CEO & Founder, @AlphaDesignAI. We make ChipAgents.ai I'm also Mellichamp Chair Prof. at UCSB CS. PhD @ CMU SCS.
Santa Barbara, CA
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Today, I’m excited to share a major milestone for ChipAgents. 🚀
We’ve closed a $50M Series A1, bringing our total capital raised to $74M. The round was led by Matter Venture Partners, a TSMC-backed HardTech fund, with continued support from our existing investors, Bessemer Venture Partners, Micron Technology, MediaTek and Ericsson.
I’m also thrilled to welcome Wen H. Hsieh, Ph.D. to our Board of Directors.
We just opened our new 20,000 sq ft headquarters in Santa Clara to scale our Agentic AI platform for chip design. In just months, we’ve grown to 80 leading semiconductor customers (including large semis), achieved 140x YoY ARR growth, and signed multiple multi-year, multi-million-dollar licenses.
Our multi-agent AI teams are delivering step-function gains in real production environments: including 15x faster spec comprehension, 240x faster formal assertion generation, 400x faster UVM environment creation, and 100% code and functional coverage through formal verification. We’re building the AI workforce for semiconductor engineering, and this next chapter accelerates our mission to make AI-native chip development the new industry standard.
We're thrilled to announce that ChipAgents has raised an oversubscribed $50M Series A1, bringing our total funding to $74M. This round was led by Matter Venture Partners, a TSMC-backed HardTech VC firm, with continued support from Bessemer Venture Partners, Micron, MediaTek, Ericsson, and other strategic partners.
Since our Series A just months ago, the momentum has been extraordinary: 140× year-over-year ARR growth, deployments at 80+ leading semiconductor companies with multi-year, multi-million-dollar contracts, team growth from 10 to 46 employees, and a move to our new 20,000 sq ft headquarters in Santa Clara.
We're also honored to welcome Wen Hsieh, Founding Managing Partner of Matter Venture Partners, to our Board of Directors, and Sandeep Bharathi, President of Marvell's Data Center Group, to our Advisory Board. They join an exceptional group including Wally Rhines, Jack Harding, John Bowers, and Erez Tsur.
The future of chip design is autonomous, intelligent, and faster than ever. This is just the beginning.
👉 Read the full announcement: businesswire.com/news/home/2…
👉 Join our team: chipagents.ai/careers
👉 Learn more: chipagents.ai
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Just another day, waking up to find out that the undergrad hired by your grad student generated a $20,000 OpenAI API bill in the last three days, without your authorization. 😅
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Many PhD students ask me what to work on given academia’s compute constraints. 🤔🤔🤔
My answer: Focus on questions only fundamental research can solve.
Some ideas to share with everyone:
→ Why and how did LLMs have the reasoning capabilities? (Theory gaps ≠ scaling)
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I got out of my PhD in 2016 and had 200 citations. My work has now been cited over 20,000 times! 🙌 Huge thanks to all the researchers who found it helpful in advancing their own ideas. 🚀 No celebration, but plenty of gratitude & virtual high-fives🙏
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This is the toughest time for international grad students in the US: they have to deal with months of self-isolation, COVID-19, far away from home, worry that visa / OPT being taken away, find jobs, and now reading all the sad news about protests... faculty: let’s offer support.
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🎉 🎉 🎉 My first promotion letter just came in after my fifth work anniversary! Looks like faculty are not too tired of me and I will be associating with them from now own. Very grateful to my students, collaborators, mentors, colleagues, #NLProc community letter writers.
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BREAKING: Taylor Swift's Eras Tour just did what AI couldn’t—pushed NeurIPS by a whole day! 🤖 🤣🤣🤣
#NeurIPS 2024 Conference Date Change
The conference start date has been changed to Tuesday December 10 in order to support delegates arriving on Monday. neurips.cc/
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Papers before PhD are terrible metrics of future success and research potentials. Three of my best PhD graduates had ZERO top conference papers when they came in. 🤷
My jaws keep dropping as I go through 70 PhD applicant files. People w/ 2 coauthored papers & an interesting solo writing sample don’t even make it to the top 10 in my pile.
