Welcome to the INK Lab @ USC

The Intelligence and Knowledge Discovery (INK) Lab at USC studies how large language models reason, explain themselves, work alongside people, and how to make them more trustworthy. Our recent work spans reasoning over rules and long chains of thought, interpretability and accountability (memorization, forgetting, backdoors, and model signatures), explanations that help people learn and rely on AI appropriately, and the evaluation of language agents and cultural bias in language models. We are excited about both developing computational models and building practical systems for real-world applications. Led by Prof. Xiang Ren, the INK lab is also part of USC Machine Learning Center, NLP Community@USC, and ISI Center on Knowledge Graphs.

News

  • 6/ 2022 - Our paper NewsEdits, led by Alexander, won an Outstanding Paper Award at NAACL 2022 for its contribution to best resource.
  • 5/ 2022 - Xiang serves as senior area chair for EMNLP 2022 on commonsense reasoning
  • 4/ 2022 - Xiang is selected as a Google Research Scholar.
  • 4/ 2022 - Xiang starts part time as a visiting research scientist at AI2.
  • 02/ 2022 - Xiang gave a talk at AI2 about commonsense reasoning in the wild. Check our slides for our recent work.
  • 12/ 2021 - Chenguang, Yuchen, Yicong, Meng, Wenhao and Xiang will be giving a tutorial "Knowledge-Augmented Methods for Natural Language Processing" at ACL 2022.
  • 12/ 2021 - Xiang will start a collaborative project on bias mitigation of NLP models supported by a Facebook Research Award.
  • 11/ 2021 - Xiang will co-organize three workshop in 2022 *CL conferences: Workshop on Commonsense Representation and Reasoning and FL4NLP at ACL 2022, and DeepLo at NAACL 2022
  • 10/ 2021 - Xiang will serve as an action editor (area chair) for ACL Rolling Review.
  • 09/ 2021 - INK lab has 3 papers accepted at NeurIPS 2021 (one spotlight, two posters), presenting new results on explanation-based for NLP and continual learning.
  • 08/ 2021 - INK lab has 9 papers accepted at EMNLP 2021 and 3 papers accepted to Findings of EMNLP. Congratulations to all authors!
  • 07/23/ 2021 - Our lab received a research award from USC + Amazon Center on Secure and Trusted Machine Learning to work on federated learning for NLP -- media coverage by Amazon and USC.
  • 07/ 2021 - Xiang serves as area chair for EMNLP 2021, ICLR 2022, and AAAI 2022.
  • 06/ 2021 - USC covers our K-12 outreach activities on explaining to high school kids how AI can be applied to help combat online hate speech.
  • 06/ 2021 - Congratulations to Dongho, Ravi and the other authors for their paper "AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction" wining the Best Paper Award at NAACL TrustNLP workshop!
  • 05/ 2021 - INK lab has 7 papers accepted to ACL 2021 and its findings, spanning over analysis of language models regarding common sense, question answering, and explanation-based learning.
  • 04/ 2021 - Our group won a NSF CAREER award to support the work on teaching machine through human explanations.
  • 04/ 2021 - Our work on probing languages models (NumerSense) and knowledge-aware graph networks (KagNet) got covered by Communications of the ACM.
  • 04/ 2021 - Xiang gave an invited talk at Amazon Alexa AI.
  • 03/ 2021 - INK lab has 4 papers accepted at NAACL 2021, with topics spanning over bias mitigation, open-ended commonsense reasoning, and cross-lingual learning
  • 03/ 2021 - Xiang participated at USC Viterbi's K-12 outreach with Theodore Roosevelt High School and STEM Academy Hollywood.
  • 02/ 2021 - Xiang gave an invited talk at UIUC NLP Seminar on "Teaching Machine through Human Explanations". Slides are available now.
  • 01/ 2021 - Check out our new papers on pre-training for concept-centric common sense and deceiving knowledge graph-augmented models; both accepted to ICLR 2021.
  • 11/ 2020 - Our EMNLP work CommonGen and NumerSense got covered by Tech Xplore, Radio.com, EurekAlert and ScienceDaily.
