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Jackie C. K. Cheung
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2020 – today
- 2024
[c94]Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo:
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. AAAI 2024: 17880-17888- [c93]Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban:
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes. AAAI 2024: 23084-23091 - [c92]Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida:
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation. ACL (1) 2024: 12696-12717 - [c91]Maxime Darrin, Ines Arous, Pablo Piantanida, Jackie Chi Kit Cheung:
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews. ACL (1) 2024: 12737-12752 - [c90]Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective. ACL (Findings) 2024: 15380-15395 - [c89]Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie Chi Kit Cheung, Golnoosh Farnadi:
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. ACL (Findings) 2024: 15694-15710 - [c88]Yu Lu Liu, Su Lin Blodgett, Jackie C. K. Cheung, Vera Liao, Alexandra Olteanu, Ziang Xiao:
ECBD: Evidence-Centered Benchmark Design for NLP. ACL (1) 2024: 16349-16365 - [c87]Ian Porada, Xiyuan Zou, Jackie Chi Kit Cheung:
A Controlled Reevaluation of Coreference Resolution Models. LREC/COLING 2024: 256-263 - [c86]Yu Bai, Xiyuan Zou, Heyan Huang, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie C. K. Cheung:
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling. EMNLP 2024: 5908-5930 - [c85]Lei Yu, Meng Cao, Jackie C. K. Cheung, Yue Dong:
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations. EMNLP (Findings) 2024: 7943-7956 - [c84]Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou:
Ensemble Distillation for Unsupervised Constituency Parsing. ICLR 2024 - [c83]Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian:
Successor Features for Efficient Multi-Subject Controlled Text Generation. ICML 2024 - [c82]Xiyuan Zou, Yiran Li, Ian Porada, Jackie C. K. Cheung:
Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution. NAACL (Short Papers) 2024: 212-219 - [i66]Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban:
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes. CoRR abs/2401.05914 (2024) - [i65]Yu Bai, Heyan Huang, Cesare Spinoso Di Piano, Marc-Antoine Rondeau, Sanxing Chen, Yang Gao, Jackie Chi Kit Cheung:
Analyzing Task-Encoding Tokens in Large Language Models. CoRR abs/2401.11323 (2024) - [i64]Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida:
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation. CoRR abs/2402.19457 (2024) - [i63]Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie C. K. Cheung, Golnoosh Farnadi
:
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. CoRR abs/2403.13213 (2024) - [i62]Lei Yu, Meng Cao, Jackie Chi Kit Cheung, Yue Dong:
Mechanisms of non-factual hallucinations in language models. CoRR abs/2403.18167 (2024) - [i61]Ian Porada, Xiyuan Zou, Jackie Chi Kit Cheung:
A Controlled Reevaluation of Coreference Resolution Models. CoRR abs/2404.00727 (2024) - [i60]Maxime Darrin, Ines Arous, Pablo Piantanida, Jackie C. K. Cheung:
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews. CoRR abs/2406.07359 (2024) - [i59]Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie C. K. Cheung, Pablo Piantanida:
When is an Embedding Model More Promising than Another? CoRR abs/2406.07640 (2024) - [i58]Yu Lu Liu, Su Lin Blodgett, Jackie Chi Kit Cheung, Q. Vera Liao, Alexandra Olteanu, Ziang Xiao:
ECBD: Evidence-Centered Benchmark Design for NLP. CoRR abs/2406.08723 (2024) - [i57]Yu Bai, Xiyuan Zou, Heyan Huang, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie Chi Kit Cheung:
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling. CoRR abs/2406.12018 (2024) - [i56]Ian Porada, Jackie Chi Kit Cheung:
Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolution. CoRR abs/2410.09448 (2024) - 2023
- [c81]Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni, Jackie Chi Kit Cheung:
Varta: A Large-Scale Headline-Generation Dataset for Indic Languages. ACL (Findings) 2023: 3468-3492 - [c80]Akshatha Arodi, Martin Pömsl, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, Jackie Chi Kit Cheung:
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources. ACL (1) 2023: 15088-15108 - [c79]Sabina Elkins, Ekaterina Kochmar, Iulian Serban, Jackie Chi Kit Cheung:
How Useful Are Educational Questions Generated by Large Language Models? AIED (Posters/Late Breaking Results/...) 2023: 536-542 - [c78]Aishik Chakraborty, Jackie C. K. Cheung, Timothy J. O'Donnell:
Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests. BlackboxNLP@EMNLP 2023: 357-366 - [c77]Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler:
