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ACL 2023: Toronto, Canada
- Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023 - Nadezhda Chirkova, Germán Kruszewski, Jos Rozen, Marc Dymetman:
Should you marginalize over possible tokenizations? 1-12 - Naoki Yoshinaga:
Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie. 13-23 - Young Min Kim, Kalvin Chang, Chenxuan Cui, David R. Mortensen:
Transformed Protoform Reconstruction. 24-38 - Daniel Hardt:
Ellipsis-Dependent Reasoning: a New Challenge for Large Language Models. 39-47 - Zheng Tang, Mihai Surdeanu:
Bootstrapping Neural Relation and Explanation Classifiers. 48-56 - Franz Nowak, Ryan Cotterell:
A Fast Algorithm for Computing Prefix Probabilities. 57-69 - César González-Gutiérrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni:
Analyzing Text Representations by Measuring Task Alignment. 70-81 - Prashant Khare, Ravi Shekhar, Mladen Karan, Stephen McQuistin, Colin Perkins, Ignacio Castro, Gareth Tyson, Patrick Healey, Matthew Purver:
Tracing Linguistic Markers of Influence in a Large Online Organisation. 82-90 - Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin:
Metaphor Detection via Explicit Basic Meanings Modelling. 91-100 - Mingda Chen, Kevin Heffernan, Onur Çelebi, Alexandre Mourachko, Holger Schwenk:
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages. 101-109 - Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu:
Graph Propagation based Data Augmentation for Named Entity Recognition. 110-118 - Aru Maekawa, Naoki Kobayashi, Kotaro Funakoshi, Manabu Okumura:
Dataset Distillation with Attention Labels for Fine-tuning BERT. 119-127 - Ratish Surendran Puduppully, Parag Jain, Nancy Chen, Mark Steedman:
Multi-Document Summarization with Centroid-Based Pretraining. 128-138 - Andrea Gregor de Varda, Marco Marelli:
Scaling in Cognitive Modelling: a Multilingual Approach to Human Reading Times. 139-149 - Daking Rai, Bailin Wang, Yilun Zhou, Ziyu Yao:
Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques. 150-160 - Irene Li, Aosong Feng, Dragomir Radev, Rex Ying:
HiPool: Modeling Long Documents Using Graph Neural Networks. 161-171 - Michael Yoder, Ahmad Diab, David West Brown, Kathleen M. Carley:
A Weakly Supervised Classifier and Dataset of White Supremacist Language. 172-185 - Xin Liu, Muhammad Khalifa, Lu Wang:
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases. 186-200 - Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti, Mausam:
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark. 201-214 - Roni Rabin, Alexandre Djerbetian, Roee Engelberg, Lidan Hackmon, Gal Elidan, Reut Tsarfaty, Amir Globerson:
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment. 215-227 - Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap:
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts. 228-242 - Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro:
A Natural Bias for Language Generation Models. 243-255 - Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam:
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion. 256-269 - Xingtai Lv, Ning Ding, Yujia Qin, Zhiyuan Liu, Maosong Sun:
Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer. 270-282 - Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein:
Faithfulness Tests for Natural Language Explanations. 283-294 - Rohola Zandie, Diwanshu Shekhar, Mohammad H. Mahoor:
COGEN: Abductive Commonsense Language Generation. 295-302 - Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. 303-311 - Keith Harrigian, Ayah Zirikly, Brant Chee, Alya Ahmad, Anne Links, Somnath Saha, Mary Catherine Beach, Mark Dredze:
Characterization of Stigmatizing Language in Medical Records. 312-329 - Daniel Varab, Yumo Xu:
Abstractive Summarizers are Excellent Extractive Summarizers. 330-339 - Himanshu Thakur, Atishay Jain, Praneetha Vaddamanu, Paul Pu Liang, Louis-Philippe Morency:
Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions. 340-351 - Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. 352-365 - Yasmine Karoui, Rémi Lebret, Negar Foroutan Eghlidi, Karl Aberer:
Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages. 366-375 - Jie He, Simon Chi Lok U, Víctor Gutiérrez-Basulto, Jeff Z. Pan:
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering. 376-387 - Haozhe An, Rachel Rudinger:
Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases. 388-401 - Weicheng Ma, Brian Wang, Hefan Zhang, Lili Wang, Rolando Coto-Solano, Saeed Hassanpour, Soroush Vosoughi:
Improving Syntactic Probing Correctness and Robustness with Control Tasks. 402-415 - Jatin Arora, Youngja Park:
Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications. 416-426 - Denis Peskoff, Brandon M. Stewart:
Credible without Credit: Domain Experts Assess Generative Language Models. 427-438 - Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning:
Grokking of Hierarchical Structure in Vanilla Transformers. 439-448 - Ujan Deb, Ridayesh Parab, Preethi Jyothi:
Zero-shot Cross-lingual Transfer With Learned Projections Using Unlabeled Target-Language Data. 449-457 - Luca Di Liello, Siddhant Garg, Alessandro Moschitti:
Context-Aware Transformer Pre-Training for Answer Sentence Selection. 458-468 - Zhihong Chen, Maya Varma, Xiang Wan, Curtis P. Langlotz, Jean-Benoit Delbrouck:
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities. 469-484 - Louis Blankemeier, Jason A. Fries, Robert Tinn, Joseph Preston, Nigam Shah, Akshay Chaudhari:
