Paper

A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism

Unreadunread

AI summary

arXiv:2605. 22993v1 Announce Type: new Abstract: Characteristic linguistic behaviors associated with Social Language Disorder (SLD) in autism spectrum disorder, including echoic repetition, pronoun displacement, and stereotyped media quoting, are largely absent from spontaneous conversation and only emerge under specific conversational conditions.

Reading status

Priority

About this paper

Authors: Chuanbo Hu, Minglei Yin, Bin Liu, Wenqi Li, Lynn K. Paul, Shuo Wang, Xin Li
Released: 2026-05-25 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism overlaps with clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", clean result "Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between the alignment objective and the distributional objective, and both discretizations of the soft prefix collapse (MODERATE confidence)", clean result "Training one persona to emit a [ZLT] marker without bystanders adopting it has a one-cell-wide LR x epochs window on Qwen2.5-7B-Instruct (LOW confidence)". Matching terms: rect, under, eval, line, rate, without, trained, screen. Source: arxiv cs.CL (NLP).
arXiv: 2605.22993

Ask Claude about this paper

Posts a comment with @claude so the runner spins up a Claude Code session scoped to A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism. Replies appear in the conversation below.

Comments

No comments yet.

Related records

No links yet.