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#hallucination detection

Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text

Intermediate

Zhihao Xu, Rumei Li et al.Jan 15arXiv

The paper shows a new way to teach AI assistants how to use tools in many-step conversations by mining ordinary text on the internet for step-by-step “how-to” knowledge.

#GEM pipeline#text-based trajectory generation#tool-use data synthesis

Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits

Intermediate

Amirhosein Ghasemabadi, Di NiuDec 23arXiv

Large language models often sound confident even when they are wrong, and existing ways to catch mistakes are slow or not very accurate.

#self-awareness#large language models#hidden states

FaithLens: Detecting and Explaining Faithfulness Hallucination

Intermediate

Shuzheng Si, Qingyi Wang et al.Dec 23arXiv

Large language models can say things that sound right but aren’t supported by the given document; this is called a faithfulness hallucination.

#faithfulness hallucination#hallucination detection#explainable AI

Self-Improving VLM Judges Without Human Annotations

Intermediate

Inna Wanyin Lin, Yushi Hu et al.Dec 2arXiv

The paper shows how a vision-language model (VLM) can train itself to be a fair judge of answers about images without using any human preference labels.

#vision-language model#VLM judge#reward model