Zhijing Jin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 80

Top Topics

Semantic Representations

Natural Language

Causal Reasoning

Top Venues

EMNLP (Findings)

Publications

Ishan Agrawal, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf
CausalCite: A Causal Formulation of Paper Citations. ACL (Findings) (2024)
Flavio Schneider, Ojasv Kamal, Zhijing Jin, Bernhard Schölkopf
Moûsai: Efficient Text-to-Music Diffusion Models. ACL (1) (2024)
Zhijing Jin, Sydney Levine, Max Kleiman-Weiner, Giorgio Piatti, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf
Multilingual Trolley Problems for Language Models. CoRR (2024)
Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea
Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. CoRR (2024)
Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan
On the Causal Nature of Sentiment Analysis. CoRR (2024)
Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell
On Affine Homotopy between Language Encoders. CoRR (2024)
Shaobo Cui, Zhijing Jin, Bernhard Schölkopf, Boi Faltings
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning. CoRR (2024)
Jiarui Liu, Wenkai Li, Zhijing Jin, Mona T. Diab
Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. CoRR (2024)
Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. CoRR (2024)
Zhijing Jin, Yuen Chen, Fernando Gonzalez Adauto, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, Mona T. Diab
Analyzing the Role of Semantic Representations in the Era of Large Language Models. NAACL-HLT (2024)
Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. ACL (1) (2024)
Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. CoRR (2024)
Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf
Can Large Language Models Infer Causation from Correlation? ICLR (2024)
Jiarui Liu, Wenkai Li, Zhijing Jin, Mona T. Diab
Automatic Generation of Model and Data Cards: A Step Towards Responsible AI. NAACL-HLT (2024)
Zhijing Jin, Yuen Chen, Fernando Gonzalez, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, Mona T. Diab
Analyzing the Role of Semantic Representations in the Era of Large Language Models. CoRR (2024)
Abhinav Lalwani, Lovish Chopra, Christopher Hahn, Caroline Trippel, Zhijing Jin, Mrinmaya Sachan
NL2FOL: Translating Natural Language to First-Order Logic for Logical Fallacy Detection. CoRR (2024)
Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan
Implicit Personalization in Language Models: A Systematic Study. CoRR (2024)
Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. LREC/COLING (2024)
Roberto Ceraolo, Dmitrii Kharlapenko, Amélie Reymond, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin
CausalQuest: Collecting Natural Causal Questions for AI Agents. CoRR (2024)
Fernando Gonzalez, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. CoRR (2023)
Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. CoRR (2023)
Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick
Membership Inference Attacks against Language Models via Neighbourhood Comparison. ACL (Findings) (2023)
David F. Jenny, Yann Billeter, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin
Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures. CoRR (2023)
Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. ACL (1) (2023)
Badr AlKhamissi, Siddharth Verma, Ping Yu, Zhijing Jin, Asli Celikyilmaz, Mona T. Diab
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models. CoRR (2023)
Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. EMNLP (Findings) (2023)
Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. CoRR (2023)
Zhijing Jin, Rada Mihalcea
Natural Language Processing for Policymaking. CoRR (2023)
Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. ACL (1) (2023)
Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. CoRR (2023)
Yiwen Ding, Jiarui Liu, Zhiheng Lyu, Kun Zhang, Bernhard Schölkopf, Zhijing Jin, Rada Mihalcea
Voices of Her: Analyzing Gender Differences in the AI Publication World. CoRR (2023)
Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf
Can Large Language Models Infer Causation from Correlation? CoRR (2023)
Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf
CausalCite: A Causal Formulation of Paper Citations. CoRR (2023)
Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5 (10) (2023)
Zhiheng Lyu, Zhijing Jin, Justus Mattern, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf
Psychologically-Inspired Causal Prompts. CoRR (2023)
Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick
Membership Inference Attacks against Language Models via Neighbourhood Comparison. CoRR (2023)
Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. NeurIPS (2023)
Flavio Schneider, Zhijing Jin, Bernhard Schölkopf
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion. CoRR (2023)
Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea
A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models. CoRR (2023)
Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissi, Siddharth Verma, Zhijing Jin, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz
ALERT: Adapt Language Models to Reasoning Tasks. ACL (1) (2023)
Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR (2022)
Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. CoRR (2022)
Daphna Keidar, Andreas Opedal, Zhijing Jin, Mrinmaya Sachan
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. CoRR (2022)
Daphna Keidar, Andreas Opedal, Zhijing Jin, Mrinmaya Sachan
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. ACL (1) (2022)
Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schölkopf, Mrinmaya Sachan
Differentially Private Language Models for Secure Data Sharing. CoRR (2022)
Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf
Logical Fallacy Detection. CoRR (2022)
Anna Costello, Ekaterina Fedorova, Zhijing Jin, Rada Mihalcea
Editing a Woman's Voice. CoRR (2022)
Justus Mattern, Zhijing Jin, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf
Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing. CoRR (2022)
Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. CoRR (2022)
Sydney Levine, Zhijing Jin
Competing perspectives on building ethical AI: psychological, philosophical, and computational approaches. CogSci (2022)
Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. NeurIPS (2022)
Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
Deep Learning for Text Style Transfer: A Survey. Comput. Linguistics 48 (1) (2022)
Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. NAACL-HLT (2022)
Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schölkopf, Mrinmaya Sachan
Differentially Private Language Models for Secure Data Sharing. EMNLP (2022)
Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. CoRR (2022)
Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf
Logical Fallacy Detection. EMNLP (Findings) (2022)
Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. EMNLP (1) (2021)
Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. CoRR (2021)
Hongru Wang, Zhijing Jin, Jiarun Cao, Gabriel Pui Cheong Fung, Kam-Fai Wong
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning. CoRR (2021)
Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. ACL/IJCNLP (Findings) (2021)
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. AISTATS (2021)
Zhijing Jin, Zeyu Peng, Tejas Vaidhya, Bernhard Schölkopf, Rada Mihalcea
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States. EMNLP (Findings) (2021)
Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. CoRR (2021)
Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. CoRR (2020)
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. CoRR (2020)
Qipeng Guo, Zhijing Jin, Xipeng Qiu, Weinan Zhang, David Wipf, Zheng Zhang
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training. CoRR (2020)
Zhijing Jin, Yongyi Yang, Xipeng Qiu, Zheng Zhang
Relation of the Relations: A New Paradigm of the Relation Extraction Problem. CoRR (2020)
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. CoRR (2020)
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. AAAI (2020)
Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
Deep Learning for Text Style Transfer: A Survey. CoRR (2020)
Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. EMNLP (1) (2020)
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation. CoRR (2020)
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. ACL (2020)
Zhijing Jin, Qipeng Guo, Xipeng Qiu, Zheng Zhang
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation. COLING (2020)
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment. CoRR (2019)
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay
GraphIE: A Graph-Based Framework for Information Extraction. NAACL-HLT (1) (2019)
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation. EMNLP/IJCNLP (1) (2019)
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus
Unsupervised Text Style Transfer via Iterative Matching and Translation. CoRR (2019)
Zhijing Jin, Tristan Swedish, Ramesh Raskar
3D Traffic Simulation for Autonomous Vehicles in Unity and Python. CoRR (2018)
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay
GraphIE: A Graph-Based Framework for Information Extraction. CoRR (2018)