bhavana dalvi @bhavana_dalvi
Lead Research Scientist at Allen Institute for Artificial Intelligence @allenai_org , NLP/AI Research Seattle WA Joined August 2009-
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Is it possible to build end-to-end autonomous discovery systems using Large Generative Models (LGMs)? 🧬 In this position paper, we argue: arxiv.org/pdf/2402.13610… 🧵 (1/n) @allen_ai @ai2_aristo @surana_h @UMassAmherst @UUtah
Excited to share our recent paper led by @Nathaniel_Weir 🥳 Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic tinyurl.com/bdehyv5k Thanks to all the collaborators!
Excited to share our recent paper led by @Nathaniel_Weir 🥳 Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic tinyurl.com/bdehyv5k Thanks to all the collaborators!
Excited to share our work on Continual Learning via Skill Set Optimization🥳 Can a language agent explore new interactive tasks, automatically identify useful skills, generalize them to new tasks? allenai.github.io/sso with @kolbytn @mbodhisattwa @sameer_ Peter Clark @roydfox
Excited to share our work on Continual Learning via Skill Set Optimization🥳 Can a language agent explore new interactive tasks, automatically identify useful skills, generalize them to new tasks? allenai.github.io/sso with @kolbytn @mbodhisattwa @sameer_ Peter Clark @roydfox
Excited to share our work, "Skill Set Optimization", a continual learning method for LLM actors that: - Automatically extracts modular subgoals to use as skills - Reinforces skills using environment reward - Facilitates skill retrieval based on state allenai.github.io/sso 🧵
Using a dynamic, persistent memory, CLIN is the first continually learning model that excels in both task adaptation & generalization to unseen tasks in a zero-shot setup. Explore this exciting new work by AI2's @mbodhisattwa and @bhavana_dalvi, and the @ai2_aristo team:
Using a dynamic, persistent memory, CLIN is the first continually learning model that excels in both task adaptation & generalization to unseen tasks in a zero-shot setup. Explore this exciting new work by AI2's @mbodhisattwa and @bhavana_dalvi, and the @ai2_aristo team:
We are excited to announce CLIN 🤖: The first continually learning language agent that excels in both task adaptation and generalization to unseen tasks and environments in a pure zero-shot setup. @ai2_aristo @allen_ai Website: allenai.github.io/clin/ Let's dive in 🧵 (1/n)
(n/n) This was only possible with the huge team effort: @bhavana_dalvi, @peterjansen_ai, Oyvind, Niket, @liharryzhang, Chris Callison-Burch, and Peter Clark! CLIN is open source: github.com/allenai/clin Paper: arxiv.org/pdf/2310.10134…
The deadline for the Workshop on Natural Language Reasoning and Structured Explanations ( nl-reasoning-workshop.github.io ) has been extended until *May 3, AoE*. This is mostly accommodate ACL decisions, but gives you a chance to make your submissions even more awesome :)
📣Call for papers! The Natural Language Reasoning and Structured Explanations Workshop will be the first of its kind at ACL 2023, and the deadline for paper submissions is April 24. Learn more and submit here: nl-reasoning-workshop.github.io
We ( @bhavana_dalvi , @peterjansen_ai , @danilodnr2 , @_jasonwei , and Lionel Wong from @MITCoCoSci ) are excited to announce the 1st Workshop on Natural Language Reasoning and Structured Explanations, co-located with ACL 2023. 🧵 nl-reasoning-workshop.github.io
Models can output the darnedest things. But how do they come up with their answers, and what if you could help correct them? Bhavana Dalvi and teammates from @ai2_aristo introduce TeachMe, a framework to understand and correct AI models: blog.allenai.org/towards-teacha…
Please vote for the workshop proposals for EACL/ACL-IJCNLP/EMNLP/ NAACL-HLT 2021 forms.gle/kkfsQZjjs2hFYi… @acl2020 @naacl @allenai_org @uwnlp @ACL_NLP #ACL2020 #naacl #NLP #ACL_NLP -- The EACL/ ACL-IJCNLP / EMNLP / NAACL-HLT 2021 Workshop chairs
3/3 papers accepted #emnlp2019 #ai2 🎉 -Everything Happens for a Reason: Discovering the Purpose of Actions -WIQA: A dataset for What if... reasoning -Pretrained Language Models for Sequential Sentence Classification @KeisukeS_ @armancohan @danielking36 @i_beltagy @ds @scottyih
Buses still not running due to excessive snow on roads :P
Again, we do not anticipate restoring bus and T service tonight, and will reassess early tomorrow morning.
Amazed by Britains got talent episodes, so many people with so many talents :D
http://www.youtube.com/watch?v=9AP30br94ro&feature=related
Ashutosh Mehra @ashutoshmehra
1K Followers 5K Following Senior Principal Scientist at Adobe. Working on Acrobat AI Assistant, LLMs, and document ML.
