Jielin Qiu @_Jason_Q

Research Scientist @Salesforce AI Research, Ph.D. from @SCSatCMU cs.cmu.edu/~jielinq/ Carnegie Mellon University Joined January 2021

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Salesforce AI Research @SFResearch

2 weeks ago

🚨 Introducing LoCoBench: a comprehensive benchmark for evaluating long-context LLMs in complex software development 📄 Paper: bit.ly/4ponX3P 🔗 GitHub: bit.ly/4pvIfbZ ✨ Key Features: 📊 8,000 evaluation scenarios across 10 programming languages 🔍 Context…

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Ce Zhang @ce_zhang

2 years ago

Excited to see the first paper getting accepted at @DMLRJournal. In the last few months, we are fascinated by the quality of reviews and the engaging interactions between authors and reviewers! Thanks everyone! Please continue to send your best work about Data x ML😀

Journal of Data-centric Machine Learning Research @DMLRJournal

2 years ago

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Jielin Qiu @_Jason_Q

2 years ago

🎊Extremely honored to share that our paper on multimodal model robustness has been accepted as the 1st paper for the Journal of Data-centric Machine Learning Research @DMLRJournal With @yizhu59 @sxjscience @flwenz @mli65 #Multimodal #Robustness #DistributionShift

Journal of Data-centric Machine Learning Research @DMLRJournal

2 years ago

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Danqing Wang @dqwang122

2 years ago

📚🌟 Evaluate any story to your heart's content with our new personalized story evaluation model, PerSE! No more worries about diverse preferences - get your own story evaluation report now! 📝🎯 arxiv.org/abs/2310.03304 1/5

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Wenda Xu @WendaXu2

2 years ago

What is missing in the text generation evaluation for BERTScore, BLERUT, COMET, SEScore & SEScore2? Explanation! Can we build a metric that not only produces a well-correlated quality score but also tell you the rationales, error type, and error location? Checkout InstructScore!

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Danqing Wang @dqwang122

2 years ago

🚀 Excited to share our latest work in EMNLP main conference: "Learning from Mistakes via Interactive Study Assistant for Large Language Models". We introduce a study assistant (SALAM) to conduct thoughtful analysis on LLMs' mistakes and provide guidelines to avoid past mistakes

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Kexun Zhang @kexun_zhang

2 years ago

😭Tired of in-context demos & docs for LLM tool use? 💰Too GPU-poor to tune LLMs for unseen tools? 🤬Frustrated with frequent syntax errors in tool calls? Check out our new preprint 𝐓𝐨𝐨𝐥𝐃𝐞𝐜 that addresses all these issues from the decoding side! arxiv.org/abs/2310.07075 1/5

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Seungwhan Shane Moon @shane_moon

2 years ago

Excited to share our recent work, AnyMAL -- a unified Multimodal LLM built on LLaMA-2 that can reason over various inputs, e.g. images, audio, motion sensors. Check out our paper for more information on the model training, evaluation, safety and more! ➡️ arxiv.org/abs/2309.16058

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Yi Zhu @yizhu59

3 years ago

Check out our new evaluation benchmarks and metrics for robustness of image-text multimodal models! @AmazonScience #multimodal #stablediffusion

DeepAI @DeepAI

3 years ago

Check out our new evaluation benchmarks and metrics for robustness of image-text multimodal models! @AmazonScience #multimodal #stablediffusion

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Santiago @svpino

4 years ago

A topic that comes up in every interview: Bias, variance, and their relationship with machine learning algorithms. Here is a simple summary that you will easily remember. ↓

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Xin Eric Wang @xwang_lk

4 years ago

Our #ACL2022 paper "Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions" is out (arxiv.org/abs/2203.12667)!!! It serves as a thorough reference for the VLN research community (for both starters and experts). github.com/eric-ai-lab/aw…

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Jia-Bin Huang @jbhuang0604

4 years ago

How to present a line plot? Line plots are effective for describing the relationship between two variables of interests. Unfortunately, most junior students would simply copy&paste the figure from the paper in their talk and cause much confusion. 😕 Let's break it down ... 🧵

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Jiahui Yu @jhyuxm

4 years ago

Our team at Google Brain is looking for outstanding PhD students (expected graduation after 2023) who are interested in student researcher internships this year 2022. careers.google.com/jobs/results/9…

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Ai2 @allen_ai

4 years ago

The Embodied AI Lecture Series at AI2 is back! Subscribe to the mailing list for info about how to join these free lectures live, or stay tuned and we'll post the recorded sessions after the fact. Subscribe: allenai.us1.list-manage.com/subscribe?u=61… More info: prior.allenai.org/lectures

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Andrew White 🐦‍⬛ @andrewwhite01

4 years ago

I've been writing research articles for over 10 years now and one of the hardest parts is writing consistently and efficiently without procrastinating. I'm going to share some of my tips here 🧵 1/10

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Ai2 @allen_ai

4 years ago

AI2's computer vision team PRIOR announced an exciting new release of their #EmbodiedAI platform AI2-THOR – in partnership with @unity, you can now train headlessly on multiple GPUs. 📈 Learn more: medium.com/ai2-blog/ai2-t…

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Arjun Akula @arjunreddy2613

4 years ago

I'm hiring an intern at Google AI team 2022! Email me ([email protected]) if you are 1) Graduating in 2023 or 2024; 2) Interested in multi-modal representation learning, language grounding; and 3) have strong publication record. #NLProc #intern #computervision #google #hiring

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Stanford AI Lab @StanfordAILab

4 years ago

Where do the rewards for robotic reinforcement learning come from? In this blog post we explore how using crowdsourced language annotations and videos of humans, we can learn reward functions and enable them to generalize more broadly. ai.stanford.edu/blog/reward-is…

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Misha Laskin @MishaLaskin

4 years ago

Transformers are arguably the most impactful deep learning architecture from the last 5 yrs. In the next few threads, we’ll cover multi-head attention, GPT and BERT, Vision Transformer, and write these out in code. This thread → understanding multi-head attention. 1/n