REVAS is a peer review assistant I've been working on with colleagues at MBZUAI. The idea is simple: better reviews make better science. If you're reviewing for ARR this cycle, give it a try.

💡 TIL @overleaf.com is basically a git repo. In my research workflow, I directly added it as submodule to my code repo. Now I can produce figures and tables, and have them magically uploaded to Overleaf just by pushing the repo. No more renaming, keeping versions straight, and manual uploading 😇

💡 TIL, it's super easy to fetch data from Google Sheets into Pandas. Makes it really convenient to annotate some data. Previously, I was always downloading CSVs, losing track of file versions, and loading and merging them sluggishly in Python. 👉 find the code here: gist.github.com/timbmg/6c2d6...

🔍 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 𝗼𝗻 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗤𝗔, 𝗯𝘂𝘁 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮𝘀𝗲𝘁 𝗹𝗮𝗰𝗸𝘀 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗮𝘀𝗸𝗲𝗱 𝗯𝘆 𝗲𝘅𝗽𝗲𝗿𝘁𝘀? 🚀 PeerQA is the solution: a dataset with questions from peer reviews and answers from the original authors. (1/🧵) #NLProc

🚨🚨 New preprint 🚨🚨 Ever wonder whether verbalized CoTs correspond to the internal reasoning process of the model? We propose a novel parametric faithfulness approach, which erases information contained in CoT steps from the model parameters to assess CoT faithfulness. arxiv.org/abs/2502.14829

𝗙𝗮𝗰𝘁-𝗖𝗵𝗲𝗰𝗸𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗴𝗲 𝗼𝗳 𝗔𝗜 – 𝗔 𝗧𝗮𝗹𝗸 𝗯𝘆 𝗜𝗿𝘆𝗻𝗮 𝗚𝘂𝗿𝗲𝘃𝘆𝗰𝗵 @𝗔𝗜 𝗳𝗼𝗿 𝗚𝗼𝗼𝗱 Misinformation is a new weapon disrupting public debates, scientific discussions, and political decisions. How can we identify and counter misleading content? (1/🧵)

🤔 An Energy Star for AI? Introducing AI Energy Score: First-ever rating system comparing 166 AI models' energy consumption! From LLaMa to Gemma, get transparent ⭐️1-5 efficiency ratings. Incredible work led by @sashamtl.bsky.social huggingface.co/blog/sasha/a...

Excited to share that our Paper "PeerQA: A Scientific Question Answering Dataset from Peer Reviews" as been accepted to #NAACL2025 Looking forward to presenting it in Albuquerque 🏜️!

What do YOU mean by "intelligence", and does ChatGPT fit your definition? We collected the major criteria used in CogSci and other fields, and designed a survey to find out! Access link: www.survey-xact.dk/collect Code: 4S7V-SN4M-S536 Time: 5-10 mins