Extractive vs. NLG-based Abstractive Summarization of Evaluative Text: The Effect of Corpus Controversiality. - Giuseppe Carenini; Jackie Chi Kit Cheung (INLG, 2008)

Topological Field Parsing of German. - Jackie Chi Kit Cheung; Gerald Penn (ACL/IJCNLP, 2009)

Entity-Based Local Coherence Modelling Using Topological Fields. - Jackie Chi Kit Cheung; Gerald Penn (ACL, 2010)

Utilizing Extra-Sentential Context for Parsing. - Jackie Chi Kit Cheung; Gerald Penn (EMNLP, 2010)

Evaluating Distributional Models of Semantics for Syntactically Invariant Inference. - Jackie Chi Kit Cheung; Gerald Penn (EACL, 2012)

Unsupervised Detection of Downward-Entailing Operators By Maximizing Classification Certainty. - Jackie Chi Kit Cheung; Gerald Penn (EACL, 2012)

Sequence clustering and labeling for unsupervised query intent discovery. - Jackie Chi Kit Cheung; Xiao Li (WSDM, 2012)

Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors. - Jackie Chi Kit Cheung; Gerald Penn (ACL (1), 2013)

Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain. - Jackie Chi Kit Cheung; Gerald Penn (ACL (1), 2013)

Probabilistic Frame Induction. - Jackie Chi Kit Cheung; Hoifung Poon; Lucy Vanderwende (HLT-NAACL, 2013)

Multi-Document Summarization of Evaluative Text. - Giuseppe Carenini; Jackie Chi Kit Cheung; Adam Pauls (Comput. Intell., 2013)

Unsupervised Sentence Enhancement for Automatic Summarization. - Jackie Chi Kit Cheung; Gerald Penn (EMNLP, 2014)

Concept Extensions as the Basis for Vector-Space Semantics: Combining Distributional and Ontological Information about Entities. - Jackie Chi Kit Cheung (CVSC, 2015)

Indicative Tweet Generation: An Extractive Summarization Problem? - Priya Sidhaye; Jackie Chi Kit Cheung (EMNLP, 2015)

Distributional Semantics for Robust Automatic Summarization. - Jackie Chi Kit Cheung (2015)

Accurate Pinyin-English Codeswitched Language Identification. - Meng Xuan Xia; Jackie Chi Kit Cheung (CodeSwitch@EMNLP, 2016)

Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data. - Teng Long; Ryan Lowe; Jackie Chi Kit Cheung; Doina Precup (ACL (2), 2016)

Predicting sentential semantic compatibility for aggregation in text-to-text generation. - Victor Chenal; Jackie Chi Kit Cheung (COLING, 2016)

Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs. - Jad Kabbara; Yulan Feng; Jackie Chi Kit Cheung (COLING, 2016)

Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms. - Kian Kenyon-Dean; Jackie Chi Kit Cheung; Doina Precup (EMNLP, 2016)

Computer-Assisted Conceptual Analysis of Textual Data as Applied to Philosophical Corpuses. - Jean-Guy Meunier; Louis Chartrand; Jackie Chi Kit Cheung; Mathieu Valette; Marie-Noëlle Bayle (DH, 2017)

World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions. - Teng Long; Emmanuel Bengio; Ryan Lowe; Jackie Chi Kit Cheung; Doina Precup (EMNLP, 2017)

Detecting Large Concept Extensions for Conceptual Analysis. - Louis Chartrand; Jackie Chi Kit Cheung; Mohamed Bouguessa (MLDM, 2017)

Nifty Assignments. - Nick Parlante; Julie Zelenski; Dave Feinberg; Kunal Mishra; Josh Hug; Kevin Wayne; Michael Guerzhoy; Jackie Chi Kit Cheung; François Pitt (SIGCSE, 2017)

Predicting Success in Goal-Driven Human-Human Dialogues. - Michael Noseworthy; Jackie Chi Kit Cheung; Joelle Pineau (SIGDIAL Conference, 2017)

Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers. - Andre Cianflone; Yulan Feng; Jad Kabbara; Jackie Chi Kit Cheung (ACL (1), 2018)

BanditSum: Extractive Summarization as a Contextual Bandit. - Yue Dong 002; Yikang Shen; Eric Crawford; Herke van Hoof; Jackie Chi Kit Cheung (EMNLP, 2018)

A Knowledge Hunting Framework for Common Sense Reasoning. - Ali Emami; Noelia De La Cruz; Adam Trischler; Kaheer Suleman; Jackie Chi Kit Cheung (EMNLP, 2018)

A Hierarchical Neural Attention-based Text Classifier. - Koustuv Sinha; Yue Dong 002; Jackie Chi Kit Cheung; Derek Ruths (EMNLP, 2018)

Constructing a Lexicon of Relational Nouns. - Edward Newell; Jackie Chi Kit Cheung (LREC, 2018)

A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge. - Ali Emami; Adam Trischler; Kaheer Suleman; Jackie Chi Kit Cheung (NAACL-HLT (Student Research Workshop), 2018)

Coarse Lexical Frame Acquisition at the Syntax-Semantics Interface Using a Latent-Variable PCFG Model. - Laura Kallmeyer; Behrang QasemiZadeh; Jackie Chi Kit Cheung (*SEM@NAACL-HLT, 2018)

Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization. - Kian Kenyon-Dean; Jackie Chi Kit Cheung; Doina Precup (*SEM@NAACL-HLT, 2018)

Commonsense mining as knowledge base completion? A study on the impact of novelty. - Stanislaw Jastrzebski; Dzmitry Bahdanau; Seyedarian Hosseini; Michael Noukhovitch; Yoshua Bengio; Jackie Chi Kit Cheung (CoRR, 2018)

The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. - Ali Emami; Paul Trichelair; Adam Trischler; Kaheer Suleman; Hannes Schulz; Jackie Chi Kit Cheung (CoRR, 2018)

On the Evaluation of Common-Sense Reasoning in Natural Language Understanding. - Paul Trichelair; Ali Emami; Jackie Chi Kit Cheung; Adam Trischler; Kaheer Suleman; Fernando Diaz 001 (CoRR, 2018)

Multi-task Learning over Graph Structures. - Pengfei Liu 003; Jie Fu 001; Yue Dong 002; Xipeng Qiu; Jackie Chi Kit Cheung (CoRR, 2018)

Clustering-Oriented Representation Learning with Attractive-Repulsive Loss. - Kian Kenyon-Dean; Andre Cianflone; Lucas Page-Caccia; Guillaume Rabusseau; Jackie Chi Kit Cheung; Doina Precup (CoRR, 2018)

Contextualized Non-Local Neural Networks for Sequence Learning. - Pengfei Liu 003; Shuaichen Chang; Xuanjing Huang 001; Jian Tang; Jackie Chi Kit Cheung (AAAI, 2019)

Learning Multi-Task Communication with Message Passing for Sequence Learning. - Pengfei Liu 003; Jie Fu 001; Yue Dong 002; Xipeng Qiu; Jackie Chi Kit Cheung (AAAI, 2019)

Generating Character Descriptions for Automatic Summarization of Fiction. - Weiwei Zhang; Jackie Chi Kit Cheung; Joel Oren (AAAI, 2019)

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. - Yue Dong 002; Zichao Li 003; Mehdi Rezagholizadeh; Jackie Chi Kit Cheung (ACL (1), 2019)

The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. - Ali Emami; Paul Trichelair; Adam Trischler; Kaheer Suleman; Hannes Schulz; Jackie Chi Kit Cheung (ACL (1), 2019)

A Cross-Domain Transferable Neural Coherence Model. - Peng Xu; Hamidreza Saghir; Jin Sung Kang; Teng Long; Avishek Joey Bose; Yanshuai Cao; Jackie Chi Kit Cheung (ACL (1), 2019)

