{"id":637,"date":"2023-07-10T18:43:38","date_gmt":"2023-07-10T18:43:38","guid":{"rendered":"https:\/\/todaysainews.com\/index.php\/2023\/07\/10\/google-at-acl-2023-google-research-blog\/"},"modified":"2025-04-27T07:33:10","modified_gmt":"2025-04-27T07:33:10","slug":"google-at-acl-2023-google-research-blog","status":"publish","type":"post","link":"https:\/\/todaysainews.com\/index.php\/2023\/07\/10\/google-at-acl-2023-google-research-blog\/","title":{"rendered":"Google at ACL 2023 \u2013 Google Research Blog"},"content":{"rendered":"

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\n<\/p>\n

\nPosted by Malaya Jules, Program Manager, Google<\/span><\/p>\n

<\/p>\n

\n This week, the 61st annual meeting<\/a> of the Association for Computational Linguistics<\/a> (ACL), a premier conference covering a broad spectrum of research areas that are concerned with computational approaches to natural language, is taking place online.<\/p>\n

<\/p>\n

\n As a leader in natural language processing and understanding, and a Diamond Level sponsor<\/a> of ACL 2023<\/a>, Google will showcase the latest research in the field with over 50 publications, and active involvement in a variety of workshops and tutorials.<\/p>\n

\n If you\u2019re registered for ACL 2023, we hope that you\u2019ll visit the Google booth to learn more about the projects at Google that go into solving interesting problems for billions of people. You can also learn more about Google’s participation below (Google affiliations in bold<\/b>).<\/p>\n

<\/p>\n

Board and Organizing Committee<\/h2>\n
\n

\nArea chairs include: Dan Garrette<\/em><\/strong>
\n
Workshop chairs include: Annie Louis<\/em><\/strong>
\n
Publication chairs include: Lei Shu<\/em><\/strong>
\n
Program Committee includes: Vinodkumar Prabhakaran<\/em><\/strong>, Najoung Kim<\/em><\/strong>, Markus Freitag<\/em><\/strong>\n<\/p>\n<\/div>\n

<\/p>\n

Spotlight papers<\/h2>\n
\n

\nNusaCrowd: Open Source Initiative for Indonesian NLP Resources<\/a>
\n
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<\/strong>, Pascale Fung, Herry Sujaini, Sakriani Sakti, Ayu Purwarianti<\/em>\n<\/p>\n

\nOptimizing Test-Time Query Representations for Dense Retrieval<\/a>
\n
Mujeen Sung, Jungsoo Park, Jaewoo Kang, Danqi Chen, Jinhyuk Lee<\/strong><\/em>\n<\/p>\n

\nPropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition<\/a>
\n
Sihao Chen*, Senaka Buthpitiya<\/strong>, Alex Fabrikant<\/strong>, Dan Roth, Tal Schuster<\/strong><\/em>\n<\/p>\n

\nDistilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes<\/a>
\n
Cheng-Yu Hsieh*, Chun-Liang Li<\/strong>, Chih-Kuan Yeh<\/strong>, Hootan Nakhost<\/strong>, Yasuhisa Fujii<\/strong>, Alex Ratner, Ranjay Krishna, Chen-Yu Lee<\/strong>, Tomas Pfister<\/strong><\/em>\n<\/p>\n

\nLarge Language Models with Controllable Working Memory<\/a>
\n
Daliang Li<\/b>, Ankit Singh Rawat<\/b>, Manzil Zaheer<\/b>, Xin Wang<\/b>, Michal Lukasik<\/b>, Andreas Veit<\/b>, Felix Yu<\/b>, Sanjiv Kumar<\/b><\/em>\n<\/p>\n

\nOpineSum: Entailment-Based Self-Training for Abstractive Opinion Summarization<\/a>
\n
Annie Louis<\/b>, Joshua Maynez<\/b><\/em>\n<\/p>\n

\nRISE: Leveraging Retrieval Techniques for Summarization Evaluation<\/a>
\n
David Uthus<\/b>, Jianmo Ni<\/b><\/em>\n<\/p>\n

\nFollow the Leader(board) with Confidence: Estimating p-Values from a Single Test Set with Item and Response Variance<\/a>
\n

\nShira Wein*, Christopher Homan, Lora Aroyo<\/strong>, Chris Welty<\/strong><\/i>\n<\/p>\n

\nSamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives<\/a>
\n
Fedor Moiseev<\/strong>, Gustavo Hernandez Abrego<\/strong>, Peter Dornbach<\/strong>, Imed Zitouni<\/strong>, Enrique Alfonseca<\/strong>, Zhe Dong<\/strong><\/i>\n<\/p>\n<\/div>\n

