iglu-contest @ NeurIPS

211 posts

iglu-contest @ NeurIPS

iglu-contest @ NeurIPS

@IgluContest

IGLU: Interactive Grounded Language Understanding in a Collaborative Environment Ask any questions using: info AT iglu-contest DOT net

Seattle, USA Katılım Nisan 2021
294 Takip Edilen259 Takipçiler
iglu-contest @ NeurIPS retweetledi
Negar Arabzadeh
Negar Arabzadeh@NegarEmpr·
Join us for another SIGIR Lean and Learn series on LLM-based Applications with "AutoGen: A Programming Framework for Agentic AI". P.s : I was honoured to work on AgentEval as part of Autogen as of my internship project @MSFTResearch. bit.ly/4eieaXz #LLMs #SIGIR2024 #LLM
Ebrahim Bagheri@ebrahim_bagheri

SIGIR VF Presents "AutoGen: A Programming Framework for Agentic AI" Join us to learn how to build LLM-based Applications 👉REGISTER: forms.gle/1Mw8CDQ3BX63Cz… (Free of Charge) @NegarEmpr @suzan @ACMSIGIR @SIGIRConf @UnderdogGeek @lauradietz99 @ryen_white @pyautogen @Chi_Wang_

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Julia Kiseleva
Julia Kiseleva@julia_kiseleva·
🌟Excited about #LLMs in search, recommendations, and much more? Join us at LLM Day @ACMSIGIR on July 16 in Washington, DC! We have prepared an exciting program for you! #SIGIR2024 📅 Schedule & Highlights: 1️⃣ 09:00 - 10:00 Keynote by Thorsten Joachims (Cornell University) 2️⃣ 10:30 - 11:00 Jason Weston @jaseweston (Meta) gives a talk about Self-Rewarding LLMs 3️⃣ 11:00 - 11:45 State of LLMs in Search and Recommendations: Chenyan Xiong @XiongChenyan (CMU): The Role of Information Retrieval in the Era of LLMs Xinyu Crystina Zhang (UWaterloo): Multilinguality in the Era of LLMs 4️⃣ 11:45 - 12:30 LLMs at Industry Scale: Dawei Yin (Baidu): LLMs in Baidu Search Amanda Bertsch @abertsch72 (CMU): Unlimiformer and Long Context Models 5️⃣ 13:30 - 15:00 Health, Legal, Finance, and Ethics: Subhabrata Mukherjee (Hippocratic AI): Safety-focused Conversational AI for Healthcare Michael Cole (LexisNexis): LLMs in the Legal Domain Anju Kambadur (Bloomberg): Generative AI in Finance Jordan Meyer (Spawning): AI Training Data and Consent 6️⃣ 15:30 - 16:30 Multi-Agents & Reasoning: Qingyun Wu (Penn State) @qingyun_wu & Chi Wang @Chi_Wang_ (Microsoft Research): #AutoGen Framework (@pyautogen) Omar Khattab @lateinteraction (Stanford): DSPy: Self-Improving Language Programs Mirac Suzgun (Stanford): Meta-prompting 7️⃣ 16:30 - 17:30 Anticipated Trends in Search: Benjamin Piwowarski (CNRS): Index-based Retrievers in the Neural Era Bryan McCann (from @yousearchengine): The Future of Trust in LLMs The full program is available here: sigir-2024.github.io/call_for_parti…
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Chi Wang
Chi Wang@Chi_Wang_·
StateFlow is recently integrated into @pyautogen . It already helped some users achieving both higher quality and lower cost with their multi-agent system. Kudos to @YiranWu18 @VyvyenYue @ShaokunZhang1 @qingyun_wu for the timely research and fast integration.
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iglu-contest @ NeurIPS
iglu-contest @ NeurIPS@IgluContest·
#ClariQ competition co-organized at #SCAI2020 was an original inspiration for IGLU 😉 Collected dataset is still widely used! Everything has its purpose and place in the timeline✨ aclanthology.org/2021.emnlp-mai… convai.io w/@maliannejadi @varphi @JeffD @MikhailBurtsev
Julia Kiseleva@julia_kiseleva

Truly rewarding! #SCAI has continued this year and collocated with #CHIIR2024! It's great to see that something you have created one day (back in 2017 😉) continues to live and evolve! Kudos to organizers! Hope to see the workshop next year as well! scai.info/scai-2024/

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Julia Kiseleva
Julia Kiseleva@julia_kiseleva·
It was great to present our work done on top of @IgluContest dataset at #EACL2024! Kudos goes to @nikhilhockey for all the hard work! Great audience and a lot of nice discussions! Amazing organisation! Hope to see you all soon again!
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Julia Kiseleva
Julia Kiseleva@julia_kiseleva·
Really nice poster on retrieving the cause of questions in the educational domain; I can see how it can improve lecture preparation and more #EACL2024 #eacl
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Julia Kiseleva
Julia Kiseleva@julia_kiseleva·
Yet another cool idea and great poster design! #EACL2024
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AutoGen
AutoGen@pyautogen·
Checkout this new research on AI agents enabled by #AutoGen!
Mengdi Wang@MengdiWang10

Do Large Language Models (LLM) have leadership? Together with cognitive scientists Tom Griffiths @cocosci_lab and Natalia Velez @natvelali at @Princeton, we created a multi-LLM-agent system to test if agents work better with a leader. It turns out that LLMs do have leadership, and some is better than others! They can elect their own leader, and optimize themselves via Reflect and Critic! We are closer to the #Westworld~ Check out: arxiv.org/abs/2403.12482 Credits to team members @_traceur__, Jiale, @KaixuanHuang1, @huazheng_wang, @qingyun_wu Our system is proudly based on AutoGen @pyautogen. #AI #Agent #GPT #LLMs

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iglu-contest @ NeurIPS
iglu-contest @ NeurIPS@IgluContest·
Excited to dive into Interactive Grounded Language Understanding? 🚀 Seeking to develop agents adept at natural dialogue, assisting in real-world tasks. Key: knowing when to ask for feedback and learning. Check out datasets to get started: github.com/microsoft/iglu… #EACL2024 #EACL
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Mohammad Aliannejadi
Mohammad Aliannejadi@maliannejadi·
Stop by our poster @eaclmeeting on "Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness". #EACL2024
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arindam mitra
arindam mitra@Arindam1408·
Introducing Orca-Math, our Mistral-7B offshoot excelling in math word problems! 🧮🐳 - Impressive 86.81% score on GSM8k - Surpasses models 10x larger or with 10x more training data - No code, verifiers, or ensembling tricks needed
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Julia Kiseleva
Julia Kiseleva@julia_kiseleva·
After receiving a lot of help, and meeting the Maltese ambassador 😉 I am heading to #EACL, excited to share our work on interactive agents! Looking forward to catching up with old and new friends. DM me for a chat about anything, including @pyautogen arxiv.org/abs/2304.10750
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