Shivanshu Gupta Profile
Shivanshu Gupta

@shivanshug11

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PhD Candidate at UC Irvine | Research Intern @allen_ai | Previously @asapp @amazon @linkedin @msftresearch @iitdelhi | #NLP & #ML Research

Irvine, California
Joined April 2018
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@shivanshug11
Shivanshu Gupta
1 year
Happy to share that our GistScore paper has been accepted to #icml2024 -- the first ICML paper of my PhD!. We introduced a simple yet state-of-the-art approach for selecting examples for in-context learning with LLMs. Checkout the thread👇for code/models.
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@shivanshug11
Shivanshu Gupta
1 year
🧵 Doing In-Context Learning with LLMs?. Check out our GistScore paper for a simple approach to train example encoders that can be used to select informative examples for superior ICL performance. 💪. Or just use our multi-task trained encoders that work well out of the box! 🤗.
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@shivanshug11
Shivanshu Gupta
5 months
RT @ScaledCognition: We’re Scaled Cognition, developing the first ever models trained specifically for agentic applications:. 1. Our first….
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@shivanshug11
Shivanshu Gupta
6 months
RT @allen_ai: Can AI really help with literature reviews? 🧐. Meet Ai2 ScholarQA, an experimental solution that allows you to ask questions….
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@shivanshug11
Shivanshu Gupta
6 months
RT @Preethi__S_: 📢 New paper from my internship at @cohere with @seraphinagt ‼️.Are you interested in investigating the fairness of LLMs in….
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@shivanshug11
Shivanshu Gupta
6 months
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@shivanshug11
Shivanshu Gupta
6 months
RT @srush_nlp: 10 short videos about LLM infrastructure to help you appreciate Pages 12-18 of the DeepSeek-v3 paper (.
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@shivanshug11
Shivanshu Gupta
7 months
RT @sameer_: Excited about #NeurIPS2024, my 15th one I think! Eager to meet everyone & hear abt your work! But if you want to hear me, ther….
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@shivanshug11
Shivanshu Gupta
7 months
RT @KareemYousrii: Excited to give an oral presentation of our work "Controllable Generation via Locally Constrained Resampling" @ #NeurIPS….
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@shivanshug11
Shivanshu Gupta
8 months
RT @AkariAsai: 1/ Introducing ᴏᴘᴇɴꜱᴄʜᴏʟᴀʀ: a retrieval-augmented LM to help scientists synthesize knowledge 📚 @uwnlp @allen_ai .With open m….
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@shivanshug11
Shivanshu Gupta
8 months
Had a great time at #EMNLP2024! Met lots of old friends and new. Having the entire #UCINLP group around made it one of the most fun conferences I have attended!
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@shivanshug11
Shivanshu Gupta
8 months
RT @ben_bogin: I will be presenting SUPER next week at EMNLP, Tuesday 4pm. Stop by to talk about evaluating agents on running research expe….
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@shivanshug11
Shivanshu Gupta
8 months
RT @kolbytn: I am officially on the job market for industry research positions focused on agentic LLMs and multi-turn reasoning!. I'll be a….
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@shivanshug11
Shivanshu Gupta
8 months
RT @mbodhisattwa: I’ll be looking for summer research interns @allen_ai at the Aristo team (@ai2_aristo). Along with broad topics mentioned….
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@shivanshug11
Shivanshu Gupta
1 year
Since I accidentally deleted the original tweet thread😅, this was work done during my summer internship at @asapp with my amazing mentors, Ethan @side1track1 and Clemens Rosenbaum!.
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@shivanshug11
Shivanshu Gupta
1 year
RT @HJCH0: What a great 1H it has been for 2025 for @USC_ISI NL Seminar 🎉, hosted by @cutelabname_nlp! .We had an amazing line up of speake….
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@shivanshug11
Shivanshu Gupta
1 year
RT @kolbytn: Skill Set Optimization was accepted to @icmlconf 2024! I'm proud of this work and everything we learned about in-context polic….
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@shivanshug11
Shivanshu Gupta
1 year
I'm happy to share that I have joined @allen_ai as a Research Intern with @ben_bogin and @tusharkhot! We're working on making LLMs capable of software engineering and research. Super excited! 😁 . PS: I have moved to Seattle -- hit me up if you're around!.
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@shivanshug11
Shivanshu Gupta
1 year
RT @HJCH0: 📢 This Thursday 11AM-12PM PST, we have @shivanshug11 from @UCIrvine giving us a talk at @USC_ISI on "Informative Example Select….
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@shivanshug11
Shivanshu Gupta
1 year
Also, check out for easy in-context learning experiments with a variety of datasets, LLMs, and example selectors!.
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@shivanshug11
Shivanshu Gupta
1 year
Our code and models are now available at Try it for your own datasets/LLMs!.
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