#hidden state analysis try — diffusion models for protein design efficient attention beyond transformers papers like retrieval-augmented generation
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4 papers match
cs.AI 2026 ☆
Hidden APIs in Language Models: Discovering Reusable Causal Interfaces from Forked Futures SiYuan Ma, Yiqin Luo, Zhangji +8
The paper introduces a technique called forked futures that samples future operations after a prefix state to compare hidden states of language models, enabling the discovery of re…
#language models #causal inference #hidden state analysis #model interpretability
cs.CL 2026 ☆
Same Evidence, Different Target: Decoding How Diagnostic Evidence Bears on Causal Questions from Language-Model States Weiyi Kong, Zhuoran Li
The paper investigates whether transformer language models encode information about how a piece of diagnostic evidence supports, challenges, or is unrelated to a causal claim, usin…
#causal inference #language model probing #prompt engineering #hidden state analysis
cs.LG 2026 ☆
Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation Carlo Di Cicco
The paper shows that the hidden state of a large language model right before it starts generating code contains a linear signal that predicts whether the produced code will be corr…
#code generation #large language models #hidden state analysis #linear probing
cs.CR 2026 ☆
PVDetector: Detecting Prompt Injection Attacks on Purpose-Specific LLM Agents through Policy-Violation Concept Analysis Junhui Wang, Hangtao Zhang, Zhirun Zheng +5
The paper introduces PVDetector, a training‑free method that detects prompt injection attacks on purpose‑specific LLM agents by measuring alignment of hidden states with policy‑vio…
#prompt injection #large language models #policy violation detection #agent security
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