Iris Ma @iris_ma14
107 Followers 934 Following PhD Student @UCIrvine under @cristalopes | #SE | #LLM4Code | program verification
Nathaniel Weir @Nathaniel_Weir
507 Followers 851 Following PhD candidate @jhuclsp working on reasoning. Formerly @ai2_aristo, MS Semantic Machines, @MSFTResearch, @BrownCSDept. On the job market (industry/postdoc)
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Aniket Vashishtha @AniketVashisht8
354 Followers 554 Following Predoctoral Research Fellow working on NLP & Causality @MSFTResearch
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280 Followers 1K Following An electrical and computer engineer with a BE from @aub_lebanon. Research assistant @QatarComputing
Wenting Zhao @wzhao_nlp
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சுதாகர்.. @sudakarganesan
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Rajarshi Rakshit @rajarshirakshit
90 Followers 48 Following A fool who wants to understand himself...
yusuf sayyad @YusufSayyad5
738 Followers 3K Following कागज की नाव बनाके हम भी खेले हैं। दुनिया के जुल्म हमने भी झेले हैं। बे परवाह हैं वो जालिम जमाना जिसने दुनिया में मजहबी ज़हर घोलें हैं।
Varun Arora @2pointsomeone
616 Followers 2K Following Founder, @OpenCurriculum. Author of "AI in Schools" https://t.co/Xb0B4MSums. Former Anne Lewis fellow at @CarnegieMellon. Interested in everything about teaching. 🌱
Ravi @guindyexpress
398 Followers 4K Following PhD Candidate @UCF🎓, NLP, Social Computing, Biomed, Applied ML. @Snap👻, @SiemensHealth🧠 *I am on the job market for postdoc and industry research positions!*
Sarah Wiegreffe @sarahwiegreffe
4K Followers 984 Following At @allen_ai @ai2_aristo @uwnlp. Research in language model transparency & interpretability. PhD from @mlatgt @icatgt @gtcomputing. Views my own.
hyunji amy lee @hyunji_amy_lee
432 Followers 239 Following PhD student @kaist_ai. Previously: @allen_ai. Working on Information Retrieval and Retrieval Augmented LMs
Valentina Pyatkin @valentina__py
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Yao Fu @Francis_YAO_
14K Followers 2K Following PhD @EdinburghNLP on LLMs and Machine Reasoning. Ex. @Columbia @PKU1898 @MITIBMLab @allen_ai AGI has yet to come, so keep running
Ian Magnusson @IanMagnusson
250 Followers 294 Following Predoctoral Young Investigator on AllenNLP at @allen_ai. Working on domain adaptation, reproducibility, and evaluation in NLP.
Vaish Shrivastava @VaishShrivas
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Archiki Prasad @ArchikiPrasad
975 Followers 821 Following PhD student @uncnlp, advised by @mohitban47 | Undergrad @iitbombay | Prev: @allenai_org @AdobeResearch; Research interests: #NLProc #ML
Peter Jansen @peterjansen_ai
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Qiming (Bill) Bao @qiming_bao
408 Followers 3K Following Ph.D. Candidate @witbrock @AucklandUni in #LLMs #Reasoning; AI Engineer @xtractaapp; ex: R&D Engineer LAIR, AIIT, @PKU1898; @AucklandUni (First-class Honours).
Mrinmaya Sachan @mrinmayasachan
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Kolby Nottingham @kolbytn
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Hanna Hajishirzi @HannaHajishirzi
6K Followers 328 Following Associate professor at @uw_cse; senior director at @allen_ai co-leading @allenNLP; AI/NLP researcher at @uw_nlp
Bodhisattwa Majumder @mbodhisattwa
1K Followers 795 Following Research @allen_ai. Scientific Discovery, Language & Interactive Agents. PhD @ucsd_cse, @AdobeResearch Fellow. Prev @googleai @metaai @msftresearch
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Aristo Team at AI2 @ai2_aristo
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Is it possible to build end-to-end autonomous discovery systems using Large Generative Models (LGMs)? 🧬 In this position paper, we argue: arxiv.org/pdf/2402.13610… 🧵 (1/n) @allen_ai @ai2_aristo @surana_h @UMassAmherst @UUtah
🚨 How can we achieve high-quality logic in LLM-powered entailment engines? 🔍 We introduce: 1️⃣ A theory-driven method to classify good vs bad compositional entailments 2️⃣ A novel corpus-grounded entailment tree generator, TreeWise 🌲 Paper: arxiv.org/abs/2402.14798 🧵
New work from @ai2_aristo is live on arxiv! Congrats to all involved -- @kolbytn @mbodhisattwa @bhavana_dalvi @sameer_ Peter Clark and @roydfox 🙌 Learn more ▶️ Project Site: allenai.github.io/sso Paper: arxiv.org/abs/2402.03244 Code: github.com/allenai/sso
Excited to share our work, "Skill Set Optimization", a continual learning method for LLM actors that: - Automatically extracts modular subgoals to use as skills - Reinforces skills using environment reward - Facilitates skill retrieval based on state allenai.github.io/sso 🧵
Excited to share our work, "Skill Set Optimization", a continual learning method for LLM actors that: - Automatically extracts modular subgoals to use as skills - Reinforces skills using environment reward - Facilitates skill retrieval based on state allenai.github.io/sso 🧵
