Hanjie Chen @hanjie_chen Twitter profile

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Hanjie Chen

@hanjie_chen

1 year

I graduated and was honored to receive the Outstanding Doctoral Student Award!🎓A huge thank you to my amazing advisor @yangfeng_ji !🧡💙Next, I will be excited to join @RiceCompSci as a tenure-track Assistant Professor in 2024 after a postdoc @jhuclsp working with @mdredze !😊

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Hanjie Chen

@hanjie_chen

2 years

📣Excited to announce that I am on the academic job market this year. My research lies in the intersection of natural language processing (NLP) and machine learning (ML), with a focus on developing interpretation techniques to make AI systems trustworthy and reliable.

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Hanjie Chen

@hanjie_chen

4 months

How do LLMs perform in realistic clinical cases? 🔥Introducing two challenging medical QA datasets with high-quality explanations 🤖GPT-4 fell short in handling these challenging tasks 🤔Model explanations are promising but challenging for evaluation 📄

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Hanjie Chen

@hanjie_chen

1 year

How informative are explanations generated by LLMs to explain their predictions? In our #ACL2023 paper, we investigate this research question from an information-theoretic perspective (w/ @faeze_brh @xiangrenNLP @yangfeng_ji @YejinChoinka @swabhz ). Link:

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Hanjie Chen

@hanjie_chen

10 months

Super honored and excited to join the faculty! I look forward to working with amazing colleagues and students at Rice. 🦉✨

Rice Computer Science

@RiceCompSci

10 months

A warm welcome to the five new faculty members who recently joined Rice CS! These new hires bring expertise in theoretical computer science, trustworthy AI, and quantum computing — plus decades of teaching experience.

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Hanjie Chen

@hanjie_chen

2 months

📢Postdoc Position📢 Dr. Xia Hu @huxia and I are looking for a Chairman's Postdoctoral Fellow in Efficient and Trustworthy LLMs @RiceCompSci If you are interested, please do not hesitate to apply:

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Hanjie Chen

@hanjie_chen

2 years

My first in-person NLP conference at #NAACL2022 Cannot say how wonderful it is🤩, I just realized how much I missed in the past pandemic years...I am so glad I got this one and had a great time seeing many old and new friends and chatting with amazing people😄

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Hanjie Chen

@hanjie_chen

6 months

✈️12/10-12/16, I’ll be at #NeurIPS2023 and look forward to connecting. Let’s meet up and chat about research and more!🙂☕️ 📢I am also looking for PhD students to join my group at Rice CS @RiceCompSci in Fall 2024. Please DM if you want to chat at NeurIPS!

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Hanjie Chen

@hanjie_chen

3 years

Our paper “Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation” was accepted at #AAAI2022 . Many thanks to my advisor @yangfeng_ji ❤️ More details are coming soon!

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Hanjie Chen

@hanjie_chen

3 months

✨We have released the datasets in compliance with the license: Many thanks to my collaborators! @FocusV857 Yash Singla @mdredze @jhuclsp

GitHub - HanjieChen/ChallengeClinicalQA: Repo for the pape Benchmarking Large Language Models on...

Repo for the pape Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions - HanjieChen/ChallengeClinicalQA

github.com

Hanjie Chen

@hanjie_chen

4 months

How do LLMs perform in realistic clinical cases? 🔥Introducing two challenging medical QA datasets with high-quality explanations 🤖GPT-4 fell short in handling these challenging tasks 🤔Model explanations are promising but challenging for evaluation 📄

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Hanjie Chen

@hanjie_chen

2 years

The most exciting thing I did this semester is co-designing and teaching the Interpretable Machine Learning course with my advisor @yangfeng_ji It is so rewarding! ❤️ So glad I had this incredible experience during my PhD study. 😄

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Hanjie Chen

@hanjie_chen

3 months

Super fun project on investigating the prediction behavior of LLMs from a psychological perspective🧠 🚨GPT-4 can fall into a cognitive trap and make mistakes even when it has the correct knowledge, like us humans🤯 ✅A simple hint helps Check out our paper for more details👇

Fred Oswald

@FredOswald

3 months

Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs @PanDwww @ZilinXiao2 @hanjie_chen

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Hanjie Chen

@hanjie_chen

3 years

Very excited to share that our paper got accepted at #NAACL2021 🎉 Many thanks to my advisor @yangfeng_ji and co-authors (my internship mentors at IBM last summer) @chulaka_g @JatinGanhotra , Song Feng, Hui Wan, Sachindra Joshi 🥰