  • 11/ 2020 - Our team got selected to participate in the 4th Alexa Prize Socialbot Grand Challenge.
  • 10/ 2020 - Xiang is serving as Area Chair for ACL 2021, NAACL 2021 and IJCAI 2021.
  • Sep, 2020 - INK lab has 12 papers accepted to EMNLP 2020 (7 to main conference and 5 to Findings of EMNLP).
  • Aug, 2020 - Xiang will serve as Area Chair for AAAI 2021.
  • Aug, 2020 - Xiang will join a penal in DaSH@KDD 2020 to discuss open challenges in human-computer cooperation in data science, with Azza Adouzied, AnHai Doan, and Marti Hearts.
  • Jul, 2020 - Our ACL work on examining and reducing biases in hate speech detection algorithms is featured by Digital Trends, ScienceDaily, EurekAlert, Unite.AI, and USCViterbi.
  • Jul, 2020 - Xiang will serve as area chair in ICLR 2021.
  • May, 2020 - INK lab members Ryan Moreno and Lily Cao won Undegraduate Outstanding Student Award from USC. Congratulations!
  • May, 2020 - Our paper "NERO: A Neural Rule Grounding Framework for Label Efficient Relation Extraction" received Best Paper Award Runner-up at The Web Conference 2020!
  • Apr, 2020 - INK Lab has four papers accepted at ACL 2020.
  • Apr, 2020 - Our LEAN-LIFE system for label-efficient, explanation-based annotation has been accepted to ACL 2020 demo track.
  • Mar, 2020 - Xiang received a Sony Faculty Research Award to support our work on learning from natural language explanations.
  • Mar, 2020 - Xiang will serve as area chair for ML on NLP in EMNLP 2020.
  • Feb, 2020 - Xiang gave invited talk about "Fast Learning with Explanation and Prior Knowledge" at CMU LTI colloquium and UT Austin.
  • Dec 2019 - INK lab has two papers (spotlight & poster) accepted at ICLR 2020.
  • Nov 2019 - Xiang was invited for a talk at CMU LTI Colloquium in Feb, 2020.
  • Sep 2019- Xiang received a data science research award from Adobe Research to work on neural symbolic learning for recommendation.
  • Aug 2019 - INK lab members have 10 papers accepted at EMNLP 2019. Congratulations!
  • June 2019 - INK lab received a gift award from Snapchat to work on modular neural networks for interpretable NLP.
  • June 2019 - INK lab received a DARPA GAILA grant to work on building AI to mimic children language learning.
  • Mar 2019 - Xiang received a Google Faculty Award for supporting INK lab's research on explainable recommendation.
  • Jan 2019 - INK lab's research on interpretable knowledge reasoning is funded by JP Morgan AI Research Award.
  • Jan 2019 - INK lab received a 2018 Amazon Research Award on neural-symbolic learning for NLP.
  • Jan 2019 - Xiang is serving as area chair (information extraction) of ACL 2019.
  • Dec 2018 - Xiang is organizer of the ICLR 2019 LLD Workshop on learning from limited labeled data.
  • Dec 2018 - Xiang is organizer of the RepL4NLP Workshop at ACL 2019 on representation Learning for NLP. We're soliciting submissions.
  • Nov 2018 - Xiang is organizing the DeepLo Workshop at EMNLP 2019 on deep learning for low-resource NLP.
  • Oct 2018 - Excited to release a new OpenIE system, ReMine. A key distinguishing feature is the ability to learn from entire corpus for measuring cohesiveness of the extraction. (Project | Github)
  • Sep 2018 - Thanks National Science Foundation for supporting INK lab's collaborative research on Modeling the Invention, Dissemination, and Translation of Scientific Concepts.
  • Aug 2018: Three papers accepted to NIPS and EMNLP.
  • Aug 2018: Xiang Ren is co-organizer of AKBC 2019. Please submit your workshop proposals.
  • Aug 2018: Congrats to Yuchen on his two papers accepted to EMNLP!
  • July 2018: Xiang's research monograph on Effort-Light (WeakSupervision) approaches for Information Extraction is published by Morgan & Claypool Publishers.
  • July 2018: Xiang won the 2018 SIGKDD Dissertation Award!
  • May 2018 - Paper on scalable deep generative model for graph accepted to ICML 2018. Github is up.
  • May 2018: A WWW paper won the Best Poster Award Runner-up.
  • Apr 2018: Two papers accepted to KDD and ACL.