The level of knowledge, research experience & passion these kids bring to the table is just remarkable! 🤩
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A collection of 300+ survey papers on Natural Language Processing (#NLProc) and Machine Learning (ML) by topics: github.com/NiuTrans/ABigSurv…
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🤩Apple opensources MGIE! Now one can take random pictures w. iPhone & edit w. language!
Guiding Instruction-based Image Editing via Multimodal Large Language Models #ICLR2024 spotlight: openreview.net/forum?id=S1RK…
Apple repo github.com/apple/ml-mgie
Gradio github.com/tsujuifu/pytorch_…
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The most comprehensive survey I’ve seen on pretrained language models for #NLProc: arxiv.org/pdf/2003.08271.pdf
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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
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🚀🚀🚀Understanding Pre-trained Large Language Models through a Probabilistic Lens by @XinyiWang98 Super nice review by Xinyi into the science of LLMs! #NLProc Slides: wangxinyilinda.github.io/pdf…
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I urge faculty to consider: when meeting graduate students on Zoom, the first thing is to ask students about their physical and mental status, and whether they can safely access groceries and food.
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Wow, gzip-embedding is wild. IMHO, this paper is more creative than 95% of ACL's main conference papers. How come it was only accepted as findings? #ACL2023NLP #NLProc
this paper's nuts. for sentence classification on out-of-domain datasets, all neural (Transformer or not) approaches lose to good old kNN on representations generated by.... gzip aclanthology.org/2023.findin…
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Imagine being a CS/AI PhD student attending your first ACL, excited to present your research, only to be told by officials that ACL isn’t an AI conference—you’re in the wrong place. How would you feel? It’s disheartening to us who’ve seen ACL as central to our AI/NLP journey.
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I strongly recommend this comprehensive #NLProc survey paper: Data Augmentation Approaches in Natural Language
Processing arxiv.org/pdf/2110.01852.pdf by @WanxiangChe and students. Data augmentation is one of the few proven techniques that always deliver strong results.
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🚨StructureDiffusion🚨 is my favorite paper this year: by infusing linguistic structures (syntactic parsing) into the diffusion guidance, we can get state-of-the-art compositionality text-to-image generation. Joint work w. UC Santa Cruz and Google. 🚀🚀🚀
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
abs: arxiv.org/abs/2212.05032
github: github.com/weixi-feng/Struct…
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An email I received today:
Dear Dr. Wang,
Due to your involvement in the field and the research you published in your paper, "“Liar, liar pants on fire”: A new benchmark dataset for fake news detection," I invite you to contribute a chapter to "Fire Management,"... 🤣🤣🤣
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Randomly bumped into Prof. Dan Jurafsky's CS 384: Ethical and Social Issues in Natural Language Processing @stanfordnlp. The list of topics are absolutely fascinating and the up-to-date readings are completely mind-blowing 😲#NLProc web.stanford.edu/class/cs384…
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PhD is never about a specific problem; all research topics evolve. It's about cultivating critical thinking, learning to navigate challenges, and gaining deep scientific knowledge. Let's not conflate the quick pace of startups with the depth and breadth of a PhD.
If you don't have a clear and strong interest in pursuing a specific research problem for the next 4-6 years of your life, don't do a PhD. Go work for one of the many cool AI startups or research labs in industry: similar profile, faster pace, better pay, shorter commitment.
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I'm thrilled to share that I have received an NSF CAREER Award this year to work on #NLProc and faithful natural language generation. I'm also very grateful to many talented students, colleagues, collaborators, and mentors: news.ucsb.edu/2021/020232/wo…
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After 2000+ cups of coffee and 7 caffeinated years post-PhD, I've been brewed into a FULL professor! Now the real question is, should I teach my AI to master the espresso machine? ☕️🤖
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🧵What can graduate student researchers in #NLProc do to stay relevant in a competitive research environment with disruptive technologies happening in the industry? A thread. 1/N
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🚀 Excited to share the latest on our recent UCSB NLP alumni! 🎉
🔹 @JiachenLi11 (PhD '25) → xAI
🔹 @yujielu_10 (PhD '25) → Meta GenAI
🔹 @PanLiangming (Postdoc '24) → Asst. Prof., Arizona
🔹 @Qnolan4 (PhD '24) → Meta GenAI
Proud of their achievements—onward and upward! 🚀
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I try to avoid politics on my academic Twitter but this time I will make an exception. I stand in solidarity with #BlackLivesMatter to fight racism. I have a selfish reason: if Asians and Latinos are not supporting the blacks, racism will come to every one of us (it did already).
