Violet Peng @VioletNPeng
NLP researcher, Assistant Professor @ UCLA-CS. (she/her/hers) vnpeng.net Los Angeles, CA Joined August 2012-
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🔍Hallucination or informativeness? 🤔Our latest research unveils a multi-dimensional benchmark and an LLM-based metric for measuring faithfulness and coverage in LVLMs. Explore our new method for a more reliable understanding of model outputs! 📣arxiv.org/pdf/2404.13874…
Our team in FAIR (at Meta) is hiring researchers (RS & PostDoc) to work on the broad topics of text and multimodal LLMs. Location: NY, Seattle or Menlo Park for RS, and Seattle for PostDocs. PostDoc: metacareers.com/jobs/968496244… Research Scientist, AI (PhD): metacareers.com/jobs/752169417…
Our repo has been re-available now: github.com/XuezheMax/mega…
Our repo has been re-available now: github.com/XuezheMax/mega…
How to enjoy the best of both worlds of efficient training (less communication and computation) and inference (constant KV-cache)? We introduce a new efficient architecture for long-context modeling – Megalodon that supports unlimited context length. In a controlled head-to-head…
We have extended the submission deadline to May 17!
We have extended the submission deadline to May 17! https://t.co/cRKxsymrA5
📢 We propose a new benchmark called PhonologyBench for testing how well LLMs perform on three tasks that require sound knowledge : phonemic transcription, counting syllables, and listing possible rhymes. w/ Harshita Khandelwal, @VioletNPeng 1/3
I had a great time visiting UCLA and USC during the spring break to give talks on "Amazing Multilingual Capabilities and Concerning Cultural Biases in Large Language Models". Thanks to @_jessethomason_ @VioletNPeng @kaiwei_chang @robinomial for hosting!
Remember AMR?🤭 Turns out, with its clear, structured representation of the semantic information in text, we can targetedly generate challenging negative examples with disguising hallucination to train automatic evaluators to spot them! #NAACL24
Remember AMR?🤭 Turns out, with its clear, structured representation of the semantic information in text, we can targetedly generate challenging negative examples with disguising hallucination to train automatic evaluators to spot them! #NAACL24
Proud of this work where we show event detection can generalize from one epidemic to another by identifying epidemic-related event types (e.g. symptoms) even if the actual mentions (e.g. of symptoms) are distinctive. So training on COVID, we can generalize to Monkeypox! #NAACL24
Proud of this work where we show event detection can generalize from one epidemic to another by identifying epidemic-related event types (e.g. symptoms) even if the actual mentions (e.g. of symptoms) are distinctive. So training on COVID, we can generalize to Monkeypox! #NAACL24
💡Can LLMs like GPT-4 reason creatively? Excited to share our latest research on AI and creativity! 🚀 Introducing MacGyver: a new playground for everyday innovation and physical reasoning --we collect problems to trigger unconventional usage of objects and innovative solutions.
📢 I'm recruiting a postdoc at UMD 🗓️ Starting in 2024 🖥️🙋 Topics related to human-AI interaction 🔜 Apply by May 31, but earlier if possible! 🤑 $75-$80k+benefits, unencumbered (ie not "big project") funding Link to full post and form for applications in thread. >
A Design Space for Intelligent and Interactive Writing Assistants #CHI2024 👩🏻✏️🤖 What writing assistants do you use? What else are out there and how do they differ? What do we need to consider when designing new writing assistants? 🔗 arxiv.org/abs/2403.14117 (1/6)
I joined OpenAI a few months ago, and I find it extremely rewarding to try to help with safety/privacy/fairness/etc in AI systems used by many people. If you are interested in these important problems, please apply at openai.com/careers/search…
EMNLP 2024 invites the submission of long and short papers featuring substantial, original, and unpublished research on empirical methods for Natural Language Processing. More info at: 2024.emnlp.org/calls/main_con… #EMNLP2024
We are excited to announce our colab with @huggingface to launch a leaderboard and blog on our #Contextual dataset. Blog: huggingface.co/blog/leaderboa… We test #Claude3 Opus on a few examples that #GPT4V could not perform. We find that #Claude3 Opus also fails on these instances. 🧵👇
New multimodal leaderboard on the hub 🚀 Many situations require models to parse images containing text: maps, web pages, real world pictures, memes, ... 🖼️ & the ConTextual team introduced a brand new dataset to evaluate how good models are on this! huggingface.co/blog/leaderboa…
🚨Summer AI Research Internships🚨 The @TechAtBloomberg office of the CTO is looking for summer AI research interns! ML, NLP, Vision, LLMs Spread the word. Interested candidates should apply here: forms.gle/niB9ZU6eEi6iEz…
✨New Paper Alert✨ Adding safety prompts can safeguard LLMs against harmful inputs, but do you know how they intrinsically work? Check our latest paper: We study the working mechanisms of safety prompts from the perspective of model representations 📄arxiv.org/abs/2401.18018
🚀Excited to introduce ConTextual, a study on the capabilities of the LLMs (GPT-4V, Gemini, LLaVA) to perform joint reasoning over the text and visual content in the images. GPT-4V is behind humans on this task by 30.8%! 📜 arxiv.org/abs/2401.13311 🌐 con-textual.github.io
ACL announcement: "The ACL Executive Committee has voted to significantly change ACL's approach to protecting anonymous peer review. The change is effective immediately. (1/4) #NLPRoc
William Wang @WilliamWangNLP
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IJCAI-STAI 2024 @STAIWorkshop
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Jitendra Sharma @jkumarsharma998
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(((ل()(ل() 'yoav))).. @yoavgo
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Kyunghyun Cho @kchonyc
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Faeze Brahman @faeze_brh
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Zhe Gan @zhegan4
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140 Followers 129 Following Just a dumb bunny. Ph.D. Candidate @ UCLA Pluslab NLG/Generative Models/ML/RL
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141 Followers 45 FollowingTrends for United States
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