<\/p>\n

Papers<\/h2>\n
\n

\nSearching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM’s Translation Capability<\/a>
\n
Eleftheria Briakou, Colin Cherry<\/strong>, George Foster<\/strong><\/em>\n<\/p>\n

\nPrompting PaLM for Translation: Assessing Strategies and Performance<\/a>
\n
David Vilar<\/b>, Markus Freitag<\/b>, Colin Cherry<\/b>, Jiaming Luo<\/b>, Viresh Ratnakar<\/b>, George Foster<\/b><\/em>\n<\/p>\n

\nQuery Refinement Prompts for Closed-Book Long-Form QA<\/a>
\n
Reinald Kim Amplayo<\/b>, Kellie Webster<\/b>, Michael Collins<\/b>, Dipanjan Das<\/b>, Shashi Narayan<\/b><\/em>\n<\/p>\n

\nTo Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering<\/a>
\n
Dheeru Dua*, Emma Strubell<\/strong>, Sameer Singh, Pat Verga<\/strong><\/em>\n<\/p>\n

\nFRMT: A Benchmark for Few-Shot Region-Aware Machine Translation<\/a> (see blog post<\/a>)
\n
Parker Riley<\/b>, Timothy Dozat<\/b>, Jan A. Botha<\/b>, Xavier Garcia<\/b>, Dan Garrette<\/b>, Jason Riesa<\/b>, Orhan Firat<\/b>, Noah Constant<\/b><\/em>\n<\/p>\n

\nConditional Generation with a Question-Answering Blueprint<\/a>
\n
Shashi Narayan<\/b>, Joshua Maynez<\/b>, Reinald Kim Amplayo<\/b>, Kuzman Ganchev<\/b>, Annie Louis<\/b>, Fantine Huot<\/b>, Anders Sandholm<\/b>, Dipanjan Das<\/b>, Mirella Lapata<\/b><\/em>\n<\/p>\n

\nCoreference Resolution Through a Seq2Seq Transition-Based System<\/a>
\n
Bernd Bohnet<\/b>, Chris Alberti<\/b>, Michael Collins<\/b><\/em>\n<\/p>\n

\nCross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing<\/a>
\n
Rochelle Choenni, Dan Garrette<\/strong>, Ekaterina Shutova<\/em>\n<\/p>\n

\nDAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue<\/a>
\n
William Held*, Christopher Hidey<\/strong>, Fei Liu<\/strong>, Eric Zhu<\/strong>, Rahul Goel<\/strong>, Diyi Yang, Rushin Shah<\/strong><\/em>\n<\/p>\n

\nRARR: Researching and Revising What Language Models Say, Using Language Models<\/a>
\n
Luyu Gao*, Zhuyun Dai<\/strong>, Panupong Pasupat<\/strong>, Anthony Chen*, Arun Tejasvi Chaganty<\/strong>, Yicheng Fan<\/strong>, Vincent Y. Zhao<\/strong>, Ni Lao<\/strong>, Hongrae Lee<\/strong>, Da-Cheng Juan<\/strong>, Kelvin Guu<\/strong>\n<\/p>\n

\nBenchmarking Large Language Model Capabilities for Conditional Generation<\/a>
\n
Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann<\/strong><\/em>\n<\/p>\n

\nCrosslingual Generalization Through Multitask Fine-Tuning<\/a>
\n
Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts<\/strong>, 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<\/em>\n<\/p>\n

\nDisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering<\/a>
\n
Ella Neeman, Roee Aharoni<\/strong>, Or Honovich, Leshem Choshen, Idan Szpektor<\/strong>, Omri Abend<\/em>\n<\/p>\n

\nResolving Indirect Referring Expressions for Entity Selection<\/a>
\n
Mohammad Javad Hosseini<\/b>, Filip Radlinski<\/b>, Silvia Pareti<\/b>, Annie Louis<\/b><\/em>\n<\/p>\n

\nSeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models<\/a>
\n
Akshita Jha*, Aida Mostafazadeh Davani<\/strong>, Chandan K Reddy, Shachi Dave<\/strong>, Vinodkumar Prabhakaran<\/strong>, Sunipa Dev<\/strong><\/em>\n<\/p>\n

\nThe Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks<\/a>
\n
Nikil Selvam, Sunipa Dev<\/strong>, Daniel Khashabi, Tushar Khot, Kai-Wei Chang<\/em>\n<\/p>\n

\nCharacter-Aware Models Improve Visual Text Rendering<\/a>
\n
Rosanne Liu<\/b>, Dan Garrette<\/b>, Chitwan Saharia<\/b>, William Chan<\/b>, Adam Roberts<\/b>, Sharan Narang<\/b>, Irina Blok<\/b>, RJ Mical<\/b>, Mohammad Norouzi<\/b>, Noah Constant<\/b><\/em>\n<\/p>\n