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📢 To all students refreshing emails for #EMNLP2023 decisions: I’ve been there before. Remember, a single accept or reject decision does not define your career or the value of your work. Use feedback as a guide to refine and elevate your research. Keep pushing forward! 💪
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The arxiv embargo policy for *ACL was established in 2017, and it was even before BERT. 🤯🤯🤯 I request ACL exec consider the accelerated pace of #NLProc research in 2023, and its impact on early-career researchers and students: 🧵
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Yes, I think the academia is still trying to figure out how to give access of LLMs to undergrads.
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I’ve never talked about my father because in Asian culture, father’s love is indirect. My dad was one of the earliest PhDs in China after the cultural revolution, and his thesis in the 80s on Quasi-Newton Multipliers Method was conducted in a very difficult time!I love you dad!👨
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Landing a faculty position or a PhD offer in the US this year feels significantly harder than in previous years. The bar isn’t just higher—it’s shifting. Anyone else noticing the same trend? 🤔 #AcademicJobMarket #PhDAdmissions
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Respectfully disagree. It's the structure of language and words that make LLMs effective. Pure speech, time series, or video without linguistic co-supervision don't yield the same results. Language provides the minimal conceptual units that enable these models to work.
It's a bit sad and confusing that LLMs ("Large Language Models") have little to do with language; It's just historical. They are highly general purpose technology for statistical modeling of token streams. A better name would be Autoregressive Transformers or something.
They don't care if the tokens happen to represent little text chunks. It could just as well be little image patches, audio chunks, action choices, molecules, or whatever. If you can reduce your problem to that of modeling token streams (for any arbitrary vocabulary of some set of discrete tokens), you can "throw an LLM at it".
Actually, as the LLM stack becomes more and more mature, we may see a convergence of a large number of problems into this modeling paradigm. That is, the problem is fixed at that of "next token prediction" with an LLM, it's just the usage/meaning of the tokens that changes per domain.
If that is the case, it's also possible that deep learning frameworks (e.g. PyTorch and friends) are way too general for what most problems want to look like over time. What's up with thousands of ops and layers that you can reconfigure arbitrarily if 80% of problems just want to use an LLM?
I don't think this is true but I think it's half true.
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I’m honored to receive the 2023 Pierre-Simon Laplace Award from the IEEE Signal Processing Society today in Seoul, Korea! 🌟 Deeply grateful to my students, collaborators, colleagues, and mentors. Your support make this a shared honor. #IEEE #SignalProcessing #ICASSP2024
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🌟Waiting for #ACL2023 decisions? Remember, acceptance or rejection doesn't define you or your work! 💪 Keep pushing! Use the FEEDBACK to improve your work and keep learning. Success is a journey, not a destination. 🚀 Your potential is limitless! 🌟
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New career update: 🚀 Today, we’re thrilled to launch ChipAgents, our most ambitious project. The agentic AI chip design environment will allow engineers to iterate on your chip design & verification 10x faster by collaborating with ChipAgents in your favorite code editor. 🤖
🚀Introducing ChipAgents: the World's First AI Agent for Chip Design and Verification.
Get ready to supercharge your workflow and accelerate your time-to-market! 💻⚡
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Looking to land a top job in GenAI? Focus is key. Instead of spreading yourself thin with 20 unrelated papers during your PhD, hone in on 2-3 representative publications in areas like SFT, RLHF, alignment, safety, or data selection. Make a name for yourself w. quality work.
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🚨We spent an *ENTIRE YEAR* collaborating with JPM, TMP, CMU, PSU, & financial analysts to build the FinQA dataset for numerical reasoning over financial reports, which includes high quality QA pairs over text and tables. #EMNLP2021 #NLProc arxiv.org/abs/2109.00122
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🚀🚀🚀🚀🚀5/5 papers accepted to #NAACL2022 and #LREC2022 from my group at @ucsbNLP: all papers led by 10 women students. 👩🔬👩🔬👩🔬👩🔬👩🔬👩🔬👩🔬👩🔬👩🔬👩🔬 1/n #nlproc
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I was deeply saddened to learn of the passing of Prof. Drago Radev. Anyone who interacted with Drago knew he was THE KINDEST PERSON IN THE ENTIRE #NLProc Community. 🕯️🙏 1/N
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Observation: Relying too heavily on prompt engineering can stifle the creativity and exploration spirit of PhD students. It's crucial to remember that breakthroughs and fundamental innovations come from diving deep, questioning, and reimagining the boundaries of what's possible.
