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Publication search results
found 92 matches
- 2024
- 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 - Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu:
Think Before You Act: Decision Transformers with Working Memory. ICML 2024 - Angel Hsing-Chi Hwang, Q. Vera Liao, Su Lin Blodgett, Alexandra Olteanu, Adam Trischler:
"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models. CoRR abs/2411.13032 (2024) - 2023
- 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 - 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 - Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux:
Joint Prompt Optimization of Stacked LLMs using Variational Inference. NeurIPS 2023 - 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) - Jikun Kang, Romain Laroche, Xindi Yuan, Adam Trischler, Xue Liu, Jie Fu:
Think Before You Act: Decision Transformers with Internal Working Memory. CoRR abs/2305.16338 (2023) - Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux:
Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference. CoRR abs/2306.12509 (2023) - 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) - 2022
- Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu:
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. NAACL-HLT 2022: 314-324 - Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu:
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. CoRR abs/2205.06828 (2022) - 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
- 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 - Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht:
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. ICLR 2021 - Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He:
An Empirical Study on Neural Keyphrase Generation. NAACL-HLT 2021: 4985-5007 - Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Modeling Event Plausibility with Consistent Conceptual Abstraction. NAACL-HLT 2021: 1732-1743 - Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Modeling Event Plausibility with Consistent Conceptual Abstraction. CoRR abs/2104.10247 (2021) - 2020
- Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler:
Interactive Machine Comprehension with Information Seeking Agents. ACL 2020: 2325-2338 - Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Peter Brusilovsky, Daqing He, Adam Trischler:
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases. ACL 2020: 7961-7975 - Ali Emami, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
An Analysis of Dataset Overlap on Winograd-Style Tasks. COLING 2020: 5855-5865 - Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen:
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. EMNLP (1) 2020: 8980-8994 - Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. EMNLP (1) 2020: 7882-7926 - Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton:
Learning Dynamic Belief Graphs to Generalize on Text-Based Games. NeurIPS 2020 - 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 - Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton:
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. CoRR abs/2002.09127 (2020) - Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong:
Role-Wise Data Augmentation for Knowledge Distillation. CoRR abs/2004.08861 (2020) - Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen:
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. CoRR abs/2004.14224 (2020) - Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. CoRR abs/2005.00770 (2020) - Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He:
An Empirical Study on Neural Keyphrase Generation. CoRR abs/2009.10229 (2020)
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