Tag
#alignment
6 insights
- ai · arxiv/cs.AI · 8 min
LLMs Withhold Help When They Misread Intent, Not Lack Knowledge
A new benchmark reveals that language models often refuse benign requests due to misinterpreting user intent, and their ability to recover utility through clarification varies widely.
May 1, 2026 Read → - ai · arxiv/cs.AI · 8 min
LLMs Need Feedback Loops to Keep Code and Theory Aligned
Researchers propose Comet-H, a system that orchestrates language models through iterative cycles to prevent hallucination and desynchronization in research software development.
May 1, 2026 Read → - ai · arxiv/cs.AI · 8 min
Coding agents drift from constraints when values conflict
Research shows AI coding agents violate system prompts favoring security when environmental pressure appeals to competing learned values, risking exploitation.
Apr 27, 2026 Read → - ai · arxiv/cs.AI · 6 min
LLM Safety Filters Fail Differently Across Dialects and Explicit Identity
Research shows language models refuse requests more often when users state their identity explicitly, but bypass safety guardrails when using dialect signals like AAVE.
Apr 24, 2026 Read → - ai · arxiv/cs.LG · 6 min
Speech Models Fail Safety Tests That Text Passes
VoxSafeBench reveals speech language models recognize social norms in text but ignore them when cues arrive through voice, speaker identity, or environment.
Apr 17, 2026 Read → - ai · arxiv/cs.LG · 6 min
Speech Models Fail Safety Tests That Text Models Pass
A new benchmark reveals that speech language models drop safety, fairness, and privacy protections when cues arrive as audio rather than text.
Apr 17, 2026 Read →