Tahsin Mayeesha @tahsin_mayeesha

PhD Student, Information Science (University of North Texas) | AI Engineer & Researcher | NLP · HCI · AI Policymaking · Human-Centered ML. tahsin-mayeesha.github.io Denton, Texas Joined October 2017

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Scott Jeen @enjeeneer

2 days ago

My PhD thesis--On Zero-Shot Reinforcement Learning--is now on arXiv.

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🚨 NEW PAPER 🚨 Recent work shows CoT can be unfaithful to true model reasoning. Yet everyone measures faithfulness differently and there's still no systematic comparison. Our #EMNLP2025 paper introduces CausalDiagnosticity, a meta-evaluation framework for faithfulness metrics.…

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Stefan Schubert @StefanFSchubert

2 weeks ago

If you've read our book, we'd be grateful if you'd review it on Goodreads. (And if you haven't, it's open access via OUP.) (Links in next tweet.)

Stefan Schubert @StefanFSchubert

a year ago

If you've read our book, we'd be grateful if you'd review it on Goodreads. (And if you haven't, it's open access via OUP.) (Links in next tweet.)

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Kaushik Basu @kaushikcbasu

3 days ago

One of the shortest recommendation letters ever. John Nash being recommended to Princeton.

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Atoosa Kasirzadeh @Dr_Atoosa

5 months ago

📢 Our paper "AI safety for everyone" is out at Nature Machine Intelligence @NatMachIntell . We challenge the narrative that AI safety is primarily about minimizing existential risks from AI. Why does this matter? A 🧵

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Mustafa @oprydai

5 days ago

why do chinese students consistently excel at math? > this book dives into the teaching methods, cultural attitudes, and classroom practices behind it. > a must-read for educators, parents, and anyone curious about different ways of mastering math

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Rasmus F.A. Lindman @frans__arthur

4 days ago

1. Human thought is non-linear 2. Interfaces that augment human intelligence should preserve the same structure 3. Linear chat does not Therefore, the conversations must BRANCH. QED

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Alex Zhang @a1zhang

4 days ago

All the recordings for the @GPU_MODE x @scaleml series are up as a playlist in case you missed it 😁 There's so much value in these ~8 hours of lectures, from proving quantization error bounds on a whiteboard to a deep-dive into GPU warp schedulers! Plz take advantage of it!

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Rohan Paul @rohanpaul_ai

6 days ago

This Github has a very wide collection of High-quality datasets, tools, and concepts for LLM fine-tuning. All the datasets listed here should be under permissive licensing (Apache 2.0, MIT, cc-by-4.0, etc.). Categorized into segments like Math & Logic, Code, Conversation &…

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Jeffrey Emanuel @doodlestein

6 days ago

I wanted to read Henry Kissinger’s 400 page undergraduate thesis (it has an incredible first page), but really didn’t feel like dealing with a scanned PDF that’s annoying to read on a phone without constantly zooming and panning. So I decided to convert it to a nice markdown…

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Yuen Yuen Ang @yuenyuenang

7 days ago

Happy Weekend 🎴 The poor cannot innovate with what they lack: wealth and modern capacity. Necessarily, they must repurpose what they have—practices and resources that the rich may dismiss as backward—to kickstart change. This simple principle is the way out of the…

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Muyu He @HeMuyu0327

a week ago

Our EMNLP main paper presents a fun but very challenging benchmark for LLMs: to solve over 300+ Ace Attorney detective cases that are ultra-long-context and can only be solved by long chain-of-thoughts. Here're the lessons we learned: - Brute test time scaling does not work for…

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Robert Kirk @_robertkirk

a week ago

Since I started working on safeguards, we've seen substantial progress in defending certain hosted models, but less progress in measuring & managing misuse risks from open weight models. Three directions I want explored more, drawn from our @AISecurityInst post today 🧵

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Rohan Paul @rohanpaul_ai

a week ago

🧬 Bad news for medical LLMs. This paper finds that top medical AI models often match patterns instead of truly reasoning. Small wording tweaks cut accuracy by up to 38% on validated questions. The team took 100 MedQA questions, replaced the correct choice with None of the…

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Pedro Domingos @pmddomingos

a week ago

Einstein wasted the second half of his life on a fruitless quest. In the second half of his life, von Neumann invented game theory, computer architecture, implosion nuclear weapons, cellular automata and weather prediction, among other things.

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Chao Huang @huang_chao4969

a week ago

Excited to launch "Novix"🚀, our PhD-level AI-Scientist designed for autonomous scientific discovery. Novix revolutionizes research workflows through comprehensive capabilities spanning: deep research, innovative ideation, intelligent coding, advanced data analysis, automated…

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Jessy Lin @realJessyLin

a week ago

🔍 How do we teach an LLM to 𝘮𝘢𝘴𝘵𝘦𝘳 a body of knowledge? In new work with @AIatMeta, we propose Active Reading 📙: a way for models to teach themselves new things by self-studying their training data. Results: * 𝟔𝟔% on SimpleQA w/ an 8B model by studying the wikipedia…

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Math Cafe @Riazi_Cafe_en

2 weeks ago

Introduction to Machine Learning by J. Deng and R. Fong and V. Ramaswamy Lecture notes: princeton-introml.github.io

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Rohan Paul @rohanpaul_ai

2 weeks ago

This paper shows how to make AI explain itself across the whole pipeline, start to finish. This work extends explainability to cover data choices, training decisions, checks on quality, and how results are presented. Introduces Holistic Explainable Artificial Intelligence…

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Yi Ma @YiMaTweets

2 weeks ago

Our latest book on the mathematical principles of deep learning and intelligence has been released publicly at: ma-lab-berkeley.github.io/deep-represent… It also comes with a customized Chatbot that helps readers study and a Chinese version translated mainly by AI. This is an open-source project.