Workshop at ACL 2022
May 27th, 2022 (hybrid)
Contact: organizers@semiparametric.ml
Efficient Machine Translation Domain Adaptation
Pedro Henrique Martins, Zita Marinho, Andre Martins
Improving Discriminative Learning for Zero-Shot Relation Extraction
Van-Hien Tran, Hiroki Ouchi, Taro Watanabe, Yuji Matsumoto
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering
Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral, Yingbo Zhou
Field Extraction from Forms with Unlabeled Data
Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong, Ran Xu
Knowledge Base Index Compression via Dimensionality and Precision Reduction
Vilém Zouhar, Marius Mosbach, Miaoran Zhang, Dietrich Klakow
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models
Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Linyang Li, Demin Song, Ruotian Ma, Xipeng Qiu, Xuanjing Huang
Learning to Retrieve Passages without Supervision
Ori Ram,Gal Shachaf,Omer Levy,Jonathan Berant,Amir Globerson
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering
Jiawei Zhou, Xiaoguang, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen
Towards Continual Knowledge Learning of Language Models
Joel Jang, Seonghyeon Ye, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Stanley Jungkyu Choi, Minjoon Seo
Learning Cross-Lingual IR from an English Retriever
Yulong Li, Martin Franz, Md Arafat Sultan, Bhavani Iyer, Young-Suk Lee, Avirup Sil
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References
Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen
Towards Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave
Internet-augmented language models through few-shot prompting for open-domain question answering
Anonymous
Towards Interactive Language Modeling
Maartje ter Hoeve, Evgeny Kharitonov, Dieuwke Hupkes, Emmanuel Dupoux
GUD-IR: Generative Retrieval for Semiparametric Models
Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang
Less is More: Summary of Long Instructions is Better for Program Synthesis
Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral
How Many Data Samples is an Additional Instruction Worth?
Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral
Is Retriever Merely an Approximator of Reader?
Sohee Yang, Minjoon Seo
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
Joel Jang, Seonghyeon ye, Changho Lee, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Minjoon Seo
Unsupervised Cross-Task Generalization via Retrieval Augmentation
Bill Yuchen Lin, Kangmin Tan, Chris Scott Miller, Beiwen Tian, Xiang Ren
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat, Yuan Zhang, Kelvin Guu
StreamingQA: A Benchmark for Adaptation to New Knowledge over Timein Question Answering Models
Adam Liska, Tomas Kocisky, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d’Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou
On the Effect of Pretraining Corpora on In-context Few-shot Learning by a Large-scale Language Model
Seongjin Shin, Sang-Woo Lee, Hwijeen Ahn, Sungdong Kim, HyoungSeok Kim, Boseop Kim, Kyunghyun Cho, Gichang Lee, Woomyoung Park, Jung-Woo Ha, Nako Sung
Exploring Dual Encoder Architectures for Question Answering
Zhe Dong, Jianmo Ni, Daniel M. Bikel, Enrique Alfonseca, Yuan Wang, Chen Qu, Imed Zitouni
RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing
Vivek Gupta, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov
PERKGQA: Question Answering over Personalized Knowledge Graphs
Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn Penstein Rosé
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin, Jonathan Herzig, Jonathan Berant