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#machine learning Preprint Sep 2026

onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction

We present onPanda, an interactive tool for efficiently annotating LLM alignment data and agent trajectories. onPanda adopts token-level correction as its core interaction: while reading a model response, the annotator locates the first inappropriate token and either picks a substitute from the model's candidate tokens...

Lei Yang, Meng-Yin Liu, Jia Wang et al. · 0 citations
#natural language process... Preprint Sep 2026

ROAM: Robust Organization of Atomic Memories for Agents through Semantic Relations

Long-term language-model agents rely on external memory across interactions. Atomic memories are particularly useful: their fine-grained semantic boundaries enable precise retrieval and direct comparison between observations. Yet accumulating atoms inevitably become redundant, overlapping, or conflicting. Existing meth...

Jianjie Zheng, Peng Lai, Sijie Cheng et al. · 0 citations
#natural language process... Preprint Aug 2026

GUIDE: Generative Unsupervised Chinese Query Correction via Phonetic and Visual Shared-ID Encoding

A generative unsupervised framework for CQC based on a confuse-then-clarify paradigm that encodes phonetically or visually confusable characters with shared-IDs and reconstructs the original query with an encoder--decoder architecture, which constrains correction to plausible confusion neighborhoods while learning from...

Lei Yang, Bin-Bin Huang, Jiyang Tan et al. · 0 citations

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