Zhiyu Chen

18 posts

Zhiyu Chen

Zhiyu Chen

@colozoy

Applied Scientist at Amazon focusing on IR and NLP problems. My opinions are my own.

Seattle, WA Katılım Şubat 2013
293 Takip Edilen89 Takipçiler
Zhiyu Chen retweetledi
Kawin Ethayarajh
Kawin Ethayarajh@ethayarajh·
📢 Models like #ChatGPT are trained on tons of human feedback. But collecting this costs $$$! That's why we're releasing the Stanford Human Preferences Dataset (🚢SHP), a collection of 385K *naturally occurring* *collective* human preferences over text. huggingface.co/datasets/stanf…
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Gabriel Bénédict
Gabriel Bénédict@le__gab·
Just started a compilation of generative models for search / information retrieval. github.com/gabriben/aweso… Mostly divided in: - Grounded Answer Generation (retrieval-augmented, attribution, ...) - Generative Document Retrieval (DSI, ...) What is still missing?
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Jundong Li
Jundong Li@LiJundong·
We just released a comprehensive survey paper on causal inference in recommender systems arxiv.org/pdf/2301.00910…. It covers widely-used strategies for bias mitigation, explanation, and generalization. Please check it out!
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Shuo Zhang
Shuo Zhang@imsure318·
Thrilled that share our work "StruBERT: Structure-aware BERT for Table Search and Matching" w/Mohamed Trabelsi, @colozoy @BrianDavison, and Jeff Heflin has been accepted at @TheWebConf #WWW2022 as a full paper!
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Fangyu Liu
Fangyu Liu@hardy_qr·
Sharing our recent tacl paper... 😎 okay, our recent arxiv preprint called token-aware contrastive learning (TaCL), by Yixuan Su, me, @mengzaiqiao, Lei Shu, @EhsanShareghi and @nigelhcollier.
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Google AI
Google AI@GoogleAI·
Check out a case study with Know Your Data — a dataset exploration tool introduced earlier this year at Google I/O — that highlights how biases can be traced to both dataset collection and annotation practices. goo.gle/3CzY0WQ
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Chenyan Xiong
Chenyan Xiong@XiongChenyan·
Just read through this new survey. Very well organized and helped me gain a quick overview of this topic in one hour. Thanks!
Graham Neubig@gneubig

Just released a new survey on prompting methods, which use language models to solve prediction tasks by providing them with a "prompt" like: "CMU is located in __" We worked really hard to make this well-organized and educational for both NLP experts and beginners, check it out!

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Jimmy Lin
Jimmy Lin@lintool·
For those working on MS MARCO v2 for the TREC 2021 Deep Learning Track, we're happy to share an augmented passage corpus that pulls in metadata from the doc corpus: provides a nearly 20 point bump on recall@100 on the dev queries for first-stage retrieval! github.com/castorini/anse…
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Sergey Levine
Sergey Levine@svlevine·
Empirical studies observed that generalization in RL is hard. Why? In a new paper, we provide a partial answer: generalization in RL induces partial observability, even for fully observed MDPs! This makes standard RL methods suboptimal. arxiv.org/abs/2107.06277 A thread:
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Jiaao Chen
Jiaao Chen@jiaao_chen·
Data augmentation has been one of the most common approaches for mitigating the need for labeled data&improving data efficiency. We provide an empirical*survey of data augm for limited data learning in NLP: arxiv.org/abs/2106.07499 w/ Derek Tam @colinraffel @mohitban47 @Diyi_Yang
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Claudia Hauff 🇪🇺 🇺🇦 🇩🇪 🇳🇱
Claudia Hauff 🇪🇺 🇺🇦 🇩🇪 🇳🇱@CharlotteHase·
Three ACL 2021 papers read in a row, three times they point to GitHub and three times there is just a placeholder README. A tad frustrating.
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Anjie Fang
Anjie Fang@anjiefang·
Our team is still looking summer intern candidates. The candidate is expected to have a solid background in NLP. They will be working on NLP related research projects. You can reach out with your CV (send to anjiefang at gmail com). #AmazonScience #InternAtAmazon
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Shuo Zhang
Shuo Zhang@imsure318·
Our resource paper accepted at #SIGIR2021 “WTR: A Test Collection for Web Table Retrieval”, w/@colozoy and @BrianDavison, has extended the table retrieval test collection, WikiTables (w/@krisztianbalog ), with more diverse Web tables and labels on contextual fields.
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Keşfet

@lixin26814124 @QingyaoAi @BrianDavison @TheWebConf @mengzaiqiao @nigelhcollier @LehighCSE @imsure318