Papers with AGT

2 papers
SenDetEX: Sentence-Level AI-Generated Text Detection for Human-AI Hybrid Content via Style and Context Fusion (2025.emnlp-main)

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Challenge: Text generated by Large Language Models (LLMs) now rivals human writing, raising concerns about its misuse.
Approach: They propose a framework for sentence-level AI-generated text detection via style and context fusion.
Outcome: The proposed framework outperforms baseline models in detection accuracy while exhibiting transferability and robustness.
AGTAO: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality (2026.findings-acl)

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Challenge: Large Language Models (LLMs) unintentionally memorize sensitive data, posing privacy and security risks.
Approach: They propose a framework that reconciles unlearning efficacy and utility preservation by using a latent-space gating mechanism to simulate internal recovery attempts.
Outcome: The proposed framework achieves superior trade-off between unlearning efficacy and model utility.

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