Referring Expression Generation Using Entity Profiles. - Meng Cao 003; Jackie Chi Kit Cheung (EMNLP/IJCNLP (1), 2019)

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. - Matt Grenander; Yue Dong 002; Jackie Chi Kit Cheung; Annie Louis (EMNLP/IJCNLP (1), 2019)

How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG. - Paul Trichelair; Ali Emami; Adam Trischler; Kaheer Suleman; Jackie Chi Kit Cheung (EMNLP/IJCNLP (1), 2019)

Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples. - Krtin Kumar; Jackie Chi Kit Cheung (NAACL-HLT (1), 2019)

What comes next? Extractive summarization by next-sentence prediction. - Jingyun Liu; Jackie Chi Kit Cheung; Annie Louis (CoRR, 2019)

Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement. - Peng Xu; Yanshuai Cao; Jackie Chi Kit Cheung (CoRR, 2019)

Preventing Posterior Collapse in Sequence VAEs with Pooling. - Teng Long; Yanshuai Cao; Jackie Chi Kit Cheung (CoRR, 2019)

Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text. - Ian Porada; Kaheer Suleman; Jackie Chi Kit Cheung (CoRR, 2019)

Deconstructing and reconstructing word embedding algorithms. - Edward Newell; Kian Kenyon-Dean; Jackie Chi Kit Cheung (CoRR, 2019)

An Analysis of Dataset Overlap on Winograd-Style Tasks. - Ali Emami; Kaheer Suleman; Adam Trischler; Jackie Chi Kit Cheung (COLING, 2020)

Learning Efficient Task-Specific Meta-Embeddings with Word Prisms. - Jingyi He; Konstantinos C. Tsiolis; Kian Kenyon-Dean; Jackie Chi Kit Cheung (COLING, 2020)

Factual Error Correction for Abstractive Summarization Models. - Meng Cao 003; Yue Dong 002; Jiapeng Wu; Jackie Chi Kit Cheung (EMNLP (1), 2020)

Multi-Fact Correction in Abstractive Text Summarization. - Yue Dong 002; Shuohang Wang; Zhe Gan; Yu Cheng 001; Jackie Chi Kit Cheung; Jingjing Liu 001 (EMNLP (1), 2020)

TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization. - Clément Jumel; Annie Louis; Jackie Chi Kit Cheung (EMNLP (1), 2020)

Deconstructing word embedding algorithms. - Kian Kenyon-Dean; Edward Newell; Jackie Chi Kit Cheung (EMNLP (1), 2020)

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. - Jiapeng Wu; Meng Cao 003; Jackie Chi Kit Cheung; William L. Hamilton (EMNLP (1), 2020)

On Variational Learning of Controllable Representations for Text without Supervision. - Peng Xu; Jackie Chi Kit Cheung; Yanshuai Cao (ICML, 2020)

On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT. - Abhilasha Ravichander; Eduard H. Hovy; Kaheer Suleman; Adam Trischler; Jackie Chi Kit Cheung (*SEM@COLING, 2020)

Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles. - Manuel Sage; Pietro Cruciata; Raed Abdo; Jackie Chi Kit Cheung; Yaoyao Fiona Zhao (SwissText/KONVENS, 2020)

HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization. - Yue Dong 002; Andrei Romascanu; Jackie Chi Kit Cheung (CoRR, 2020)

Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing. - Peng Xu; Wei Yang 017; Wenjie Zi; Keyi Tang; Chengyang Huang; Jackie Chi Kit Cheung; Yanshuai Cao (CoRR, 2020)

Learning Lexical Subspaces in a Distributional Vector Space. - Kushal Arora; Aishik Chakraborty; Jackie Chi Kit Cheung (Trans. Assoc. Comput. Linguistics, 2020)

Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. - Matt Grenander; Robert Belfer; Ekaterina Kochmar; Iulian Vlad Serban; François St-Hilaire; Jackie Chi Kit Cheung (AAAI, 2021)

On-the-Fly Attention Modulation for Neural Generation. - Yue Dong 002; Chandra Bhagavatula; Ximing Lu; Jena D. Hwang; Antoine Bosselut; Jackie Chi Kit Cheung; Yejin Choi 001 (ACL/IJCNLP (Findings), 2021)

ADEPT: An Adjective-Dependent Plausibility Task. - Ali Emami; Ian Porada; Alexandra Olteanu; Kaheer Suleman; Adam Trischler; Jackie Chi Kit Cheung (ACL/IJCNLP (1), 2021)

Optimizing Deeper Transformers on Small Datasets. - Peng Xu; Dhruv Kumar 005; Wei Yang 017; Wenjie Zi; Keyi Tang; Chenyang Huang 001; Jackie Chi Kit Cheung; Simon J. D. Prince; Yanshuai Cao (ACL/IJCNLP (1), 2021)

Discourse-Aware Unsupervised Summarization for Long Scientific Documents. - Yue Dong 002; Andrei Romascanu; Jackie Chi Kit Cheung (EACL, 2021)

The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution. - Malik H. Altakrori; Jackie Chi Kit Cheung; Benjamin C. M. Fung (EMNLP (Findings), 2021)

Textual Time Travel: A Temporally Informed Approach to Theory of Mind. - Akshatha Arodi; Jackie Chi Kit Cheung (EMNLP (Findings), 2021)

Post-Editing Extractive Summaries by Definiteness Prediction. - Jad Kabbara; Jackie Chi Kit Cheung (EMNLP (Findings), 2021)

Modeling Event Plausibility with Consistent Conceptual Abstraction. - Ian Porada; Kaheer Suleman; Adam Trischler; Jackie Chi Kit Cheung (NAACL-HLT, 2021)

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. - Jiapeng Wu; Yishi Xu; Yingxue Zhang 001; Chen Ma 001; Mark Coates; Jackie Chi Kit Cheung (SIGIR, 2021)

On-the-Fly Attention Modularization for Neural Generation. - Yue Dong 002; Chandra Bhagavatula; Ximing Lu; Jena D. Hwang; Antoine Bosselut; Jackie Chi Kit Cheung; Yejin Choi 001 (CoRR, 2021)

The Topic Confusion Task: A Novel Scenario for Authorship Attribution. - Malik H. Altakrori; Jackie Chi Kit Cheung; Benjamin C. M. Fung (CoRR, 2021)

Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization. - Meng Cao 003; Yue Dong 002; Jackie Chi Kit Cheung (CoRR, 2021)

Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation. - Kushal Arora; Layla El Asri; Hareesh Bahuleyan; Jackie Chi Kit Cheung (ACL (Findings), 2022)

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization. - Meng Cao 003; Yue Dong 002; Jackie Chi Kit Cheung (ACL (1), 2022)

Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment. - Zichao Li 003; Prakhar Sharma; Xing Han Lù; Jackie Chi Kit Cheung; Siva Reddy (ACL (Findings), 2022)

Characterizing Idioms: Conventionality and Contingency. - Michaela Socolof; Jackie Chi Kit Cheung; Michael Wagner 019; Timothy J. O'Donnell (ACL (1), 2022)

Question Personalization in an Intelligent Tutoring System. - Sabina Elkins; Ekaterina Kochmar; Robert Belfer; Iulian Serban; Jackie Chi Kit Cheung (AIED (2), 2022)

Source-summary Entity Aggregation in Abstractive Summarization. - José Ángel González; Annie Louis; Jackie Chi Kit Cheung (COLING, 2022)

Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences. - Jad Kabbara; Jackie Chi Kit Cheung (COLING, 2022)

A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques. - Malik H. Altakrori; Thomas Scialom; Benjamin C. M. Fung; Jackie Chi Kit Cheung (EMNLP, 2022)

