Mehak Dhaliwal @mehakdh1
CS PhD student @ UCSB Interested in AI for Healthcare, NLP, Fairness, and Robustness mehak126.github.io Joined December 2021-
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This is exciting! Two independent groups have now confirmed the presence of self-bias in various tasks performed by large language models. Our paper, "Perils of Self-Feedback" (arxiv.org/abs/2402.11436), revealed that self-refinement processes may actually intensify the self-bias.
This is exciting! Two independent groups have now confirmed the presence of self-bias in various tasks performed by large language models. Our paper, "Perils of Self-Feedback" (arxiv.org/abs/2402.11436), revealed that self-refinement processes may actually intensify the self-bias.
Thank you for the interview @matteo_wong @TheAtlantic , great to hear diverse opinions about the topic @bonadossou @IfeAdebara @anas_ant @alexandrabirch1 @sarahookr @HolyLovenia @mehakdh1
Thank you for the interview @matteo_wong @TheAtlantic , great to hear diverse opinions about the topic @bonadossou @IfeAdebara @anas_ant @alexandrabirch1 @sarahookr @HolyLovenia @mehakdh1
A wonderful piece which draws on researcher perspectives and communities working on this problem. @davlanade @bonadossou @IfeAdebara @anas_ant @alexandrabirch1 @HolyLovenia @mehakdh1 + a spotlight on global multi-year efforts: @CohereForAI w Aya + @MasakhaneNLP
What do you do when someone questions your work while you're giving a talk? You do a collaboration! Coming to NAACL 24: a paper investigating when contested translations matter for text-to-image multilinguality assessment w/ @FPSLuozi from ASU arxiv.org/abs/2403.11092 1/8
🚀 Exciting News! 🚀 We had our first Real AI group meeting last week, and it was a fantastic start to our journey together! It was amazing to see everyone's enthusiasm and passion for AI. At Real AI, we seek to pioneer the next frontiers of artificial intelligence for science.
🎉 Thrilled to share my first first-author paper on adversarial transfer learning got accepted at @CVPR ! Feel free to check it out: arxiv.org/abs/2312.05716 Brief Summary ⏬
{UCSB|AI2|UW|Stanford|MIT|UofT|Vector|Contextual AI} present a survey on🔎Data Selection for LLMs🔍 Training data is a closely guarded secret in industry🤫with this work we narrow the knowledge gap, advocating for open, responsible, collaborative progress arxiv.org/abs/2402.16827
In case anyone else is digging through their bookmarks looking for these today, here are the rebuttal guides ;) docs.google.com/document/d/1cd…
3. MT detection and multi-way parallelism are promising data filtering techniques for improving multilingual data quality. This is also an important issue for AI researchers and internet content consumers as machine-generated content is ever-increasing.
3. MT detection and multi-way parallelism are promising data filtering techniques for improving multilingual data quality. This is also an important issue for AI researchers and internet content consumers as machine-generated content is ever-increasing.
2. The highly multi-way parallel translations are likely machine translations from English to lower-resource languages with significantly lower translation and content quality
2. The highly multi-way parallel translations are likely machine translations from English to lower-resource languages with significantly lower translation and content quality
Thank you @julesaroscoe @VICENews for covering our work! Read at arxiv.org/abs/2401.05749 Key takeaways- 1. A large portion of the internet is translated to many languages (multi-way parallel), with low-resource languages having significantly more translations
Thank you @julesaroscoe @VICENews for covering our work! Read at arxiv.org/abs/2401.05749 Key takeaways- 1. A large portion of the internet is translated to many languages (multi-way parallel), with low-resource languages having significantly more translations
Heads up for anyone looking to post an ACL-format preprint to arXiv on Jan 15: that's a US public holiday (MLK day), so there will be no postings that day. If you want to be able to link to your preprint before AOE Jan 15, your arXiv submission deadline is actually THIS Friday!
RAG for LLMs Great to see an overview of all the retrieval augmented generation (RAG) research that has been happening. Should be a great read for the end of the year. arxiv.org/abs/2312.10997…
Join for research in responsible and ethical AI, led by the best advisors!
Join for research in responsible and ethical AI, led by the best advisors!
Interested in AI for Science? Our team @ai_ucsb is recruiting! @HaewonJeong00 , @YaoQin_UCSB & I are hiring postdocs & PhD students & visiting researchers 😃 👉Apply to @ucsbece at ece.ucsb.edu/grad/apply before Dec 15! Yao & I are also #NeurIPS2023 : feel free to reach out!
Interested in AI for Science? Our team @ai_ucsb is recruiting! @HaewonJeong00 , @YaoQin_UCSB & I are hiring postdocs & PhD students & visiting researchers 😃 👉Apply to @ucsbece at ece.ucsb.edu/grad/apply before Dec 15! Yao & I are also #NeurIPS2023 : feel free to reach out! https://t.co/3ICVGUXamz
In particular, we are working on AI Safety (robustness & fairness), AI for Science (quantum and neuroscience), AI for Healthcare (Diabetes & Women Brain Health). Feel free to reach out if you are interested in one of these topics!