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Hanjie Chen

@hanjie_chen

3 years

Our paper will be presented in session 11B-Oral/Poster #NAACL2021 (June 8th 22:40 EST). Welcome to join us!🙂 Check out the paper: Code:

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Hanjie Chen

@hanjie_chen

4 months

It is natural for rationales to inadvertently expose the label. What we care about is the new information in rationales that justifies the label beyond mere leakage.🧐 How do we measure the new information when label leakage exists? Check out our robust evaluation metric, RORA!📢

Yining Lu

@Yining__Lu

4 months

📢 New Preprint📢 Do you realize your rationale evaluation model might favor "cheating" rationales that merely parrot the answer? Check out RORA, our new information-theoretic metric for the evaluation of rationales that is robust against label leakages.

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Hanjie Chen

@hanjie_chen

2 years

🌟Check out our work on Uncertainty-based Self-training for Few-shot Dialogue Generation #EMNLP2022 📢

Wanyu Du

@WanyuDu

2 years

🥳Excited to share our work at #EMNLP2022 Findings! We propose a two-phase self-training framework for few-shot MR-to-Text generation. Fig.1 shows examples of our pseudo-labeled data. Fig.2 is our framework and Fig.3 compares our model outputs with other models.

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Hanjie Chen

@hanjie_chen

11 months

My coauthors will present this work #ACL2023 soon, 14:00-15:30, Frontenac Ballroom and Queen’s Quay. Come and say hi 👋

Hanjie Chen

@hanjie_chen

1 year

How informative are explanations generated by LLMs to explain their predictions? In our #ACL2023 paper, we investigate this research question from an information-theoretic perspective (w/ @faeze_brh @xiangrenNLP @yangfeng_ji @YejinChoinka @swabhz ). Link:

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Hanjie Chen

@hanjie_chen

9 months

Join us! Mark would be very supportive and encouraging in guiding you toward a professional position.

Mark Dredze

@mdredze

9 months

I'm looking for a postdoc! Topics: LLMs, text generation, QA, medical NLP. Join two amazing postdocs in my group: @hanjie_chen (phd @CS_UVA , incoming prof @RiceCompSci ) and @sharonlevy21 (phd @ucsbNLP , incoming prof @RutgersU ) Apply: 🙏retweet Questions?

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Hanjie Chen

@hanjie_chen

1 year

🥳❤️🧡💙

Yangfeng Ji

@yangfeng_ji

1 year

UVa ILP group dinner, the first one since 2020. One of the group members is leaving us for a bright future and one of them will rejoin us for her PhD journey! @UVA_ILP

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Hanjie Chen

@hanjie_chen

3 years

The paper “Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks” and code are coming soon!

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Hanjie Chen

@hanjie_chen

2 years

If you think I will be a good fit for your department, please email (hc9mx @virginia .edu) or DM me! ✨ More details:

Hanjie Chen

@hanjie_chen

2 years

📣Excited to announce that I am on the academic job market this year. My research lies in the intersection of natural language processing (NLP) and machine learning (ML), with a focus on developing interpretation techniques to make AI systems trustworthy and reliable.

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Hanjie Chen

@hanjie_chen

1 year

Our proposed metric REV is able to penalize vacuous rationales, provides finer-grained evaluations on the new, label-relevant information in rationales, and offers deeper insights into models’ reasoning and prediction processes, including chain-of-thought.

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Hanjie Chen

@hanjie_chen

2 years

Thank you for your nice words and support!

Yangfeng Ji

@yangfeng_ji

2 years

Hanjie has done many impressive works on explainable NLP and its applications to model robustness and uncertainty. Besides, she is passionate about both teaching and research. Check out her webpage if you think she may be a good fit for your department

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Hanjie Chen

@hanjie_chen

4 months

@DrQiaoJin @mdredze @FocusV857 Thanks! Yes, we plan to release the datasets in compliance with license.

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Hanjie Chen

@hanjie_chen

2 years

Super cool 🤩

Zhaofeng Wu @ NAACL

@zhaofeng_wu

2 years

If you are applying to a CS PhD program, check out our new -- we hope it could be a helpful resource for you! If you have gone through this process, we invite you to share your statement too!

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Hanjie Chen

@hanjie_chen

6 months