Catherine Chen
@catherineschen
Followers
152
Following
145
Statuses
31
CS PhD Candidate @BrownCSDept @health_nlp | Explainability, IR, NLP | ex-SWE at FreeWheel (she/her)
Providence, RI
Joined July 2022
Super excited to share our perspective/full papers that were accepted at #SIGIR2024! 1. "Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models" w/@jack_merullo_ @health_nlp proposes a new method for IR interpretability
2
10
44
RT @apoorvkh: Wondering how long it takes to train a 1B-param LM from scratch on your GPUs? 🧵 See our paper to learn about the current sta…
0
100
0
RT @amuuueller: I'm recruiting PhD students for our new lab, coming to Boston University in Fall 2025! Our lab aims to understand, improve…
0
193
0
RT @JackMcK1999: At 15:00 on 30 Sept, Catherine Chen @catherineschen from Brown University will give a talk entitled "Advancing Explainable…
0
3
0
@ShirKi @SIGIRConf Great to meet you at SIGIR! Could @amilah_dul and I be added to the list? Thanks!
1
0
1
I’m presenting our explainability papers today!👇First stop by at 10:30 during T1.1 (Senate) to learn about our user-centric explainability metric, and then at 1:30 during T2.3 (South American B) for our perspective on new directions for XIR research!
More news on #SIGIR2024: @catherineschen presents two papers today! 1. "Evaluating Search System Explainability with Psychometrics and Crowdsourcing" 2. "Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models" w/ @jack_merullo_
0
2
19
I’ll be presenting our Perspectives Paper on causal interventions for reverse engineering relevance, and our full paper introducing an evaluation metric for search system explainability (both on Tues!)
0
0
4
RT @WilliamRudmanjr: Mechanistic interpretability has advanced our understanding of LLMs, but what about multimodal models? Introducing NOT…
0
6
0
0
0
0
@SerenaLBooth @BrownUniversity @BrownCSDept Congrats Serena!! Very excited to have you join us this fall!!
0
0
0
RT @apoorvkh: Calling all academic AI researchers! 🚨 We are conducting a survey on compute resources. We want to help the community better…
0
31
0
2. “Evaluating Search System Explainability with Psychometrics and Crowdsourcing” proposes a user-centered metric for IR system explainability (the first project I worked on during my PhD!). Looking forward to sharing our work in DC this summer!
0
1
9
RT @health_nlp: Our lab is looking for a passionate postdoctoral researcher with a background in language modeling. Come join us in Tübinge…
0
9
0
RT @jack_merullo_: Our #ICLR2024 paper was accepted as a spotlight: We look at whether language models reuse attention heads for functional…
0
19
0
Very fortunate to be able to attend a conference with so many lab mates who are all doing super cool work!
✨ Exciting times at #EMNLP2023 in #Singapore 🇸🇬🌏 with EIGHT of our Lab members! We showcased our research with FOUR papers across three poster sessions and one oral presentation. 📚🎙️ Check out the papers in the thread below! ⬇️ #HealthNLPLab #NLP #AI #Research #ACL
0
0
8
@WilliamRudmanjr and I are presenting our poster “Outlier Dimensions Encode Task Specific Knowledge” at 11am today! Come learn about how a single dimension in embedding space encodes enough knowledge to perform binary classification tasks! #EMNLP2023
0
0
4