The REAL AI team @ UCSB @ai_ucsb is hiring! We have openings for PhD students/Postdoc/visiting researchers! Both Nina @ninamiolane and I @YaoQinUCSD will be at NeurIPS this week. Come to talk to us if you have interests in doing REAL AI research 😊
Conventional #recsys wisdom: "better to go wide than deep". Our paper: go infinitely-wide, compute the solution in closed-form with a single hyper-parameter, and considerably beat all SoTA. Furthermore, can you get the same performance with just 500 fake users? Yes! A thread 🧵
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Great piece by @matteo_wong in the @TheAtlantic quoting Dr. @IfeAdebara, who did her PhD with me at UBC Linguistics (@UBCLinguistics). Also quotes a number of fiends and colleagues, including @davlanade, @bonadossou @anas_ant @alexandrabirch1 @sarahookr @HolyLovenia @mehakdh1.…
AI understands just a tiny fraction of the thousands of languages used worldwide. That means the promised chatbot revolution could shut out billions of people, and even push some languages to extinction, @matteo_wong writes: theatlantic.com/technology/arc…
fixed the fixed fix for llama3
Thank you for the interview @matteo_wong @TheAtlantic , great to hear diverse opinions about the topic @bonadossou @IfeAdebara @anas_ant @alexandrabirch1 @sarahookr @HolyLovenia @mehakdh1
AI understands just a tiny fraction of the thousands of languages used worldwide. That means the promised chatbot revolution could shut out billions of people, and even push some languages to extinction, @matteo_wong writes: theatlantic.com/technology/arc…
AI understands just a tiny fraction of the thousands of languages used worldwide. That means the promised chatbot revolution could shut out billions of people, and even push some languages to extinction, @matteo_wong writes: theatlantic.com/technology/arc…
Brilliant piece @matteo_wong. FYA @nxthompson this is a good one! I do find the argument compelling & brilliant contributions from @davlanade @bonadossou @IfeAdebara @anas_ant @alexandrabirch1 @sarahookr @HolyLovenia @mehakdh1.
Thank you for the interview @matteo_wong @TheAtlantic , great to hear diverse opinions about the topic @bonadossou @IfeAdebara @anas_ant @alexandrabirch1 @sarahookr @HolyLovenia @mehakdh1
[ #Recherche ] 👩🔬 A l’occasion du "Mois #FemmesetScience", rencontre avec Nina Miolane, professeure d'intelligence artificielle à the University of California, Santa Barbara, où elle dirige le Geometric Intelligence Lab. ➡ bit.ly/3Ikwktb #IPPariswomeninscience
Who among us hasn't woken up in a cold sweat, terrified that Nicholas Carlini has demolished our security model overnight and uploaded the proof to arxiv?
Google announces Stealing Part of a Production Language Model We introduce the first model-stealing attack that extracts precise, nontrivial information from black-box production language models like OpenAI's ChatGPT or Google's PaLM-2. Specifically, our attack recovers the…
🚀 Exciting News! 🚀 We had our first Real AI group meeting last week, and it was a fantastic start to our journey together! It was amazing to see everyone's enthusiasm and passion for AI. At Real AI, we seek to pioneer the next frontiers of artificial intelligence for science.
🚀Fire linguists in the LLM era? No! Excited to share LingoLLM, a novel method for processing endangered languages with linguistic resources. LingoLLM improves the translation of many endangered languages from 0 to 10.5 BLEU! It helps other tasks as well! arxiv.org/abs/2402.18025
⚠️ Jailbreaking attacks for LLMs are crazy. How should we efficiently defend them? Check out 🛡️𝕊𝕒𝕗𝕖𝔻𝕖𝕔𝕠𝕕𝕚𝕟𝕘, a simple inference-time defense method. We found that fine-tuning with more safety data may not work well in defending wild jailbreaking attacks, while make…
another tutorial coming up built during the flight, this time DPO'ing Gemma 🥹
internet barely works in the plane, gg although I was able to train, perplexity was very bad still, PEFT + TRL is very fast 🥹💗
🎉 Thrilled to share my first first-author paper on adversarial transfer learning got accepted at @CVPR ! Feel free to check it out: arxiv.org/abs/2312.05716 Brief Summary ⏬
the proposal be proposing 🤌 ✨dm me for access✨
We identify a fundamental implicit bias of training neural networks with gradient descent. The weight matrices become aligned with a quantity closely related to the empirical NTK. This alignment is a mechanism for learning features from data.
Gradient descent induces alignment between weights and the empirical NTK for deep non-linear networks ift.tt/PZXqygl
TFW you ask ChatGPT a question and think ‘well that cant be the only right answer…’ In new work we look into how LLM alignment impacts pluralism and ability to reflect diverse opinions (it decreases it), and make an argument for pluralistic evaluations! arxiv.org/abs/2402.05070
🤔How can we align AI systems/LLMs 🤖 to better represent diverse human values and perspectives?💡🌍 We outline a roadmap to pluralistic alignment with concrete definitions for how AI systems and benchmarks can be pluralistic! arxiv.org/abs/2402.05070 First, models can be…
What are "representational harms"? This work: 1) examines current definitions 2) proposes an expansion to include affective and cognitive states 3) provides high-level requirements for measurement 4) outlines the harms wrt LLMs and 5) mitigation strategies arxiv.org/abs/2402.01705
This is the 7th year after my Ph.D. , and now looking back at my grad school, there are 5 things I wish I had known when I started graduate school. 🧵 1/6
I love to see ethics being brought into so many more of these conversations 🥰 @ucsd_cse #CSEOpenHouse2024
fun newsletter today on a recent pre-print suggesting AI models could be swamped by terrible machine-translated content in less common languages, with input from @emollick: politico.com/newsletters/di…
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