Morris Alper

We collected matched responses from a range of frontier, near-frontier, and pre-frontier models in chat, agentic coding, and essay-writing settings, ranging from Llama-base to Claude Fable 5 and GPT-5.6 Sol.

(1/7)📢 New paper! Speech AI is getting better at hearing and speaking many languages. But what if the input mixes two languages, or is in one the model never learned? It guesses one language it knows and imposes that language's sounds on everything. We find why, and fix it 🧵

My inbox is being flooded with fully AI-generated emails from prospective students. I tried to work out why I can't bring myself to read them, and ended up with some thoughts and advice for writing cold emails in the age of AI. My new post: blekhman.substack.com/p/why-…

Heading to Sydney for Interspeech 2026 to present our work Phonikud on Hebrew G2P and TTS! 🇦🇺 If you are attending, come say hi! I will present on Tuesday - Area 7, Poster 4, paper 604.

Our Hebrew G2P, Phonikud, was accepted to Interspeech! 🎉 In Hebrew, בירה can be "beer" ('bira) or "capital" (bi'ra). Same vowel marks, different stress. Even fully vocalized Hebrew underspecifies pronunciation. 🧵

Accepted to #EMNLP2026 main! 🎉 Interlinear glossed text (IGT) is standard for documenting endangered languages, but it is laborious to produce by hand. CWoMP uses contrastively learned morpheme representations for interpretable, efficient, retrieval-based glossing! 🧵👇

This is precisely right. As a track chair at Neurips, I am seeing cases where the papers were written by LLMs, reports likewise, rebuttals too, even in some cases Area Chairs joining the flood. It becomes a potemkin village where nobody is actually accountable for anything that they are saying, and neither individual understanding nor our collective epistemic projects make *any* progress at all.