arXiv Artificial IntelligenceHuman-LLM Collaborative Inductive Coding for Conceptualizing K-12 Educator AI Use
arXiv:2607.28889v1 Announce Type: cross Abstract: Qualitative researchers increasingly encounter interaction…
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arXiv Artificial IntelligencearXiv:2607.28889v1 Announce Type: cross Abstract: Qualitative researchers increasingly encounter interaction…
arXiv Artificial IntelligencearXiv:2607.28890v1 Announce Type: cross Abstract: Evaluations of LLM-assisted qualitative coding almost…
arXiv Artificial IntelligencearXiv:2607.28896v1 Announce Type: cross Abstract: Unified audio models capable of audio understanding, audio…
arXiv Artificial IntelligencearXiv:2607.28904v1 Announce Type: cross Abstract: This paper presents a speculative Human-Computer…
arXiv Artificial IntelligencearXiv:2607.28916v1 Announce Type: cross Abstract: Multistep credit assignment is critical for…
arXiv Artificial IntelligencearXiv:2607.28934v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly involved in…
arXiv Artificial IntelligencearXiv:2607.28936v1 Announce Type: cross Abstract: Facial biometric identification relies on the…
arXiv Artificial IntelligencearXiv:2607.28955v1 Announce Type: cross Abstract: AI-generated videos are becoming increasingly realistic and…
arXiv Artificial IntelligencearXiv:2607.28959v1 Announce Type: cross Abstract: Adversarial training is one of the most effective defenses…
arXiv Artificial IntelligencearXiv:2607.28968v1 Announce Type: cross Abstract: Renault, Bergeaud, and Bosquet (hereafter RBB) argue that…
arXiv Artificial IntelligencearXiv:2607.28974v1 Announce Type: cross Abstract: The rapid advancement of image generation models has made…
arXiv Artificial IntelligencearXiv:2607.28982v1 Announce Type: cross Abstract: Recent language models achieve strong performance across a…