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by @danabra.mov
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by @danabra.mov
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by @jimpick.com
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by @atsui.org
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1k+ downloads each on the MINT empathy models since release πŸ”₯ Encouraging to see the interest in our work! tl;dr: In multi-turn empathic dialogue, LLMs reuse the same discourse moves far more often than humans do; MINT uses RL to diversify them. Give it a try!πŸ‘‡ huggingface.co/hongli-zhan/...
1mo
Hongli Zhan
New paper! 🏁 Last one from my PhD at UT Austin. LLMs sound empathic but repeat the same discourse moves turn after turn β€” at 2x the rate of humans. We built MINT🌿, the first RL framework for discourse move diversity in empathic dialogue. +25% empathy, βˆ’26% repetition. πŸ“„ arxiv.org/abs/2604.11742
1mo
Hongli Zhan