Learning with Rejection for Abstractive Text Summarization. - Meng Cao 003; Yue Dong 002; Jingyi He; Jackie Chi Kit Cheung (EMNLP, 2022)

Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. - Ian Porada; Alessandro Sordoni; Jackie Chi Kit Cheung (NAACL-HLT, 2022)

MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification. - Yu Lu Liu; Rachel Bawden; Thomas Scaliom; Benoît Sagot; Jackie Chi Kit Cheung (CoRR, 2022)

The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems. - Akshatha Arodi; Martin Pömsl; Kaheer Suleman; Adam Trischler; Alexandra Olteanu; Jackie Chi Kit Cheung (CoRR, 2022)

Varta: A Large-Scale Headline-Generation Dataset for Indic Languages. - Rahul Aralikatte; Ziling Cheng; Sumanth Doddapaneni; Jackie Chi Kit Cheung (ACL (Findings), 2023)

The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources. - Akshatha Arodi; Martin Pömsl; Kaheer Suleman; Adam Trischler; Alexandra Olteanu; Jackie Chi Kit Cheung (ACL (1), 2023)

How Useful Are Educational Questions Generated by Large Language Models? - Sabina Elkins; Ekaterina Kochmar; Iulian Serban; Jackie Chi Kit Cheung (AIED (Posters/Late Breaking Results/...), 2023)

Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests. - Aishik Chakraborty; Jackie C. K. Cheung; Timothy J. O'Donnell (BlackboxNLP@EMNLP, 2023)

Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness. - Zichao Li 003; Ines Arous; Siva Reddy; Jackie Chi Kit Cheung (EMNLP (Findings), 2023)

Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions. - Jad Kabbara; Jackie Chi Kit Cheung (EMNLP (Findings), 2023)

Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. - Yu Lu Liu; Meng Cao 003; Su Lin Blodgett; Jackie Chi Kit Cheung; Alexandra Olteanu; Adam Trischler (EMNLP (Findings), 2023)

Balaur: Language Model Pretraining with Lexical Semantic Relations. - Andrei Mircea; Jackie C. K. Cheung (EMNLP (Findings), 2023)

Qualitative Code Suggestion: A Human-Centric Approach to Qualitative Coding. - Cesare Spinoso Di Piano; Samira Abbasgholizadeh Rahimi; Jackie Chi Kit Cheung (EMNLP (Findings), 2023)

Systematic Rectification of Language Models via Dead-end Analysis. - Meng Cao 003; Mehdi Fatemi; Jackie C. K. Cheung; Samira Shabanian (ICLR, 2023)

The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation. - Kushal Arora; Timothy J. O'Donnell; Doina Precup; Jason Weston; Jackie Chi Kit Cheung (CoRR, 2023)

Investigating Failures to Generalize for Coreference Resolution Models. - Ian Porada; Alexandra Olteanu; Kaheer Suleman; Adam Trischler; Jackie Chi Kit Cheung (CoRR, 2023)

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. - 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; et al. (CoRR, 2023)

Successor Features for Efficient Multisubject Controlled Text Generation. - Meng Cao 003; Mehdi Fatemi; Jackie Chi Kit Cheung; Samira Shabanian (CoRR, 2023)

Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. - Maxime Darrin; Guillaume Staerman; Eduardo Dadalto Câmara Gomes; Jackie C. K. Cheung; Pablo Piantanida; Pierre Colombo (AAAI, 2024)

How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes. - Sabina Elkins; Ekaterina Kochmar; Jackie C. K. Cheung; Iulian Serban (AAAI, 2024)

From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. - Khaoula Chehbouni; Megha Roshan; Emmanuel Ma; Futian Andrew Wei; Afaf Taïk; Jackie Chi Kit Cheung; Golnoosh Farnadi (ACL (Findings), 2024)

GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews. - Maxime Darrin; Ines Arous; Pablo Piantanida; Jackie Chi Kit Cheung (ACL (1), 2024)

COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation. - Maxime Darrin; Philippe Formont; Jackie Chi Kit Cheung; Pablo Piantanida (ACL (1), 2024)

ECBD: Evidence-Centered Benchmark Design for NLP. - Yu Lu Liu; Su Lin Blodgett; Jackie C. K. Cheung; Vera Liao; Alexandra Olteanu; Ziang Xiao (ACL (1), 2024)

Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective. - Ian Porada; Alexandra Olteanu; Kaheer Suleman; Adam Trischler; Jackie Chi Kit Cheung (ACL (Findings), 2024)

A Controlled Reevaluation of Coreference Resolution Models. - Ian Porada; Xiyuan Zou; Jackie Chi Kit Cheung (LREC/COLING, 2024)

CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling. - Yu Bai 018; Xiyuan Zou; Heyan Huang; Sanxing Chen; Marc-Antoine Rondeau; Yang Gao 016; Jackie C. K. Cheung (EMNLP, 2024)

Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations. - Lei Yu 001; Meng Cao 003; Jackie C. K. Cheung; Yue Dong 002 (EMNLP (Findings), 2024)

Ensemble Distillation for Unsupervised Constituency Parsing. - Behzad Shayegh; Yanshuai Cao; Xiaodan Zhu 001; Jackie C. K. Cheung; Lili Mou (ICLR, 2024)

Successor Features for Efficient Multi-Subject Controlled Text Generation. - Meng Cao 003; Mehdi Fatemi; Jackie C. K. Cheung; Samira Shabanian (ICML, 2024)

Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution. - Xiyuan Zou; Yiran Li; Ian Porada; Jackie C. K. Cheung (NAACL (Short Papers), 2024)

Analyzing Task-Encoding Tokens in Large Language Models. - Yu Bai 018; Heyan Huang; Cesare Spinoso Di Piano; Marc-Antoine Rondeau; Sanxing Chen; Yang Gao 016; Jackie Chi Kit Cheung (CoRR, 2024)

Mechanisms of non-factual hallucinations in language models. - Lei Yu 001; Meng Cao 003; Jackie Chi Kit Cheung; Yue Dong 002 (CoRR, 2024)

When is an Embedding Model More Promising than Another? - Maxime Darrin; Philippe Formont; Ismail Ben Ayed; Jackie C. K. Cheung; Pablo Piantanida (CoRR, 2024)

Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolution. - Ian Porada; Jackie Chi Kit Cheung (CoRR, 2024)

Does This Summary Answer My Question? Modeling Query-Focused Summary Readers with Rational Speech Acts. - Cesare Spinoso Di Piano; Jackie Chi Kit Cheung (CoRR, 2024)

Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset. - Khaoula Chehbouni; Jonathan Colaço Carr; Yash More; Jackie C. K. Cheung; Golnoosh Farnadi (CoRR, 2024)

Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing. - Behzad Shayegh; Hobie H.-B. Lee; Xiaodan Zhu 001; Jackie Chi Kit Cheung; Lili Mou (AAAI, 2025)

PreSumm: Predicting Summarization Performance Without Summarizing. - Steven Koniaev; Ori Ernst; Jackie Chi Kit Cheung (CoRR, 2025)

Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs. - Ziling Cheng; Meng Cao 003; Marc-Antoine Rondeau; Jackie Chi Kit Cheung (CoRR, 2025)

Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation. - Ziling Cheng; Meng Cao 003; Leila Pishdad; Yanshuai Cao; Jackie Chi Kit Cheung (CoRR, 2025)

Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics. - Lorenzo Jaime Yu Flores; Ori Ernst; Jackie Chi Kit Cheung (CoRR, 2025)

(RSA)2: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding. - Cesare Spinoso Di Piano; David Eric Austin; Pablo Piantanida; Jackie Chi Kit Cheung (CoRR, 2025)