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🔍One of the most challenging aspects of Assistant Professor jobs is fundraising. This is also my 7th year as a faculty member. Thread on 5 lessons learned on Fundraising for Assistant Professors in Academia🎓: 1/6
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The best advice I have for junior faculty and graduate students about work-life balance is to turn OFF your email and slack notifications on your phone. Don’t let them mess up your priorities and interrupt your schedule. I tried last year and felt much better. 😎
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Google Scholar released the 2017 version of top publication metrics, and arXiv surpassed ACL, EMNLP, and NAACL for the first time. #nlproc
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After 2 wonderful years, I'm leaving Amazon AWS.
Working with talented colleagues at AWS AI Labs/Kendra/Amazon Q/Bedrock, we achieved remarkable milestones. 🌟
I firmly believe that the GenAI innovation is just at the beginning stage. Stay tuned for my next journey! 🔥✨
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Tough time for grad students in LLM/GenAI: weeks or months of deep thinking is essential for impactful work, but taking too long risks getting scooped. Navigating in this space requires delicate balance.
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Congratulations to @YejinChoinka for being named a 2022 MacArthur Fellow! This is wonderful news for the entire #NLProc community. piped.video/watch?v=8zBaNH0u…
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#NLProc Trends from ACL 2010 - ACL 2019. Super cool visualization of the past decade by Wanxiang Che: public.flourish.studio/visua… #acl2020nlp @aclmeeting 🧐📈📉
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Pro tips for students #ACL2023NLP: don’t just sit in orals all day. Poster sessions are great for in-person interactions & make new friends. Join BoF sessions, social events, & hangout in your affinity groups. Papers and models come and go, but conf buddies last forever. #NLProc
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UCLA Computer Science Professor Amit Sahai explains the same concept, Zero-Knowledge Proof, to a child, a teenager, a college student, a grad student, and an expert. 😯 piped.video/watch?v=fOGdb1CT…
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My sabbatical: exploring the snow mountains during the day, writing proposals in the evening. 🏔️
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Thank you @Airport_FRA border control for interrogating my PhD student with a valid Schengen visa in the immigration jail for 5 hours and deporting him back to US. He just wanted to pass by and present his paper at #EMNLP2018 conference!
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If you are wondering why your Google Scholar citation suddenly boosted over night: many thanks to @annargrs for spotting the missing citation issue and @earnmyturns for connecting with the Google Scholar team for a timely fix. #NLProc
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This paper by Partha Talukdar, @vinodkpg et al. @ Google is pretty awesome. Re-contextualizing Fairness in NLP: The Case of India arxiv.org/abs/2209.12226 Most #NLProc fairness studies are about the West, but the authors focus on culture-specific axes that I truly enjoy learning.
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A new time-sensitive QA dataset led by UW, AI2, Tohoku, Yale, and RIKEN. REALTIME QA: What’s the Answer Right Now? arxiv.org/abs/2207.13332 Project page: realtimeqa.github.io/
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It’s the time of the year that new faculty members are about to choose their offer and start a faculty job. 🤩🤩🤩I have some advice that I wish I knew when I first started: 1/6
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If big companies are dominating leaderboards with superior computing resources in #NLProc, what would academia do? Not necessarily a bad thing: we can now focus on answering the WHY questions. We got a v large # of subs of model analysis and interpretability papers at #emnlp2020.
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ACL notifications are coming! A big thank you to the #acl2020nlp PC heroes @natschluter @Tetreault_NLP Joyce Chai for their amazing work. I cannot imagine how stressful it is to handle 3K+ submissions, COVID-19, and ... the START system at the same time. #NLProc #acl2020
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When can I Speak? Predicting initiation points for spoken dialogue agents by Stanford NLP's Siyan Li, Ashwin Paranjape, Christopher D. Manning arxiv.org/abs/2208.03812 I seriously need this tool for my online meetings, as I am very bad at predicting when is best to talk on Zoom.🤣
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I came across this very nice blogpost on Coming up with research ideas by ACL Best Paper Award winner Marco Tulio Rebeiro. Highly recommended! medium.com/@marcotcr/coming-… #NLProc
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🚀🚀🚀We would like to congratulate UCSB #NLProc students and collaborators on their 11 accepted papers at #EMNLP2022. 🚀🚀🚀We will present in the areas of QA, LLMs, Dialogs, Language and Vision, Safety and Privacy, and Generation. Details and preprints to follow soon.
