Dan Roth @DanRothNLP
Chief AI Scientist, Oracle, and the Eduardo D. Glandt Distinguished Professor, CIS, University of Pennsylvania. Former VP/Distinguished Scientist, AWS AI Labs. seas.upenn.edu/~danroth/ Philadelphia, PA Joined May 2010-
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✨Yesterday we released MoNaCo, an @allen_ai benchmark of 1,315 hard human-written questions that, on average, require 43.3 documents per question!✨ The three aforementioned questions were actually some of the easier ones in MoNaCo 😉 (8/) x.com/allen_ai/statu…
✨Yesterday we released MoNaCo, an @allen_ai benchmark of 1,315 hard human-written questions that, on average, require 43.3 documents per question!✨ The three aforementioned questions were actually some of the easier ones in MoNaCo 😉 (8/) x.com/allen_ai/statu…
MoNaCo evaluates complex question-answering with: 📚 1,315 multi‑step queries 🔎 Retrieval, filtering & aggregation across text and tables 🌟 Avg 43.3 distinct documents per query
LLMs power research, decision‑making, and exploration—but most benchmarks don’t test how well they stitch together evidence across dozens (or hundreds) of sources. Meet MoNaCo, our new eval for question-answering cross‑source reasoning. 👇
Augmenting GPT-4o with Visual Sketchpad ✏️ We introduce Sketchpad agent, a framework that equips multimodal LLMs with a visual canvas and drawing tools 🎨 . Improving GPT-4o's performance in vision and math tasks 📈 🔗: visualsketchpad.github.io
Augmenting GPT-4o with Visual Sketchpad ✏️ We introduce Sketchpad agent, a framework that equips multimodal LLMs with a visual canvas and drawing tools 🎨 . Improving GPT-4o's performance in vision and math tasks 📈 🔗: visualsketchpad.github.io https://t.co/iYRh4BzMgJ
😺 This work is done with my amazing collaborators: @yujielu_10, muyu he, @WilliamWangNLP @DanRothNLP YOU ARE THE BEST!!! 😎🔥 (n/n)
🔥Error Examples from DALL-E 3 👀More Visualizations: zeyofu.github.io/CommonsenseT2I… (3/n)
🔥Highlights of the Commonsense-T2I benchmark: 📚Pairwise text prompts with minimum token change ⚙️Rigorous automatic evaluation with descriptions for expected outputs ❗️Even DALL-E 3 only achieves below 50% accuracy (2/n)
Can Text-to-Image models understand common sense? 🤔 Can they generate images that fit everyday common sense? 🤔 tldr; NO, they are far less intelligent than us 💁🏻♀️ Introducing Commonsense-T2I 💡 zeyofu.github.io/CommonsenseT2I/, a novel evaluation and benchmark designed to measure…
Best-fit Packing completely eliminates unnecessary truncations while retaining the same training efficiency as concatenation with <0.01% overhead tested on popular pre-training datasets like @TIIuae's RefinedWeb and @BigCodeProject's Stack.🧵5/n
The common practice in LLM pre-training is to concat all docs then split into equal-length chunks. This is efficient but hurts data integrity: doc fragmentation leads to loss of info, and causes next-token prediction to be ungrounded, making model prone to hallucination.🧵2/n
🚀Introducing "Fewer Truncations Improve Language Modeling" at #ICML2024 We tackle a fundamental issue in LLM pre-training: docs are often broken into pieces. Such truncation hinders model from learning to compose logically coherent and factually grounded content. 👇🧵1/n
Can GPT-4V and Gemini-Pro perceive the world the way humans do? 🤔 Can they solve the vision tasks that humans can in the blink of an eye? 😉 tldr; NO, they are far worse than us 💁🏻♀️ Introducing BLINK👁 zeyofu.github.io/blink/, a novel benchmark that studies visual perception…
Can GPT-4V and Gemini-Pro perceive the world the way humans do? 🤔 Can they solve the vision tasks that humans can in the blink of an eye? 😉 tldr; NO, they are far worse than us 💁🏻♀️ Introducing BLINK👁 zeyofu.github.io/blink/, a novel benchmark that studies visual perception… https://t.co/swelqZoue5
Super excited to announce that our "3rd Workshop on NLP for Medical Conversations" will be co-located with IJCNLP-AACL 2023!! Website and CFP: nlpmc-2023.github.io @aaclmeeting #AACL2023 #NLProc #NLP #AI #DigitalHealth #HealthTech #Healthcare
We are thrilled to announce our second workshop on natural language interfaces, held in conjunction with the prestigious IJCNL-AACL conference! In collaboration with researchers from AWS AI Labs, Google Research, Meta AI Research, and Microsoft Research, this workshop aims to
I’ve been working with @awscloud’s #Bedrock service for a couple of months now at @caylentinc, and I’d like to share some of what I’ve learned. 🧵
aws.amazon.com/codewhisperer/ is really neat. Helps you code faster, checks for security vulns, discloses licenses of code it drew from, and works great for AWS APIs. Boom! @awscloud putting ML to work for developers
Excited to announce a new product from AWS AI: Amazon CodeWhisperer aws.amazon.com/blogs/aws/now-…

(((ل()(ل() 'yoav)))... @yoavgo
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Djamé.. @zehavoc
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US Open Tennis 2025 L... @_USOpenTennis
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NAACL @naacl
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Daniel Khashabi 🕊�... @DanielKhashabi
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Cognitive Computation... @cogcomp
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149K Followers 771 Following Aussie living abroad and working in tennis. ESPN tennis analyst. AFL & NFL tragic supporting Port Adelaide & Raider Nation.
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26K Followers 333 Following https://t.co/jIZyWtJ8gS Human-centered AI, NLP & ML. Director @trails_ai. Prof @umdCS, member of @CLIPumd @HCIL_umd, former @MSFTresearch. Fun: 🧗🧑🍳🧘⛷️🏕️.
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464K Followers 1K Following used to play tennis,now talk about it. Personal insults or telling me to stick to tennis=BLOCK voting blue despite the Dems stance on women’s sex based spaces