\nCold-Start Data Selection for Better Few-Shot Language Model Fine-Tuning: A Prompt-Based Uncertainty Propagation Approach<\/a>
\n
Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen<\/strong>, Chao Zhang<\/em>\n<\/p>\n

\nCovering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment
\n
Roni Rabin<\/b>, Alexandre Djerbetian<\/b>, Roee Engelberg<\/b>, Lidan Hackmon<\/b>, Gal Elidan<\/b>, Reut Tsarfaty<\/b>, Amir Globerson<\/b><\/em>\n<\/p>\n

\nFormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction<\/a>
\n
Chen-Yu Lee<\/b>, Chun-Liang Li<\/b>, Hao Zhang<\/b>, Timothy Dozat<\/b>, Vincent Perot<\/b>, Guolong Su<\/b>, Xiang Zhang<\/b>, Kihyuk Sohn<\/b>, Nikolay Glushinev<\/b>, Renshen Wang<\/b>, Joshua Ainslie<\/b>, Shangbang Long<\/b>, Siyang Qin<\/b>, Yasuhisa Fujii<\/b>, Nan Hua<\/b>, Tomas Pfister<\/b><\/em>\n<\/p>\n

\nDialect-Robust Evaluation of Generated Text<\/a>
\n
Jiao Sun*, Thibault Sellam<\/strong>, Elizabeth Clark<\/strong>, Tu Vu*, Timothy Dozat<\/strong>, Dan Garrette<\/strong>, Aditya Siddhant<\/strong>, Jacob Eisenstein<\/strong>, Sebastian Gehrmann<\/strong><\/em>\n<\/p>\n

\nMISGENDERED: Limits of Large Language Models in Understanding Pronouns<\/a>
\n
Tamanna Hossain, Sunipa Dev<\/strong>, Sameer Singh<\/em>\n<\/p>\n

\nLAMBADA: Backward Chaining for Automated Reasoning in Natural Language<\/a>
\n
Mehran Kazemi<\/b>, Najoung Kim<\/b>, Deepti Bhatia<\/b>, Xin Xu<\/b>, Deepak Ramachandran<\/b><\/em>\n<\/p>\n

\nLAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction<\/a>
\n
Jeremiah Milbauer*, Annie Louis<\/strong>, Mohammad Javad Hosseini<\/strong>, Alex Fabrikant<\/strong>, Donald Metzler<\/strong>, Tal Schuster<\/strong><\/em>\n<\/p>\n

\nModular Visual Question Answering via Code Generation<\/a> (see blog post<\/a>)
\n
Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani<\/strong>, Cordelia Schmid<\/strong>, Andy Zeng<\/strong>, Trevor Darrell, Dan Klein<\/em>\n<\/p>\n

\nTowards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters<\/a>
\n
Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen<\/strong>, You Wu<\/strong>, Luke Zettlemoyer and Huan Sun<\/em>\n<\/p>\n

\nBetter Zero-Shot Reasoning with Self-Adaptive Prompting<\/a>
\n
Xingchen Wan*, Ruoxi Sun<\/strong>, Hanjun Dai, Sercan \u00d6. Arik<\/strong>, Tomas Pfister<\/strong><\/em>\n<\/p>\n

\nFactually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback<\/a>
\n
Paul Roit<\/b>, Johan Ferret<\/b>, Lior Shani<\/b>, Roee Aharoni<\/b>, Geoffrey Cideron<\/b>, Robert Dadashi<\/b>, Matthieu Geist<\/b>, Sertan Girgin<\/b>, L\u00e9onard Hussenot<\/b>, Orgad Keller<\/b>, Nikola Momchev<\/b>, Sabela Ramos<\/b>, Piotr Stanczyk<\/b>, Nino Vieillard<\/b>, Olivier Bachem<\/b>, Gal Elidan<\/b>, Avinatan Hassidim<\/b>, Olivier Pietquin<\/b>, Idan Szpektor<\/b><\/em>\n<\/p>\n

\nNatural Language to Code Generation in Interactive Data Science Notebooks<\/a>
\n
Pengcheng Yin<\/b>, Wen-Ding Li<\/b>, Kefan Xiao<\/b>, Abhishek Rao<\/b>, Yeming Wen<\/b>, Kensen Shi<\/b>, Joshua Howland<\/b>, Paige Bailey<\/b>, Michele Catasta<\/b>, Henryk Michalewski<\/b>, Oleksandr Polozov<\/b>, Charles Sutton<\/b><\/em>\n<\/p>\n

