Semantic Scholar @SemanticScholar
A free, AI-driven research tool for scientific literature with more than 200 million papers across all fields of study. Proudly built by @allen_ai. semanticscholar.org Seattle, WA Joined February 2019-
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📢 API users: Level up by subscribing to our monthly API newsletter! Stay up-to-date on features, service updates, and fun partner spotlights delivered straight to your inbox: share.hsforms.com/1jGDZqZaLSGGi1…
Created by researchers for researchers, @afforai helps you sort through papers via efficient document comparison, summarization with citations, and a file viewer that pinpoints sourced information. 🚀Try Afforai, built with Semantic Scholar API: semanticscholar.org/api-gallery/af…
Our teammates consistently cite "the people" as their favorite part of AI2. We're currently looking to hire a superstar to help build out our team and culture! If you want to work with the best people solving the biggest problems, come join the fun! 🪩 boards.greenhouse.io/thealleninstit…
Announcing our latest addition to the OLMo family, OLMo 1.7!🎉Our team's efforts to improve data quality, training procedures and model architecture have led to a leap in performance. See how OLMo 1.7 stacks up against its peers and peek into the technical details on the blog:…
Looking for an AI search engine to help with academic tasks? @epsilon_ai_, built with Semantic Scholar API, helps you generate literature reviews, ask research questions, and extract insights from academic articles. Learn more: semanticscholar.org/api-gallery/ep…
📑 #PaperSpotlight This paper introduces a neural baseline method designed for Entity linking (EL) on scientific tables containing many out-of-knowledge-base mentions, significantly outperforming a state-of-the-art generic table EL method. semanticscholar.org/paper/S2abEL%3…
💡Interested in a specific field? Explore topics from the Topics section on paper pages, with definitions and a list of key papers often cited for the topic. This beta feature helps you discover and understand new ideas in Computer Science. Try it: semanticscholar.org/product#topics
How do you organize all the papers you're reading? 📚 Paperlib offers highly accurate paper metadata matching and convenient paper management, enabling seamless citation integration from your library, built with Semantic Scholar API: semanticscholar.org/api-gallery/pa…
📑 #PaperSpotlight What is the effect of releasing a preprint of a paper before it is submitted for peer review? This paper digs into data from ICLR and finds that early arXiving may have a small effect on a paper's chances of acceptance. Learn more: semanticscholar.org/paper/Estimati…
If you’ve been experiencing search API outages on Semantic Scholar, we apologize for the inconvenience. We’re actively recovering from traffic issues by decreasing rate limits until we have long-term solutions. Check our Slack for detailed updates: join.slack.com/t/semanticscho…
Make science accessible to everyone - that's a shared mission between @readwonders and Semantic Scholar. Created by ReadWonders, Wonders is an AI search engine that helps you learn and answer questions directly from credible scientific sources. Learn more: semanticscholar.org/api-gallery/wo…
Introducing RewardBench: the first benchmark & leaderboard for the reward models used in the RLHF process of LLMs. With RewardBench, we can learn about the RLHF process, which values are learned, and improve the scientific understanding of alignment. blog.allenai.org/rewardbench-th…
📑 #PaperSpotlight This paper proposes DORIS-MAE, a novel task designed to handle the complex nature of user queries in scientific research, and Anno-GPT, a scalable framework for validating LLM performances on expert-level dataset annotation tasks: semanticscholar.org/paper/DORIS-MA…
We're delighted that OLMo is included in this amazing lineup of candidates for @geekwire's Innovation of the Year 😊 Thank you for this honor! surveymonkey.com/r/VoteGeekWire…
Reading scientific papers can be a pain. Semantic Reader saves you from paging back and forth for references and helps you find key points of a paper with AI-generated overlays. Learn more: semanticscholar.org/product/semant…
📑 #PaperSpotlight How should LLMs affect the practice of science? Scientists share their diverse perspectives on the adoption of large language models and their impact on both current and future scientific practices: semanticscholar.org/paper/How-shou…
Summarization is one of the most common tasks where researchers use AI for assistance. On Semantic Scholar, you can see TLDRs of a paper right on the search results page! #TLDRs summarize the main objective and results of a paper in a single sentence. Here's an example:
Do you need scientific publication data for your next project? The free Semantic Scholar API allows you to find and explore scientific publication data about authors, papers, citations, venues, and more: semanticscholar.org/product/api
📣 Job opportunities at Semantic Scholar Research @ the Allen Institute for AI (AI2) for post-doctoral & pre-doctoral researchers starting in 2024! 📣 Our team works on NLP and HCI research with a focus on open LLMs and LLM-powered research support tools and assistants.
