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cs.CL2026
Adaptive Transfer of Representational Signatures for LLM Reliability Detection
Yongtong Li, Yixuan Florence Wu, Jiawei Zhang +1
Large language models (LLMs) are reported to be susceptible to reliability issues including hallucinations and reasoning errors. Existing quality detectors can predict unreliable o…
cs.CL2026
Two Vectors Replace In-Context Demos: Structured Task Adaptation via Embeddings
Xi Ding, Naichen Shi, Jiawei Zhang
In-context learning (ICL) adapts frozen large multimodal models (LMMs) to new tasks from a few demonstrations (demos), but re-encodes them at every query, where each demo image add…
cs.CL2026
It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO
Naihao Deng, Yilun Zhu, Naichen Shi +2
Warning: This paper contains several toxic and offensive statements. Modern large language models (LLMs) are typically aligned through large-scale post-training to ensure fair and…