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Graduation season is here! A student who started research with me as a sophomore, published a first-author paper and got into Stanford. In his words, "I discovered what I wanted to do for the rest of my life." Seeing students grow is the best part of being a professor!
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Junior PhD student getting a paper accepted vs Senior PhD student getting a paper accepted...... Credits: William Neault and Chen Guang.
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🤩This is my favorite paper in 2024 so far: how do reasoning abilities emerge from language models? Xinyi shows that through a theory of random walk and path aggregation, indeed random walk reasoning paths based pretraining can improve real-world multi-step reasoning performance.
Happy to share our new preprint on understanding how reasoning emerges from language model pre-training: arxiv.org/abs/2402.03268
We hypothesize that language models can aggregate reasoning paths seen in pre-training data to draw new conclusions at inference time.
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Interesting paper from Bar-Ilan, AI2, LMU, CMU, and Saarland on using counterfactuals on co-occurrence statistics, and how they affect LLM performances. arxiv.org/abs/2207.14251 #NLProc
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㊙️ What is the biggest secret of industry LLMs? It's their data. Alon spent half year carefully reviewing the literature, and organized a dream team to narrow the knowledge gap. This is our attempt in understanding data selection for open science LLMs. 🚀🚀🚀
{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
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We need to train junior #NLProc and ML reviewers to appreciate different types of contributions for research papers. This year I got separate neg. reviews for a paper introducing a new task & dataset, and an analysis paper. Reviewers simply wrote "No new models? Reject!"
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UCSB #NLProc Group welcomes new faculty and co-Director Prof. Lei Li @lileics: sites.cs.ucsb.edu/~lilei/ Don’t forget to check out his #ACL2021NLP Best Paper on optimal transport for vocabulary reduction next week.
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In the last 7 years, I focus on *ONE* thing every day: mentoring undergraduate research, and introducing #NLProc research to them. I treat every ugrad in my lab as my own Ph.D. student, and it has been a tremendous privilege to see them grow. Thanks @CRAtweets for recognizing us!
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Congratulations to @xwang_lk Xin Wang for his Best Student Paper Award at #CVPR2019. arxiv.org/abs/1811.10092 Neat idea on self-supervised learning to generate intrinsic RL rewards and imitation learning to improve generalization. Congrats to Xin’s @MSFTResearch mentors! #NLProc
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A list of top #NLProc researchers on Twitter to follow:
@YejinChoinka @real_asli @YunNungChen @Diyi_Yang @jessyjli @Kordjamshidi @LuWangCS @feiliu_nlp @lspecia @VioletNPeng @cocoweixu @gh_marjan @zkozareva @eunsolc @hhexiy @swabhz @danqi_chen @LuhengH @thamar_solorio plz add..
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Thank you so much, Jochen for sharing this wonderful news. I’m humbled to receive this prestigious award and I’m grateful for the support from my students, mentors, and colleagues!
After counting the votes, the winner of the 2022 Microsoft-BCS/BCS IRSG Karen Spärck Jones award is UCSB's Professor William Yang Wang (@WilliamWangNLP - sites.cs.ucsb.edu/~william/) - congratulations!
#awards #IR #NLP #NLProc #ML
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Instead of saying, "ACL is not X," let's frame it as: "ACL is an interdisciplinary conf. that welcomes researchers from all backgrounds. It's a space where AI and language technology intersect, fostering collaboration and innovation." This is what makes ACL unique.
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Congratulations to all! Super excited to graduate 7 PhD students this year: they are joining UW, Princeton, Google x 2, xAI, Amazon, and Meta. They are the future of AI!
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Congratulations to UCSB NLP Group students and collaborators on your accepted 9 #ACL2019nlp papers (7 long and 2 short). We will present in the area of dialog, language & vision, QA, summarization, self-supervised learning, IE, explainable and responsible #NLProc.