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. EMNLP (Findings) 2023: 6246-6261 - [c76]Zichao Li, Ines Arous, Siva Reddy, Jackie Chi Kit Cheung:
Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness. EMNLP (Findings) 2023: 7623-7636 - [c75]Andrei Mircea, Jackie C. K. Cheung:
Balaur: Language Model Pretraining with Lexical Semantic Relations. EMNLP (Findings) 2023: 10054-10070 - [c74]Jad Kabbara, Jackie Chi Kit Cheung:
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions. EMNLP (Findings) 2023: 10482-10494 - [c73]Cesare Spinoso Di Piano, Samira Abbasgholizadeh Rahimi, Jackie Chi Kit Cheung:
Qualitative Code Suggestion: A Human-Centric Approach to Qualitative Coding. EMNLP (Findings) 2023: 14887-14909 - [c72]Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian:
Systematic Rectification of Language Models via Dead-end Analysis. ICLR 2023 - [i55]Kushal Arora, Timothy J. O'Donnell, Doina Precup, Jason Weston, Jackie Chi Kit Cheung:
The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation. CoRR abs/2302.06784 (2023) - [i54]Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung:
Learning with Rejection for Abstractive Text Summarization. CoRR abs/2302.08531 (2023) - [i53]Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo:
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection. CoRR abs/2302.09852 (2023) - [i52]Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung, Samira Shabanian:
Systematic Rectification of Language Models via Dead-end Analysis. CoRR abs/2302.14003 (2023) - [i51]Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Investigating Failures to Generalize for Coreference Resolution Models. CoRR abs/2303.09092 (2023) - [i50]Sabina Elkins, Ekaterina Kochmar, Jackie Chi Kit Cheung, Iulian Serban:
How Useful are Educational Questions Generated by Large Language Models? CoRR abs/2304.06638 (2023) - [i49]Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose Maria Alonso-Moral, Mohammad Arvan, Jackie Chi Kit Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang:
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - [i48]Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni, Jackie Chi Kit Cheung:
Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages. CoRR abs/2305.05858 (2023) - [i47]Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Chi Kit Cheung, Lili Mou:
Ensemble Distillation for Unsupervised Constituency Parsing. CoRR abs/2310.01717 (2023) - [i46]Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung, Samira Shabanian:
Successor Features for Efficient Multisubject Controlled Text Generation. CoRR abs/2311.04921 (2023) - [i45]Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler:
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. CoRR abs/2311.11103 (2023) - [i44]Zichao Li, Ines Arous, Siva Reddy, Jackie C. K. Cheung:
Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness. CoRR abs/2312.01858 (2023) - 2022
- [c71]Kushal Arora, Layla El Asri, Hareesh Bahuleyan, Jackie Chi Kit Cheung:
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation. ACL (Findings) 2022: 700-710 - [c70]Zichao Li, Prakhar Sharma, Xing Han Lu, Jackie Chi Kit Cheung, Siva Reddy:
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment. ACL (Findings) 2022: 926-937 - [c69]Meng Cao, Yue Dong, Jackie Chi Kit Cheung:
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization. ACL (1) 2022: 3340-3354 - [c68]Michaela Socolof, Jackie Chi Kit Cheung, Michael Wagner, Timothy J. O'Donnell:
Characterizing Idioms: Conventionality and Contingency. ACL (1) 2022: 4024-4037 - [c67]Sabina Elkins, Ekaterina Kochmar, Robert Belfer, Iulian Serban, Jackie Chi Kit Cheung:
Question Personalization in an Intelligent Tutoring System. AIED (2) 2022: 586-590 - [c66]Jad Kabbara, Jackie Chi Kit Cheung:
Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences. COLING 2022: 779-785 - [c65]José Ángel González, Annie Louis, Jackie Chi Kit Cheung:
Source-summary Entity Aggregation in Abstractive Summarization. COLING 2022: 6019-6034 - [c64]Malik H. Altakrori, Thomas Scialom, Benjamin C. M. Fung, Jackie Chi Kit Cheung:
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques. EMNLP 2022: 2391-2406 - [c63]Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung:
Learning with Rejection for Abstractive Text Summarization. EMNLP 2022: 9768-9780 - [c62]Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung:
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. NAACL-HLT 2022: 4550-4557 - [i43]Kushal Arora, Layla El Asri, Hareesh Bahuleyan, Jackie Chi Kit Cheung:
Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation. CoRR abs/2204.01171 (2022) - [i42]Zichao Li, Prakhar Sharma, Xing Han Lu, Jackie Chi Kit Cheung, Siva Reddy:
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment. CoRR abs/2204.03025 (2022) - [i41]Yu Lu Liu, Rachel Bawden, Thomas Scaliom, Benoît Sagot, Jackie Chi Kit Cheung:
MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification. CoRR abs/2205.12394 (2022) - [i40]Sabina Elkins, Robert Belfer, Ekaterina Kochmar, Iulian Serban, Jackie Chi Kit Cheung:
Question Personalization in an Intelligent Tutoring System. CoRR abs/2206.14145 (2022) - [i39]Akshatha Arodi, Martin Pömsl, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, Jackie Chi Kit Cheung:
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems. CoRR abs/2212.08192 (2022) - 2021
- [c61]Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung:
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. AAAI 2021: 15534-15544 - [c60]Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi:
On-the-Fly Attention Modulation for Neural Generation. ACL/IJCNLP (Findings) 2021: 1261-1274 - [c59]Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J. D. Prince, Yanshuai Cao:
Optimizing Deeper Transformers on Small Datasets. ACL/IJCNLP (1) 2021: 2089-2102 - [c58]Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
ADEPT: An Adjective-Dependent Plausibility Task. ACL/IJCNLP (1) 2021: 7117-7128 - [c57]Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung:
Discourse-Aware Unsupervised Summarization for Long Scientific Documents. EACL 2021: 1089-1102 - [c56]Jad Kabbara, Jackie Chi Kit Cheung:
Post-Editing Extractive Summaries by Definiteness Prediction. EMNLP (Findings) 2021: 3682-3692 - [c55]Akshatha Arodi, Jackie Chi Kit Cheung:
Textual Time Travel: A Temporally Informed Approach to Theory of Mind. EMNLP (Findings) 2021: 4162-4172 - [c54]Malik H. Altakrori, Jackie Chi Kit Cheung, Benjamin C. M. Fung:
The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution. EMNLP (Findings) 2021: 4242-4256 - [c53]Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Modeling Event Plausibility with Consistent Conceptual Abstraction. NAACL-HLT 2021: 1732-1743 - [c52]Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung:
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. SIGIR 2021: 428-437 - [i38]Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi:
On-the-Fly Attention Modularization for Neural Generation. CoRR abs/2101.00371 (2021) - [i37]Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung:
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. CoRR abs/2103.07785 (2021) - [i36]Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung:
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. CoRR abs/2104.08419 (2021) - [i35]Malik H. Altakrori, Jackie Chi Kit Cheung, Benjamin C. M. Fung:
The Topic Confusion Task: A Novel Scenario for Authorship Attribution. CoRR abs/2104.08530 (2021) - [i34]Michaela Socolof, Jackie Chi Kit Cheung, Michael Wagner, Timothy J. O'Donnell:
Characterizing Idioms: Conventionality and Contingency. CoRR abs/2104.08664 (2021) - [i33]Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Modeling Event Plausibility with Consistent Conceptual Abstraction. CoRR abs/2104.10247 (2021) - [i32]Meng Cao, Yue Dong, Jackie Chi Kit Cheung:
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization. CoRR abs/2109.09784 (2021) - [i31]Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung:
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. CoRR abs/2112.08583 (2021) - 2020
- [j2]Kushal Arora, Aishik Chakraborty, Jackie Chi Kit Cheung:
Learning Lexical Subspaces in a Distributional Vector Space. Trans. Assoc. Comput. Linguistics 8: 311-329 (2020) - [c51]Jingyi He, Konstantinos C. Tsiolis, Kian Kenyon-Dean, Jackie Chi Kit Cheung:
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms. COLING 2020: 1229-1241 - [c50]Ali Emami, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
An Analysis of Dataset Overlap on Winograd-Style Tasks. COLING 2020: 5855-5865 - [c49]Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton:
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. EMNLP (1) 2020: 5730-5746 - [c48]Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung:
Factual Error Correction for Abstractive Summarization Models. EMNLP (1) 2020: 6251-6258 - [c47]Clément Jumel, Annie Louis, Jackie Chi Kit Cheung:
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization. EMNLP (1) 2020: 8031-8050 - [c46]Kian Kenyon-Dean, Edward Newell, Jackie Chi Kit Cheung:
Deconstructing word embedding algorithms. EMNLP (1) 2020: 8479-8484 - [c45]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. EMNLP (1) 2020: 9320-9331 - [c44]Peng Xu, Jackie Chi Kit Cheung, Yanshuai Cao:
