@sineadwilliamson.bsky.social
Pinned
📢 We’re looking for a researcher in in cogsci, neuroscience, linguistics, or related disciplines to work with us at Apple Machine Learning Research! We're hiring for a one-year interdisciplinary AIML Resident to work on understanding reasoning and decision making in LLMs. 🧵
📢 We’re looking for a researcher in in cogsci, neuroscience, linguistics, or related disciplines to work with us at Apple Machine Learning Research! We're hiring for a one-year interdisciplinary AIML Resident to work on understanding reasoning and decision making in LLMs. 🧵
November 7, 2025 at 9:19 PM
📢 We’re looking for a researcher in in cogsci, neuroscience, linguistics, or related disciplines to work with us at Apple Machine Learning Research! We're hiring for a one-year interdisciplinary AIML Resident to work on understanding reasoning and decision making in LLMs. 🧵
Reposted
We have been working with Michal Klein on pushing a module to train *flow matching* models using JAX. This is shipped as part of our new release of the OTT-JAX toolbox (github.com/ott-jax/ott)
The tutorial to do so is here: ott-jax.readthedocs.io/tutorials/ne...
The tutorial to do so is here: ott-jax.readthedocs.io/tutorials/ne...
November 5, 2025 at 2:04 PM
We have been working with Michal Klein on pushing a module to train *flow matching* models using JAX. This is shipped as part of our new release of the OTT-JAX toolbox (github.com/ott-jax/ott)
The tutorial to do so is here: ott-jax.readthedocs.io/tutorials/ne...
The tutorial to do so is here: ott-jax.readthedocs.io/tutorials/ne...
Really glad to have been a part of this super cool project... LLMs can verbalize more than just a single confidence number, and we can evaluate their ability to do so!
Many treat uncertainty = a number. At Apple, we're rethinking this: LLMs should output strings that reveal all information of their internal distributions. We find that Reasoning, SFT, CoT can't do it - yet. To get there, we introduce the SelfReflect benchmark.
arxiv.org/pdf/2505.20295
arxiv.org/pdf/2505.20295
October 2, 2025 at 7:39 PM
Really glad to have been a part of this super cool project... LLMs can verbalize more than just a single confidence number, and we can evaluate their ability to do so!
Reposted
Many treat uncertainty = a number. At Apple, we're rethinking this: LLMs should output strings that reveal all information of their internal distributions. We find that Reasoning, SFT, CoT can't do it - yet. To get there, we introduce the SelfReflect benchmark.
arxiv.org/pdf/2505.20295
arxiv.org/pdf/2505.20295
October 1, 2025 at 9:53 AM
Many treat uncertainty = a number. At Apple, we're rethinking this: LLMs should output strings that reveal all information of their internal distributions. We find that Reasoning, SFT, CoT can't do it - yet. To get there, we introduce the SelfReflect benchmark.
arxiv.org/pdf/2505.20295
arxiv.org/pdf/2505.20295
Reposted
Natural idea. Looks like a nice paper too. arxiv.org/abs/2508.21184
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
We propose a general-purpose approach for improving the ability of Large Language Models (LLMs) to intelligently and adaptively gather information from a user or other external source using the framew...
arxiv.org
September 1, 2025 at 12:17 PM
Natural idea. Looks like a nice paper too. arxiv.org/abs/2508.21184
Reposted
Now that @interspeech.bsky.social registration is open, time for some shameless promo!
Sign-up and join our Interspeech tutorial: Speech Technology Meets Early Language Acquisition: How Interdisciplinary Efforts Benefit Both Fields. 🗣️👶
www.interspeech2025.org/tutorials
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Sign-up and join our Interspeech tutorial: Speech Technology Meets Early Language Acquisition: How Interdisciplinary Efforts Benefit Both Fields. 🗣️👶
www.interspeech2025.org/tutorials
⬇️ (1/2)
https://www.interspeech2025.org/tutorials
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May 27, 2025 at 4:14 PM
Now that @interspeech.bsky.social registration is open, time for some shameless promo!
Sign-up and join our Interspeech tutorial: Speech Technology Meets Early Language Acquisition: How Interdisciplinary Efforts Benefit Both Fields. 🗣️👶
www.interspeech2025.org/tutorials
⬇️ (1/2)
Sign-up and join our Interspeech tutorial: Speech Technology Meets Early Language Acquisition: How Interdisciplinary Efforts Benefit Both Fields. 🗣️👶
www.interspeech2025.org/tutorials
⬇️ (1/2)