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I'm thrilled to share that this year's #SoCalNLP2022 will happen IN PERSON at UCSB on November 18th! We invite SoCal #NLProc academics to submit a 2-page abstract and come to join us this Fall! socalnlp.github.io/symp22/ Free registration and a full day of exciting programs!
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Do you ever wonder what the differences among self-training, self-critic, self-refine, self-improve, self-instruct, self-debug, and other self-* LLM papers are? 🤯🤯🤯 @PanLiangming & colleagues carefully survey LLM self-correction to fix hallucinations, unfaithful reasoning, etc
🔥 One of the most exciting things about LLMs is their ability to self-correct from feedback. But how do we keep track of all the new papers? Our survey comprehensively documents the MANY types of self-correction strategies. 🚀🚀🚀
📜 Preprint: arxiv.org/abs/2308.03188
🧵(1/8)
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Call me biased, but @WenhuChen and @hhsun1 @ysu_nlp are doing some of the most impressive research in generative AI these days.
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“Someone can publish” or “fitting into academia” does NOT mean someone has the potential to do top-notch / truly impactful research. I often read candidates statements carefully, talk to them, and ask deep questions: I’d rather hire a student with high upper bound of potentials.
Papers before PhD is a sign that the person will probably fit well in the 'publish or perish' culture.
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The goal isn’t to chase SOTA but to interrogate the unknown—where answers might take years, but redefine the field.
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Wow, looks like there are 10,000 abstract submissions to #AAAI2020 conference this year.
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DeepPath hits 1,000 citations! 🎉
Back in 2017, we introduced DeepPath, one of the earliest reinforcement learning frameworks for multi-hop reasoning over discrete knowledge graph structures. The idea was simple but ambitious: use an RL agent to learn relational paths in large-scale knowledge graphs—not by memorizing facts, but by reasoning over them.
When I first floated the idea to some senior PhD students, many said it couldn’t be done—the search space was just too large. But @XiongWenhan came up with a clever supervised RL warm-up technique that tamed the RL model and made the entire system trainable.
Fast forward to today, and it’s humbling to see this work cited 1,000 times.
DeepPath paved the way for many of our later ideas on RL-based reasoning and inspired our current work on AI agents that operate in symbolic environments.
Huge shout-out to my incredible students:
Wenhan Xiong, now training Grok at xAI
Thien Hoang, continuing to innovate at Google
Even though they’ve long since graduated, their early contributions continue to ripple through the field.
Thank you to the research community for building on this work. Here’s to the next chapter in agentic AI! 🧠🤖
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AI conferences like #NeurIPS2023 & #emnlp2023 have evolved remarkably. Now, papers accepted are often 6 mo out of date, but they serve a new purpose: they’re tickets for authors to engage, socialize, and discuss their latest innovations. A dynamic shift from just a few years ago!
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Sharing my vision for SIGDAT:
1️⃣ Advocate Open Science Research
2️⃣ Ensure consistent review practices & Allow finding papers be presented at EMNLP.
3️⃣ Commit to aggressive fundraising for ECRs & champion an evidence-based approach to inclusion.
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Super excited to announce that I’ve taken a new position as the Founding Director of @UCSBengineering’s new Responsible Machine Learning Center. In this role, I will work with colleagues to understand responsibilities, fairness, bias, explainability & privacy in ML/AI research.
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#NLProc and #ComputerVision are getting closer than ever before. In the past, people didn't talk to each other often, but now some of the most exciting projects in vision are based on text and transformers. What's next? vision will change #NLProc. 1/n
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UC Santa Barbara Computer Science is hiring multiple tenure-track assistant professors for this 23-24 cycle. recruit.ap.ucsb.edu/JPF02622 All areas are welcome to apply, but AI/ML (including #NLProc, Vision) and Quantum Computing are priority areas. recruit.ap.ucsb.edu/JPF02622
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BlenderBot 3's arxiv preprint paper is out. arxiv.org/abs/2208.03188 It has a fairly complicated module execution flow chart and also a multi-stage design for safety. 😯😯😯
#NLProc
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Mexico City is a great choice for #NAACL2024! I hope we could have more future AI conferences in Latin America and Africa. 🇲🇽
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