Jackie C. K. Cheung

18 papers A* 6Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset.
CoRR
Khaoula Chehbouni, Jonathan Colaço Carr, Yash More, Jackie C. K. Cheung, Golnoosh Farnadi
2024 A* conf
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling.
EMNLP
Yu Bai, Xiyuan Zou, Heyan Huang, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie C. K. Cheung
2024 — conf
ECBD: Evidence-Centered Benchmark Design for NLP.
ACL (1)
Yu Lu Liu, Su Lin Blodgett, Jackie C. K. Cheung, Vera Liao, Alexandra Olteanu, Ziang Xiao
2024 A* conf
Ensemble Distillation for Unsupervised Constituency Parsing.
ICLR
Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou
2024 J jnl
From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards.
CoRR
Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie C. K. Cheung, Golnoosh Farnadi
2024 J jnl
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews.
CoRR
Maxime Darrin, Ines Arous, Pablo Piantanida, Jackie C. K. Cheung
2024 A* conf
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes.
AAAI
Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban
2024 J jnl
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes.
CoRR
Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban
2024 — conf
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations.
EMNLP (Findings)
Lei Yu, Meng Cao, Jackie C. K. Cheung, Yue Dong
2024 — conf
Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution.
NAACL (Short Papers)
Xiyuan Zou, Yiran Li, Ian Porada, Jackie C. K. Cheung
2024 A* conf
Successor Features for Efficient Multi-Subject Controlled Text Generation.
ICML
Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian
2024 A* conf
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection.
AAAI
Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo
2024 J jnl
When is an Embedding Model More Promising than Another?
CoRR
Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie C. K. Cheung, Pablo Piantanida
2023 — conf
Balaur: Language Model Pretraining with Lexical Semantic Relations.
EMNLP (Findings)
Andrei Mircea, Jackie C. K. Cheung
2023 J jnl
Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness.
CoRR
Zichao Li, Ines Arous, Siva Reddy, Jackie C. K. Cheung
2023 — conf
Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests.
BlackboxNLP@EMNLP
Aishik Chakraborty, Jackie C. K. Cheung, Timothy J. O'Donnell
2023 A* conf
Systematic Rectification of Language Models via Dead-end Analysis.
ICLR
Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian
2023 J jnl
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection.
CoRR
Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo