group conversation 1in-person interaction 1multimodal dataset 1social interaction 1videoconferencing 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.HC2026
VIP-MINGLE: A Corpus for Videoconference and In-Person Multimodal Interaction in Group Language Engagement
Andrew Chang, Abhinay K Bodi, Wenxin Deng +6
The paper presents VIP-MINGLE, a multimodal dataset of group conversations recorded both in videoconference and in-person settings, including audio, video, facial expressions, tran…
cs.CL2026
Exploring Embedding Priors in Prompt-Tuning for Improved Interpretability and Control
Sergey Sedov, Sumanth Bharadwaj Hachalli Karanam, Venu Gopal Kadamba
Prompt-Tuning is an efficient method for adapting pre-trained language models to new tasks with minimal computational overhead by modifying prompt embeddings. In this work, we inve…
cs.CL2026
GPUTOK: GPU Accelerated Byte Level BPE Tokenization
Venu Gopal Kadamba, Kanishkha Jaisankar
As large language models move toward million-token context windows, CPU tokenizers become a major slowdown because they process text one step at a time while powerful GPUs sit unus…