\nTeaching Small Language Models to Reason<\/a>
\n
Lucie Charlotte Magister*, Jonathan Mallinson<\/strong>, Jakub Adamek<\/strong>, Eric Malmi<\/strong>, Aliaksei Severyn<\/strong><\/em>\n<\/p>\n

\nUsing Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic<\/a>
\n
Connor Pryor*, Quan Yuan<\/strong>, Jeremiah Liu<\/strong>, Mehran Kazemi<\/strong>, Deepak Ramachandran<\/strong>, Tania Bedrax-Weiss<\/strong>, Lise Getoor<\/em>\n<\/p>\n

\nA Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization<\/a>
\n
Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch<\/strong>, Elizabeth Clark<\/strong>, Yixin Liu, Saad Mahamood, Sebastian Gehrmann<\/strong>, Miruna Clinciu, Khyathi Raghavi Chandu and Jo\u00e3o Sedoc<\/em>\n<\/p>\n<\/div>\n

<\/p>\n

Industry Track papers<\/h2>\n
\n

\nFederated Learning of Gboard Language Models with Differential Privacy<\/a>
\n
Zheng Xu<\/b>, Yanxiang Zhang<\/b>, Galen Andrew<\/b>, Christopher Choquette<\/b>, Peter Kairouz<\/b>, Brendan McMahan<\/b>, Jesse Rosenstock<\/b>, Yuanbo Zhang<\/b><\/em>\n<\/p>\n

\nKAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models<\/a>
\n
Zhiwei Jia*, Pradyumna Narayana<\/strong>, Arjun Akula<\/strong>, Garima Pruthi<\/strong>, Hao Su, Sugato Basu<\/strong>, Varun Jampani<\/strong><\/em>\n<\/p>\n<\/div>\n

<\/p>\n

ACL Findings papers<\/h2>\n
\n

\nMultilingual Summarization with Factual Consistency Evaluation<\/a>
\n
Roee Aharoni<\/b>, Shashi Narayan<\/b>, Joshua Maynez<\/b>, Jonathan Herzig<\/b>, Elizabeth Clark<\/b>, Mirella Lapata <\/b><\/em>\n<\/p>\n

\nParameter-Efficient Fine-Tuning for Robust Continual Multilingual Learning<\/a>
\n
Kartikeya Badola<\/b>, Shachi Dave<\/b>, Partha Talukdar<\/b><\/em>\n<\/p>\n

\nFiDO: Fusion-in-Decoder Optimized for Stronger Performance and Faster Inference<\/a>
\n
Michiel de Jong*, Yury Zemlyanskiy<\/strong>, Joshua Ainslie<\/strong>, Nicholas FitzGerald<\/strong>, Sumit Sanghai<\/strong>, Fei Sha<\/strong>, William Cohen<\/strong><\/em>\n<\/p>\n

\nA Simple, Yet Effective Approach to Finding Biases in Code Generation<\/a>
\n
Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski<\/strong><\/em>\n<\/p>\n

\nChallenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them<\/a>
\n
Mirac Suzgun<\/b>, Nathan Scales<\/b>, Nathanael Scharli<\/b>, Sebastian Gehrmann<\/b>, Yi Tay<\/b>, Hyung Won Chung<\/b>, Aakanksha Chowdhery<\/b>, Quoc Le<\/b>, Ed Chi<\/b>, Denny Zhou<\/b>, Jason Wei<\/b><\/em>\n<\/p>\n

\nQueryForm: A Simple Zero-Shot Form Entity Query Framework<\/a>
\n
Zifeng Wang*, Zizhao Zhang<\/strong>, Jacob Devlin<\/strong>, Chen-Yu Lee<\/strong>, Guolong Su<\/strong>, Hao Zhang<\/strong>, Jennifer Dy, Vincent Perot<\/strong>, Tomas Pfister<\/strong><\/em>\n<\/p>\n

\nReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval<\/a>
\n
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen<\/strong>, Chao Zhang<\/em>\n<\/p>\n

\nMultilingual Sequence-to-Sequence Models for Hebrew NLP<\/a>
\n
Matan Eyal<\/b>, Hila Noga<\/b>, Roee Aharoni<\/b>, Idan Szpektor<\/b>, Reut Tsarfaty<\/b><\/em>\n<\/p>\n

\nTriggering Multi-Hop Reasoning for Question Answering in Language Models Using Soft Prompts and Random Walks<\/a>
\n
Kanishka Misra*, Cicero Nogueira dos Santos<\/strong>, Siamak Shakeri<\/em>\n<\/p>\n<\/div>\n

<\/p>\n

Tutorials<\/h2>\n

<\/p>\n

Workshops<\/h2>\n

<\/p>\n

\n

\n *<\/b>\u00a0Work done while at Google<\/span><\/p>\n<\/div>\n

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Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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