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    Home » Google at ACL 2023 – Google Research Blog
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    Google at ACL 2023 – Google Research Blog

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    Google at ACL 2023 – Google Research Blog
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    Posted by Malaya Jules, Program Manager, Google

    This week, the 61st annual assembly of the Association for Computational Linguistics (ACL), a premier convention masking a broad spectrum of analysis areas which might be involved with computational approaches to pure language, is going down on-line.

    As a pacesetter in pure language processing and understanding, and a Diamond Level sponsor of ACL 2023, Google will showcase the most recent analysis within the area with over 50 publications, and lively involvement in a wide range of workshops and tutorials.

    If you’re registered for ACL 2023, we hope that you simply’ll go to the Google sales space to be taught extra concerning the initiatives at Google that go into fixing attention-grabbing issues for billions of individuals. You may also be taught extra about Google’s participation under (Google affiliations in daring).

    Board and Organizing Committee

    Area chairs embody: Dan Garrette

    Workshop chairs embody: Annie Louis

    Publication chairs embody: Lei Shu

    Program Committee contains: Vinodkumar Prabhakaran, Najoung Kim, Markus Freitag

    Spotlight papers

    NusaCrowd: Open Source Initiative for Indonesian NLP Resources

    Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji, Genta Winata, Bryan Wilie, Fajri Koto, Rahmad Mahendra, Christian Wibisono, Ade Romadhony, Karissa Vincentio, Jennifer Santoso, David Moeljadi, Cahya Wirawan, Frederikus Hudi, Muhammad Satrio Wicaksono, Ivan Parmonangan, Ika Alfina, Ilham Firdausi Putra, Samsul Rahmadani, Yulianti Oenang, Ali Septiandri, James Jaya, Kaustubh Dhole, Arie Suryani, Rifki Afina Putri, Dan Su, Keith Stevens, Made Nindyatama Nityasya, Muhammad Adilazuarda, Ryan Hadiwijaya, Ryandito Diandaru, Tiezheng Yu, Vito Ghifari, Wenliang Dai, Yan Xu, Dyah Damapuspita, Haryo Wibowo, Cuk Tho, Ichwanul Karo Karo, Tirana Fatyanosa, Ziwei Ji, Graham Neubig, Timothy Baldwin, Sebastian Ruder, Pascale Fung, Herry Sujaini, Sakriani Sakti, Ayu Purwarianti

    Optimizing Test-Time Query Representations for Dense Retrieval

    Mujeen Sung, Jungsoo Park, Jaewoo Kang, Danqi Chen, Jinhyuk Lee

    PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition

    Sihao Chen*, Senaka Buthpitiya, Alex Fabrikant, Dan Roth, Tal Schuster

    Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

    Cheng-Yu Hsieh*, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alex Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister

    Large Language Models with Controllable Working Memory

    Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix Yu, Sanjiv Kumar

    OpineSum: Entailment-Based Self-Training for Abstractive Opinion Summarization

    Annie Louis, Joshua Maynez

    RISE: Leveraging Retrieval Techniques for Summarization Evaluation

    David Uthus, Jianmo Ni

    Follow the Leader(board) with Confidence: Estimating p-Values from a Single Test Set with Item and Response Variance


    Shira Wein*, Christopher Homan, Lora Aroyo, Chris Welty

    SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives

    Fedor Moiseev, Gustavo Hernandez Abrego, Peter Dornbach, Imed Zitouni, Enrique Alfonseca, Zhe Dong

    Papers

    Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM’s Translation Capability

    Eleftheria Briakou, Colin Cherry, George Foster

    Prompting PaLM for Translation: Assessing Strategies and Performance

    David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, George Foster

    Query Refinement Prompts for Closed-Book Long-Form QA

    Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan

    To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering

    Dheeru Dua*, Emma Strubell, Sameer Singh, Pat Verga

    FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation (see weblog put up)

    Parker Riley, Timothy Dozat, Jan A. Botha, Xavier Garcia, Dan Garrette, Jason Riesa, Orhan Firat, Noah Constant

    Conditional Generation with a Question-Answering Blueprint

    Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Anders Sandholm, Dipanjan Das, Mirella Lapata

    Coreference Resolution Through a Seq2Seq Transition-Based System

    Bernd Bohnet, Chris Alberti, Michael Collins

    Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing

    Rochelle Choenni, Dan Garrette, Ekaterina Shutova

    DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue

    William Held*, Christopher Hidey, Fei Liu, Eric Zhu, Rahul Goel, Diyi Yang, Rushin Shah

    RARR: Researching and Revising What Language Models Say, Using Language Models

    Luyu Gao*, Zhuyun Dai, Panupong Pasupat, Anthony Chen*, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu

    Benchmarking Large Language Model Capabilities for Conditional Generation

    Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann

    Crosslingual Generalization Through Multitask Fine-Tuning

    Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel

    DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering

    Ella Neeman, Roee Aharoni, Or Honovich, Leshem Choshen, Idan Szpektor, Omri Abend

    Resolving Indirect Referring Expressions for Entity Selection

    Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis

    SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models

    Akshita Jha*, Aida Mostafazadeh Davani, Chandan Okay Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev

    The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks

    Nikil Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang

    Character-Aware Models Improve Visual Text Rendering

    Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant

    Cold-Start Data Selection for Better Few-Shot Language Model Fine-Tuning: A Prompt-Based Uncertainty Propagation Approach

    Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang

    Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment

    Roni Rabin, Alexandre Djerbetian, Roee Engelberg, Lidan Hackmon, Gal Elidan, Reut Tsarfaty, Amir Globerson

    FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction

    Chen-Yu Lee, Chun-Liang Li, Hao Zhang, Timothy Dozat, Vincent Perot, Guolong Su, Xiang Zhang, Kihyuk Sohn, Nikolay Glushinev, Renshen Wang, Joshua Ainslie, Shangbang Long, Siyang Qin, Yasuhisa Fujii, Nan Hua, Tomas Pfister

    Dialect-Robust Evaluation of Generated Text

    Jiao Sun*, Thibault Sellam, Elizabeth Clark, Tu Vu*, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann

    MISGENDERED: Limits of Large Language Models in Understanding Pronouns

    Tamanna Hossain, Sunipa Dev, Sameer Singh

    LAMBADA: Backward Chaining for Automated Reasoning in Natural Language

    Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu, Deepak Ramachandran

    LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction

    Jeremiah Milbauer*, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler, Tal Schuster

    Modular Visual Question Answering through Code Generation (see weblog put up)

    Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein

    Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

    Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer and Huan Sun

    Better Zero-Shot Reasoning with Self-Adaptive Prompting

    Xingchen Wan*, Ruoxi Sun, Hanjun Dai, Sercan Ö. Arik, Tomas Pfister

    Factually Consistent Summarization through Reinforcement Learning with Textual Entailment Feedback

    Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor

    Natural Language to Code Generation in Interactive Data Science Notebooks

    Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Oleksandr Polozov, Charles Sutton

    Teaching Small Language Models to Reason

    Lucie Charlotte Magister*, Jonathan Mallinson, Jakub Adamek, Eric Malmi, Aliaksei Severyn

    Using Domain Knowledge to Guide Dialog Structure Induction through Neural Probabilistic Soft Logic

    Connor Pryor*, Quan Yuan, Jeremiah Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss, Lise Getoor

    A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization

    Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu and João Sedoc

    Industry Track papers

    Federated Learning of Gboard Language Models with Differential Privacy

    Zheng Xu, Yanxiang Zhang, Galen Andrew, Christopher Choquette, Peter Kairouz, Brendan McMahan, Jesse Rosenstock, Yuanbo Zhang

    KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models

    Zhiwei Jia*, Pradyumna Narayana, Arjun Akula, Garima Pruthi, Hao Su, Sugato Basu, Varun Jampani

    ACL Findings papers

    Multilingual Summarization with Factual Consistency Evaluation

    Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata

    Parameter-Efficient Fine-Tuning for Robust Continual Multilingual Learning

    Kartikeya Badola, Shachi Dave, Partha Talukdar

    FiDO: Fusion-in-Decoder Optimized for Stronger Performance and Faster Inference

    Michiel de Jong*, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William Cohen

    A Simple, Yet Effective Approach to Finding Biases in Code Generation

    Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski

    Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

    Mirac Suzgun, Nathan Scales, Nathanael Scharli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc Le, Ed Chi, Denny Zhou, Jason Wei

    QueryForm: A Simple Zero-Shot Form Entity Query Framework

    Zifeng Wang*, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer Dy, Vincent Perot, Tomas Pfister

    ReGen: Zero-Shot Text Classification through Training Data Generation with Progressive Dense Retrieval

    Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang

    Multilingual Sequence-to-Sequence Models for Hebrew NLP

    Matan Eyal, Hila Noga, Roee Aharoni, Idan Szpektor, Reut Tsarfaty

    Triggering Multi-Hop Reasoning for Question Answering in Language Models Using Soft Prompts and Random Walks

    Kanishka Misra*, Cicero Nogueira dos Santos, Siamak Shakeri

    Tutorials

    Workshops


    * Work executed whereas at Google

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