DM me if you're interested in: 🐋creating high-quality pretraining datasets 🐊studying data's impact on LM capabilities 🦉tools for sensemaking over large corpora 🐡adapting LMs to specialized domains like science 🐈evaluation through human interaction
DM me if you're interested in: 🐋creating high-quality pretraining datasets 🐊studying data's impact on LM capabilities 🦉tools for sensemaking over large corpora 🐡adapting LMs to specialized domains like science 🐈evaluation through human interaction
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Afforai has officially partnered with @SemanticScholar , an AI-powered research tool for scientific literature, developed by the Allen Institute for AI (AI2). afforai.com/opengraph/sema…
Our teammates consistently cite "the people" as their favorite part of AI2. We're currently looking to hire a superstar to help build out our team and culture! If you want to work with the best people solving the biggest problems, come join the fun! 🪩 boards.greenhouse.io/thealleninstit…
Introducing our best OLMo yet. OLMo 1.7-7B outperforms LLaMa2-7B, approaching LLaMa2-13B at MMLU and GSM8k. High-quality data and staged training are key. I am so proud of our team making such significant improvement in a short period after our first release.
Announcing our latest addition to the OLMo family, OLMo 1.7!🎉Our team's efforts to improve data quality, training procedures and model architecture have led to a leap in performance. See how OLMo 1.7 stacks up against its peers and peek into the technical details on the blog:…
What does it take to get a good MMLU score? Turns out: decent data, instructions in pretraining, fuzzy dedup, and quality filtering. just dropped OLMo 1.7-7b… nice perf lift over 1.0! Blog: blog.allenai.org/olmo-1-7-7b-a-… Model: huggingface.co/allenai/OLMo-1… Data: huggingface.co/allenai/dolma
Here's OLMo 1.7-7B We figured out how to fix the MMLU score for the first OLMo 7B model when training the bigger one, so we got you OLMo 1.7-7B. Better data (Dolma 1.7) + staged training = 24 point increase. Oh it has 2x the context length too (4096) huggingface.co/allenai/OLMo-1…
notable stuff: 🦉ton of perf boost from mixing instruct data at end (e.g., flan) 🐋anneal learning rate (Fig 9b in arxiv.org/abs/2403.08763) 🐞changing data mix boosts MMLU at some cost to other evals 🍇huggingface.co/allenai/dolma 🧀huggingface.co/allenai/OLMo-1…
Announcing our latest addition to the OLMo family, OLMo 1.7!🎉Our team's efforts to improve data quality, training procedures and model architecture have led to a leap in performance. See how OLMo 1.7 stacks up against its peers and peek into the technical details on the blog:…
Announcing our latest addition to the OLMo family, OLMo 1.7!🎉Our team's efforts to improve data quality, training procedures and model architecture have led to a leap in performance. See how OLMo 1.7 stacks up against its peers and peek into the technical details on the blog:…
7. Reviewing literature and finding citations Literature reviews are complex projects that can take years to complete. These tools facilitate the search and evaluate parts of the review. • @TheIrisAI • Rayyan • @scite • @lateral_ai • @perplexity_ai • @SemanticScholar
@_alialkhatib Use @SemanticScholar ; it's better anyway
Welcome @cohere's latest reward model to RewardBench -- clearly beats all the open models we have. I'm excited because it's hopefully the first step towards better transparency and disclosure in the alignment space. We have a lot more plans to build on RewardBench and in…
@miniapeur @vivi_soul semantic scholar ftw @SemanticScholar 💙
@gneubig This is cool! You can also do this using Semantic Scholar, on your profile there is a "citing authors" tab that ranks people by the number of papers they cite you in
This is really easy thanks to the @SemanticScholar API from @allen_ai, thanks to the people who maintain it!
4/n Our studies and methods offer insights for adaptive plain language summaries beyond a 'one-size-fits-all' approach. arxiv.org/abs/2403.04979 @kylelostat @nlpnoah @labinthewild @uwcse @SemanticScholar @allen_ai
1/n Language models (LMs) can support science communication by simplifying complex text for envisioned audiences ("write for 5th grader"). But simplifying can convey less information or lead to overconfidence. Our #CHI2024 paper investigates when and who we should simplify for
Search is more than just a single query: users have complex information needs! Sadly, most LLMs in information retrieval are not designed to work with rich instruction, and only support short, keyword-heavy queries 😭 We introduce benchmark & model for instruction-based…
LLMs can use complex instructions - why can’t retrieval models? We build FollowIR, a training/test set of real-world human retrieval instructions. Our FollowIR-7B is the best IR model for instruct-following, even beating @cohere @OpenAI retrievers 🤯 📝 arxiv.org/abs/2403.15246
LLMs can use complex instructions - why can’t retrieval models? We build FollowIR, a training/test set of real-world human retrieval instructions. Our FollowIR-7B is the best IR model for instruct-following, even beating @cohere @OpenAI retrievers 🤯 📝 arxiv.org/abs/2403.15246
Huge pleasure to be working with Semantic Scholar's vast body of richly organized scientific knowledge. All of this will soon helps us close many of the gaps between production of knowledge and its application in society.
Make science accessible to everyone - that's a shared mission between @readwonders and Semantic Scholar. Created by ReadWonders, Wonders is an AI search engine that helps you learn and answer questions directly from credible scientific sources. Learn more: semanticscholar.org/api-gallery/wo…
@SemanticScholar Thank you for adding us to your gallery. It's an absolute joy to be working with Semantic Scholar. Thank you for doing the critical work of organizing humanity's knowledge! 🙏
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