina Williams +99

The rapid advancement and deployment of AI systems have created an urgent need for standard safety-evaluation frameworks. This paper introduces AILuminate v1.0, the first comprehen…

cs.CL2025

Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder

Xianjun Yang, Shaoliang Nie, Lijuan Liu +5

Instruction tuning data are often quantity-saturated due to the large volume of data collection and fast model iteration, leaving data selection important but underexplored. Existi…

cs.CR2025

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents

Kaijie Zhu, Xianjun Yang, Jindong Wang +2

Recent research has explored that LLM agents are vulnerable to indirect prompt injection (IPI) attacks, where malicious tasks embedded in tool-retrieved information can redirect th…