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Human Feedback and Eval Paper Explorer

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Total papers: 3 Search mode: keyword Shortlist (0) RSS

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Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking

Zhicheng Fang, Jingjie Zheng, Chenxu Fu, Wei Xu · Feb 27, 2026

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 83% High protocol signal Freshness: Warm Status: Ready
Red Team Llm As Judge Multi Agent CodingMultilingual
  • Jailbreak techniques for large language models (LLMs) evolve faster than benchmarks, making robustness estimates stale and difficult to compare across papers due to drift in datasets, harnesses, and judging protocols.
  • We introduce JAILBREAK FOUNDRY (JBF), a system that addresses this gap via a multi-agent workflow to translate jailbreak papers into executable modules for immediate evaluation within a unified harness.
Open paper
A Simple and Efficient Jailbreak Method Exploiting LLMs' Helpfulness

Xuan Luo, Yue Wang, Zefeng He, Geng Tu, Jing Li, Ruifeng Xu · Sep 17, 2025

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 78% High protocol signal Freshness: Cold Status: Ready
Red Team Automatic Metrics Law
  • This study reveals a critical safety blind spot in modern LLMs: learning-style queries, which closely resemble ordinary educational questions, can reliably elicit harmful responses.
  • In addition, the assessment of defenses on the constructed safe prompts reveals inherent limitations of LLMs' safety mechanisms and flaws in the defense methods.
Open paper
Inference-time Alignment in Continuous Space

Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu · May 26, 2025

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 71% Sparse protocol signal Freshness: Cold Status: Fallback
MathCoding
  • Aligning large language models with human feedback at inference time has received increasing attention due to its flexibility.
Open paper

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