Megan Wei

23 posts

Megan Wei

Megan Wei

@MeganJWei

🎶 AI & Creativity 🎶 PhD @Brown_NLP | @MIT ‘22, @MITCoCoSci MEng ‘23 | Research @AdobeResearch (Speech AI)

Katılım Nisan 2020
86 Takip Edilen128 Takipçiler
Sabitlenmiş Tweet
Megan Wei
Megan Wei@MeganJWei·
🎶 We can often tell if a song is fast or slow or if a note is high or low. Music generation models are trained on vast amounts of data, but do they pick up music theory concepts like we do? 🎶 Our #ISMIR2024 paper explores this question! arxiv.org/abs/2410.00872 @ISMIRConf
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Saelyne Yang
Saelyne Yang@saelyne_yang·
Excited to share that I’ve officially graduated with my Ph.D. and joined CMU as a Postdoctoral Fellow! I’m forever grateful to @imjuhokim for the unwavering support, and I'm thrilled to start this next chapter working with Jeff Bigham. Hit me up if you’re around Pittsburgh!
Saelyne Yang tweet mediaSaelyne Yang tweet media
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Megan Wei
Megan Wei@MeganJWei·
Excited to attend my first NeurIPS! Feel free to reach out if you want to chat about audio/speech/music generation, multimodal LLMs, and interpretability! Also, happy to give hiking/beach recs for San Diego and other parts of SoCal ☀️
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Megan Wei retweetledi
xuan (ɕɥɛn / sh-yen)
xuan (ɕɥɛn / sh-yen)@xuanalogue·
How do people flexibly integrate visual & textual information to draw mental inferences about agents we've never met? In a new paper led by @LanceYing42, we introduce a cognitive model that achieves this by synthesizing rational agent models on-the-fly--presented at EMNLP 2025!
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SeungHeon Doh
SeungHeon Doh@SeungHeon_Doh·
I have completed Ph.D. journey! The title of my doctoral dissertation is "Connecting Audio and Natural Language for Music Annotation and Retrieval." I would like to express my deepest gratitude to my advisor, Professor @juhan_nam , and (unofficial co-advisor), Dr. @keunwoochoi
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Megan Wei
Megan Wei@MeganJWei·
Guess what? Music generation models DO encode music theory concepts! The extent to which they do varies by model size and layer. This invites future research directions on controllable music generation by modifying the internal representations!
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Megan Wei
Megan Wei@MeganJWei·
🎶 We can often tell if a song is fast or slow or if a note is high or low. Music generation models are trained on vast amounts of data, but do they pick up music theory concepts like we do? 🎶 Our #ISMIR2024 paper explores this question! arxiv.org/abs/2410.00872 @ISMIRConf
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Megan Wei retweetledi
MITxHarvard Women in AI
MITxHarvard Women in AI@mitxharvard_wai·
And a HUGE personal thank you to @kaliouby for donating 300 free copies of #girldecoded to our organization! We can’t wait to read it! [Correction from above tweet: Rana’s interviewer was WAI co-president Megan Wei @memeganmeme]
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