On Variational Learning of Controllable Representations for Text without Supervision. ICML 2020: 10534-10543 - [c43]Abhilasha Ravichander, Eduard H. Hovy, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT. *SEM@COLING 2020: 88-102 - [c42]Manuel Sage, Pietro Cruciata, Raed Abdo, Jackie Chi Kit Cheung, Yaoyao Fiona Zhao:
Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles. SwissText/KONVENS 2020 - [i30]Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung:
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization. CoRR abs/2005.00513 (2020) - [i29]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. CoRR abs/2010.02443 (2020) - [i28]Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton:
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. CoRR abs/2010.03526 (2020) - [i27]Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung:
Factual Error Correction for Abstractive Summarization Models. CoRR abs/2010.08712 (2020) - [i26]Jingyi He, Konstantinos C. Tsiolis, Kian Kenyon-Dean, Jackie Chi Kit Cheung:
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms. CoRR abs/2011.02944 (2020) - [i25]Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
An Analysis of Dataset Overlap on Winograd-Style Tasks. CoRR abs/2011.04767 (2020) - [i24]Kian Kenyon-Dean, Edward Newell, Jackie Chi Kit Cheung:
Deconstructing word embedding algorithms. CoRR abs/2011.07013 (2020) - [i23]Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, Jackie Chi Kit Cheung, Yanshuai Cao:
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing. CoRR abs/2012.15355 (2020)
2010 – 2019
- 2019
- [c41]Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung:
Learning Multi-Task Communication with Message Passing for Sequence Learning. AAAI 2019: 4360-4367 - [c40]Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-Local Neural Networks for Sequence Learning. AAAI 2019: 6762-6769 - [c39]Weiwei Zhang, Jackie Chi Kit Cheung, Joel Oren:
Generating Character Descriptions for Automatic Summarization of Fiction. AAAI 2019: 7476-7483 - [c38]Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung:
A Cross-Domain Transferable Neural Coherence Model. ACL (1) 2019: 678-687 - [c37]Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung:
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. ACL (1) 2019: 3393-3402 - [c36]Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung:
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. ACL (1) 2019: 3952-3961 - [c35]Meng Cao, Jackie Chi Kit Cheung:
Referring Expression Generation Using Entity Profiles. EMNLP/IJCNLP (1) 2019: 3161-3170 - [c34]Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG. EMNLP/IJCNLP (1) 2019: 3380-3385 - [c33]Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis:
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. EMNLP/IJCNLP (1) 2019: 6018-6023 - [c32]Krtin Kumar, Jackie Chi Kit Cheung:
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples. NAACL-HLT (1) 2019: 3949-3954 - [i22]Jingyun Liu, Jackie Chi Kit Cheung, Annie Louis:
What comes next? Extractive summarization by next-sentence prediction. CoRR abs/1901.03859 (2019) - [i21]Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung:
A Cross-Domain Transferable Neural Coherence Model. CoRR abs/1905.11912 (2019) - [i20]Peng Xu, Yanshuai Cao, Jackie Chi Kit Cheung:
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement. CoRR abs/1905.11975 (2019) - [i19]Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung:
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. CoRR abs/1906.08104 (2019) - [i18]Meng Cao, Jackie Chi Kit Cheung:
Referring Expression Generation Using Entity Profiles. CoRR abs/1909.01528 (2019) - [i17]Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis:
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. CoRR abs/1909.04028 (2019) - [i16]Teng Long, Yanshuai Cao, Jackie Chi Kit Cheung:
Preventing Posterior Collapse in Sequence VAEs with Pooling. CoRR abs/1911.03976 (2019) - [i15]Ian Porada, Kaheer Suleman, Jackie Chi Kit Cheung:
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text. CoRR abs/1911.05689 (2019) - [i14]Edward Newell, Kian Kenyon-Dean, Jackie Chi Kit Cheung:
Deconstructing and reconstructing word embedding algorithms. CoRR abs/1911.13280 (2019) - 2018
- [c31]Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung:
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers. ACL (1) 2018: 2747-2755 - [c30]Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths:
A Hierarchical Neural Attention-based Text Classifier. EMNLP 2018: 817-823 - [c29]Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Knowledge Hunting Framework for Common Sense Reasoning. EMNLP 2018: 1949-1958 - [c28]