#large language models
514 papers · 1 filter
AISPA: User-Centric System Prompt Auditing for Large Language Model Applications
Xiangning Lin, Shenzhe Zhu, Shu Yang +23
The paper presents AISPA, a user‑centric framework for auditing the system prompts that guide large language model behavior in commercial AI products, and reports findings from ana…
PAIChecker: Uncovering and Checking PR-Issue Misalignment in SWE-Bench-Like Benchmarks
Manyi Wang, Junjielong Xu, Pinjia He
The paper introduces PAIChecker, a multi‑agent system that automatically detects misalignments between pull requests and their linked issues in SWE‑bench‑style benchmarks, improvin…
CoGate: Confidence-Gated Co-Decoding for Secure Code Generation
Minghao Hu, Lannan Luo, Allen Roush +1
The paper introduces CoGate, a method that uses the confidence of a security expert model to gate its influence during co-decoding for generating more secure code with large langua…
AI systems and the reproduction of (standard) language ideologies in World Englishes
Kingsley Ugwuanyi
The paper investigates how large language models and related AI systems reproduce standard language ideologies that privilege Inner Circle English, marginalizing non‑dominant varie…
MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems
Mao-xun Huang, Jerry Wang, Yi-Cheng Lai +3
The paper presents MANTA, a framework that lets large language model‑driven multi‑agent systems dynamically adjust their communication topology during inference, updating roles, li…
TCA-SIR: Learning Target-Conditioned Abstractions for Scientific Inspiration Retrieval
Yuto Suzuki, Farnoush Banaei-Kashani
The paper introduces TCA-SIR, a method that learns to generate target‑conditioned abstractions of scientific papers to improve scientific inspiration retrieval, showing higher hit…