DeBoris
@phrozen10.bsky.social
Husband, Father, Son and Ice Cold🥶Brother of Alpha Phi Alpha Fraternity, Inc. ΑΦΑ
PhD Student @morganstateu.bsky.social and Ethical AI Enthusiast.
PhD Student @morganstateu.bsky.social and Ethical AI Enthusiast.
Reposted by DeBoris
"For non-native English speakers, AI-powered Automatic Speech Recognition...technologies represent a needed scalable solution that can improve English language access and proficiency. Unfortunately, current ASR systems fall short for non-English learners." #edtech #ILoveEdTech #ImFutureReady #AIEdu
Designing AI to Understand Every Student: Voice Datasets for More Effective Speech Recognition
Better voice datasets can lead to more effective speech recognition that improves learning for students who don’t speak English.
the-learning-agency.com
December 23, 2025 at 3:56 PM
"For non-native English speakers, AI-powered Automatic Speech Recognition...technologies represent a needed scalable solution that can improve English language access and proficiency. Unfortunately, current ASR systems fall short for non-English learners." #edtech #ILoveEdTech #ImFutureReady #AIEdu
Reposted by DeBoris
Meta returns to open source AI with Omnilingual ASR models that can transcribe 1,600+ languages natively
Meta recently released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages – dwarfing OpenAI's open source Whisper model, which supports just 99. Does the…
Meta recently released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages – dwarfing OpenAI's open source Whisper model, which supports just 99. Does the…
Meta returns to open source AI with Omnilingual ASR models that can transcribe 1,600+ languages natively
Meta recently released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages – dwarfing OpenAI's open source Whisper model, which supports just 99. Does the architecture also allow developers to scale that support to thousands of people? Through a feature called zero-shot in-context learning, users can provide a few paired examples of audio and text in a new language at inference time, enabling the model to write additional utterances in that language without any retraining. In practice, this expands the potential coverage to more than 5,400 languages – almost every spoken language with a known script.
cnznews.com
November 12, 2025 at 8:01 PM
Meta returns to open source AI with Omnilingual ASR models that can transcribe 1,600+ languages natively
Meta recently released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages – dwarfing OpenAI's open source Whisper model, which supports just 99. Does the…
Meta recently released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages – dwarfing OpenAI's open source Whisper model, which supports just 99. Does the…
Reposted by DeBoris
Congratulations to Iuliia Thorbecke (Nigmatulina), who just passed the viva of her PhD on using contextual information to improve automatic speech recognition, for example using radar flight information to better transcribe air traffic communication.
November 25, 2025 at 8:41 AM
Congratulations to Iuliia Thorbecke (Nigmatulina), who just passed the viva of her PhD on using contextual information to improve automatic speech recognition, for example using radar flight information to better transcribe air traffic communication.
Reposted by DeBoris
Want to know what training data has been memorized by models like GPT-4?
We propose information-guided probes, a method to uncover memorization evidence in *completely black-box* models,
without requiring access to
🙅♀️ Model weights
🙅♀️ Training data
🙅♀️ Token probabilities 🧵 (1/5)
We propose information-guided probes, a method to uncover memorization evidence in *completely black-box* models,
without requiring access to
🙅♀️ Model weights
🙅♀️ Training data
🙅♀️ Token probabilities 🧵 (1/5)
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
High-quality training data has proven crucial for developing performant large language models (LLMs). However, commercial LLM providers disclose few, if any, details about the data used for training. ...
arxiv.org
March 21, 2025 at 7:08 PM
Want to know what training data has been memorized by models like GPT-4?
We propose information-guided probes, a method to uncover memorization evidence in *completely black-box* models,
without requiring access to
🙅♀️ Model weights
🙅♀️ Training data
🙅♀️ Token probabilities 🧵 (1/5)
We propose information-guided probes, a method to uncover memorization evidence in *completely black-box* models,
without requiring access to
🙅♀️ Model weights
🙅♀️ Training data
🙅♀️ Token probabilities 🧵 (1/5)
Reposted by DeBoris
My friends are organizing a new workshop bringing together NLP and CSS research with psychology: First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) at ICWSM 2025 nlpsi-workshop.github.io Consider submitting a paper (long/short) or an extended abstract :)
February 24, 2025 at 10:20 AM
My friends are organizing a new workshop bringing together NLP and CSS research with psychology: First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) at ICWSM 2025 nlpsi-workshop.github.io Consider submitting a paper (long/short) or an extended abstract :)
Reposted by DeBoris
Imagine if @aoc @sanders.senate.gov , every dem, SIMULTANEOUSLY held Town Halls where they allowed grant and contract recipients to explain to the country what it is they do and why it's important
Invite all media. Including RW podcasters. @spaces Flood the zone
Call it a Day Of Transparency
Invite all media. Including RW podcasters. @spaces Flood the zone
Call it a Day Of Transparency
February 11, 2025 at 6:51 PM
Imagine if @aoc @sanders.senate.gov , every dem, SIMULTANEOUSLY held Town Halls where they allowed grant and contract recipients to explain to the country what it is they do and why it's important
Invite all media. Including RW podcasters. @spaces Flood the zone
Call it a Day Of Transparency
Invite all media. Including RW podcasters. @spaces Flood the zone
Call it a Day Of Transparency
Reposted by DeBoris
“I, too” by Langston Hughes
February 10, 2025 at 5:01 PM
“I, too” by Langston Hughes
Reposted by DeBoris
These seem like some very common (statistical) sense recommendations for eval. Still the title of the paper is somewhat confusing as if these ideas are new. I would’ve suggested “Bringing a statistical approach…”
www.anthropic.com/research/sta...
www.anthropic.com/research/sta...
A statistical approach to model evaluations
A research paper from Anthropic on how to apply statistics to improve language model evaluations
www.anthropic.com
November 22, 2024 at 10:39 AM
These seem like some very common (statistical) sense recommendations for eval. Still the title of the paper is somewhat confusing as if these ideas are new. I would’ve suggested “Bringing a statistical approach…”
www.anthropic.com/research/sta...
www.anthropic.com/research/sta...
news.uchicago.edu/story/ai-bia...
What can we do to make improve NLU and mitigate bias in LLMs towards certain dialects?
#AI #NLP #EthicalAI
What can we do to make improve NLU and mitigate bias in LLMs towards certain dialects?
#AI #NLP #EthicalAI
AI is biased against speakers of African American English, study finds
Large language models attributed negative attributes, less prestigious jobs and more convictions to speakers
news.uchicago.edu
November 18, 2024 at 1:29 PM
news.uchicago.edu/story/ai-bia...
What can we do to make improve NLU and mitigate bias in LLMs towards certain dialects?
#AI #NLP #EthicalAI
What can we do to make improve NLU and mitigate bias in LLMs towards certain dialects?
#AI #NLP #EthicalAI
This app feels like 2009. I hope it stays that way
November 18, 2024 at 1:22 PM
This app feels like 2009. I hope it stays that way