Harshit Joshi @harshitj__
CS phd @StanfordNLP, @StanfordOVAL | prev: @MSFTResearch | LLM systems for knowledge access, discovery and curation harshitjoshi.com Stanford, CA Joined May 2012-
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Harshit Joshi retweeted
Interested in building and benchmarking deep research systems? Excited to introduce DeepScholar-Bench, a live benchmark for generative research synthesis, from our team at Stanford and Berkeley! 🏆Live Leaderboard guestrin-lab.github.io/deepscholar-le… 📚 Paper: arxiv.org/abs/2508.20033 🛠️…
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Harshit Joshi retweeted
Introducing Generative Interfaces - a new paradigm beyond chatbots. We generate interfaces on the fly to better facilitate LLM interaction, so no more passive reading of long text blocks. Adaptive and Interactive: creates the form that best adapts to your goals and needs!
which model will first get to 10%? taking wagers
which model will first get to 10%? taking wagers
Harshit Joshi retweeted
Can AI solve open problems in math, physics, coding, medical sciences & beyond? We collected unsolved questions (UQ) & tested frontier LLMs. Some solutions passed expert validation…
it would be nice to have personal agents that can take care of mundane/complex works for us while interacting with other agents — but how much can we rely on them? how can I trust them to not share my personal details? GO CHECK OUT THIS CRAZY WORK!
it would be nice to have personal agents that can take care of mundane/complex works for us while interacting with other agents — but how much can we rely on them? how can I trust them to not share my personal details? GO CHECK OUT THIS CRAZY WORK!
nothing is constant in travels, except desi family kalesh
Harshit Joshi retweeted
if you find this post interesting, please also check out AxBench, @aryaman2020 and I have a few more steering options to show. these are supervised methods, but automated with less than 50 LM generated examples to train.
if you find this post interesting, please also check out AxBench, @aryaman2020 and I have a few more steering options to show. these are supervised methods, but automated with less than 50 LM generated examples to train. https://t.co/ThOF2J4aII
Harshit Joshi retweeted
.@stanfordnlp papers at @aclmeeting in Vienna next week: • HumT DumT: Measuring and controlling human-like language in LLMs @chengmyra1 @sunnyyuych @jurafsky • Controllable and Reliable Knowledge-Intensive Task Agents with Declarative GenieWorksheets @harshitj__ @ShichengGLiu…
Claude code just added a bunch of `pytest.skip` lol 😭
Harshit Joshi retweeted
Are AI scientists already better than human researchers? We recruited 43 PhD students to spend 3 months executing research ideas proposed by an LLM agent vs human experts. Main finding: LLM ideas result in worse projects than human ideas.
Harshit Joshi retweeted
AI companions aren’t science fiction anymore 🤖💬❤️ Thousands are turning to AI chatbots for emotional connection – finding comfort, sharing secrets, and even falling in love. But as AI companionship grows, the line between real and artificial relationships blurs. 📰 “Can A.I.…
plis give them a place to say so that they can do great work 🫡
plis give them a place to say so that they can do great work 🫡
Harshit Joshi retweeted
What if LLMs could learn your habits and preferences well enough (across any context!) to anticipate your needs? In a new paper, we present the General User Model (GUM): a model of you built from just your everyday computer use. 🧵
i was recently told that i cannot angel invest 10k in a very promising startup because i do not have at least 30k followers 😭 😭
Harshit Joshi retweeted
Happy Throughput Thursday! We’re excited to release Tokasaurus: an LLM inference engine designed from the ground up for high-throughput workloads with large and small models. (Joint work with @achakravarthy01, @ryansehrlich, @EyubogluSabri, @brad19brown, @jshetaye,…
Harshit Joshi retweeted
I am hiring a Full time research engineer II and a senior research engineer for my team @zomato with the high level goal of training custom LLMs and deploying them at scale. More details in the 🧵
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