Thank you to my coauthors @mbodhisattwa, @bhavana_dalvi, @sameer_, Peter Clark, and @roydfox! Learn more at the links below: Project Site: allenai.github.io/sso Paper: arxiv.org/abs/2402.03244 Code: github.com/allenai/sso
Congratulations to @swabhz, a previous AI2 Young Investigator, for her recognition as an Intel Rising Star Faculty member. Read more about Swabha's journey via @USCViterbi: viterbischool.usc.edu/news/2023/10/s…
AI2's CEO Ali Farhadi believes that advancements in AI demand "radical openness." In a conversation with @nytimes' @SteveLohr, Ali pushes for a glass box approach, allowing researchers to better understand AI behavior: nytimes.com/2023/10/19/tec…
Great work! Life-long learning for language agents is such an important and tricky problem, glad that CLIN presents a nice solution🙋♀️
We are excited to announce CLIN 🤖: The first continually learning language agent that excels in both task adaptation and generalization to unseen tasks and environments in a pure zero-shot setup. @ai2_aristo @allen_ai Website: allenai.github.io/clin/ Let's dive in 🧵 (1/n)
To create truly personalized LLM-powered systems, LLMs need to learn from very few interactions, quickly adapt, and transfer learned knowledge. Congrats to @mbodhisattwa, @bhavana_dalvi, and team. Lot's of exciting work happening at @ai2_aristo!
We are excited to announce CLIN 🤖: The first continually learning language agent that excels in both task adaptation and generalization to unseen tasks and environments in a pure zero-shot setup. @ai2_aristo @allen_ai Website: allenai.github.io/clin/ Let's dive in 🧵 (1/n)
Using a dynamic, persistent memory, CLIN is the first continually learning model that excels in both task adaptation & generalization to unseen tasks in a zero-shot setup. Explore this exciting new work by AI2's @mbodhisattwa and @bhavana_dalvi, and the @ai2_aristo team:
We are excited to announce CLIN 🤖: The first continually learning language agent that excels in both task adaptation and generalization to unseen tasks and environments in a pure zero-shot setup. @ai2_aristo @allen_ai Website: allenai.github.io/clin/ Let's dive in 🧵 (1/n)
We are excited to announce CLIN 🤖: The first continually learning language agent that excels in both task adaptation and generalization to unseen tasks and environments in a pure zero-shot setup. @ai2_aristo @allen_ai Website: allenai.github.io/clin/ Let's dive in 🧵 (1/n)
(n/n) This was only possible with the huge team effort: @bhavana_dalvi, @peterjansen_ai, Oyvind, Niket, @liharryzhang, Chris Callison-Burch, and Peter Clark! CLIN is open source: github.com/allenai/clin Paper: arxiv.org/pdf/2310.10134…
Large language models are impressive, but do they have coherent "beliefs" about the world? And do they form anything like a mental model when reasoning? Check out this talk by AI2's Interim CEO Peter Clark for @sfiscience: "What do our Machines Dream of?" youtube.com/watch?v=H7p4HI…
The deadline for the Workshop on Natural Language Reasoning and Structured Explanations ( nl-reasoning-workshop.github.io ) has been extended until *May 3, AoE*. This is mostly accommodate ACL decisions, but gives you a chance to make your submissions even more awesome :)
At long last, it's out! The Semantic Reader Project - our vision for an AI-augmented scientific reading interface... semanticscholar.org/reader/67a5bac… @SemanticScholar @allen_ai
📣Call for papers! The Natural Language Reasoning and Structured Explanations Workshop will be the first of its kind at ACL 2023, and the deadline for paper submissions is April 24. Learn more and submit here: nl-reasoning-workshop.github.io
I was one of the *so many*. Couldn't agree more! (For us Iranians there was a travel ban in effect too! For 4/5 years of my student life )
This point is never mentioned: There are *so many* international grad students "stuck" in the US because they might be denied re-entrance / renewing their travel visa would take forever. Their only chance of presenting in person is that occasionally conferences are in the US.
On the PRIOR team, @ehsanik is pushing the boundaries of indoor robotics. Read about her career journey, current work and favorite Seattle activities in her Featured AI2er profile: blog.allenai.org/featured-ai2er…
We ( @bhavana_dalvi , @peterjansen_ai , @danilodnr2 , @_jasonwei , and Lionel Wong from @MITCoCoSci ) are excited to announce the 1st Workshop on Natural Language Reasoning and Structured Explanations, co-located with ACL 2023. 🧵 nl-reasoning-workshop.github.io
Models can output the darnedest things. But how do they come up with their answers, and what if you could help correct them? Bhavana Dalvi and teammates from @ai2_aristo introduce TeachMe, a framework to understand and correct AI models: blog.allenai.org/towards-teacha…
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