The ConvFill Repository provides training and inference code for the Conversational Infill task proposed and implemented in Thinking While Speaking: Inference-Time Knowledge Transfer for Responsive and Intelligent Conversational Voice Agents.
How fast vysri/conversational-infill is gaining stars, and where it lands on Trendshift and GitHub Trending
Activity and trending
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Oct 26 – Oct 27, 2026
Stars +4in 2 days
0123
3
Forks +0in 2 days
01
Merged PRs 0in 2 days
01
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Oct 26Oct 27
The left and right arrow keys step from day to day; Home and End go to the first and the last
Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day
Stars gained
Forks gained
Merged PRs
Mon, Oct 26, 2026
+3
+0
0
Tue, Oct 27, 2026
+1
+0
0
Total
+4
+0
0
1#1 on the list
7Rank that day
Not trending
Social mentions
Recent discussions about this repository across the web
1 post
The Talker is fast too: millisecond time-to-first-response, up to 19x quicker than the Reasoner while also hiding RAG and tool call latency. In our live study (n=18, Apple M2), users rated it on par…
open-source multimodal large language model that can hear, talk while thinking. Featuring real-time end-to-end speech input and streaming audio output conversational capabilities.