Efficient Diagnosis Assignment Using Unstructured Clinical Notes. 485-494 - Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin Yang, Kai-Wei Chang:
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models. 495-508 - Francisco Valentini, Germán Rosati, Damián E. Blasi, Diego Fernández Slezak, Edgar Altszyler:
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach. 509-520 - Ehsan Doostmohammadi, Tobias Norlund, Marco Kuhlmann, Richard Johansson:
Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models. 521-529 - Anastasia Razdaibiedina, Aleksander Brechalov:
MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents. 530-539 - Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. 540-553 - Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai, Heng Ji:
Measuring the Effect of Influential Messages on Varying Personas. 554-562 - Hongwei Wang, Dong Yu:
Going Beyond Sentence Embeddings: A Token-Level Matching Algorithm for Calculating Semantic Textual Similarity. 563-570 - Pengcheng Zhu, Wei Zhou, Kuncai Zhang, Yuankai Ma, Haiqing Chen:
Robust Learning for Multi-party Addressee Recognition with Discrete Addressee Codebook. 571-578 - Tyler Loakman, Chen Tang, Chenghua Lin:
TwistList: Resources and Baselines for Tongue Twister Generation. 579-589 - Dallas Card:
Substitution-based Semantic Change Detection using Contextual Embeddings. 590-602 - Kazushi Kondo, Saku Sugawara, Akiko Aizawa:
Probing Physical Reasoning with Counter-Commonsense Context. 603-612 - David Guriel, Omer Goldman, Reut Tsarfaty:
Morphological Inflection with Phonological Features. 613-622 - Hanming Wu, Wenjuan Han, Hui Di, Yufeng Chen, Jinan Xu:
A Holistic Approach to Reference-Free Evaluation of Machine Translation. 623-636 - Jeewoo Sul, Yong Suk Choi:
Balancing Lexical and Semantic Quality in Abstractive Summarization. 637-647 - Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori, Asim Munawar, Alexander Gray:
Learning Neuro-Symbolic World Models with Conversational Proprioception. 648-656 - Yahan Yang, Soham Dan, Dan Roth, Insup Lee:
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. 657-669 - Amirhossein Abaskohi, Sascha Rothe, Yadollah Yaghoobzadeh:
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning. 670-681 - Mathias Müller, Zifan Jiang, Amit Moryossef, Annette Rios, Sarah Ebling:
Considerations for meaningful sign language machine translation based on glosses. 682-693 - Daniel N. Sosa, Malavika Suresh, Christopher Potts, Russ B. Altman:
Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature. 694-713 - Arthur Amalvy, Vincent Labatut, Richard Dufour:
The Role of Global and Local Context in Named Entity Recognition. 714-722 - Elizabeth Spaulding, Gary Kazantsev, Mark Dredze:
Joint End-to-end Semantic Proto-role Labeling. 723-736 - Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst, Adam Hammond:
Improving Automatic Quotation Attribution in Literary Novels. 737-746 - Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. 747-761 - Marcos Zampieri, Skye Morgan, Kai North, Tharindu Ranasinghe, Austin Simmmons, Paridhi Khandelwal, Sara Rosenthal, Preslav Nakov:
Target-Based Offensive Language Identification. 762-770 - David Ponce, Thierry Etchegoyhen, Victor Ruiz Gómez:
Unsupervised Subtitle Segmentation with Masked Language Models. 771-781 - Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. 782-792 - Seyed Morteza Mirbostani, Yasaman Boreshban, Salam Khalifa, Seyed Abolghasem Mirroshandel, Owen Rambow:
Deep Active Learning for Morphophonological Processing. 793-803 - Jiaxuan Li, Lang Yu, Allyson Ettinger:
Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios. 804-815 - Yash Madhani, Mitesh M. Khapra, Anoop Kunchukuttan:
Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages. 816-826 - Etienne Fortier-Dubois, Domenic Rosati:
Using contradictions improves question answering systems. 827-840 - Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao:
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. 841-850 - Dongkeun Yoon, Joel Jang, Sungdong Kim, Minjoon Seo:
Gradient Ascent Post-training Enhances Language Model Generalization. 851-864 - Laurie Burchell, Alexandra Birch, Nikolay Bogoychev, Kenneth Heafield:
An Open Dataset and Model for Language Identification. 865-879 - Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak:
Evaluating Paraphrastic Robustness in Textual Entailment Models. 880-892 - Chenming Tang, Xiuyu Wu, Yunfang Wu:
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction? 893-901 - Tanay Dixit, Fei Wang, Muhao Chen:
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality. 902-913 - Julius Steen, Juri Opitz, Anette Frank, Katja Markert:
With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness. 914-924 - Carina Kauf, Anna A. Ivanova:
A Better Way to Do Masked Language Model Scoring. 925-935 - Michael Heck, Nurul Lubis, Benjamin Matthias Ruppik, Renato Vukovic, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Milica Gasic:
ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity? 936-950 - Maximillian Chen, Xiao Yu, Weiyan Shi, Urvi Awasthi, Zhou Yu:
Controllable Mixed-Initiative Dialogue Generation through Prompting. 951-966 - Feiteng Mu, Wenjie Li:
Enhancing Event Causality Identification with Counterfactual Reasoning. 967-975 - Shudi Hou, Yu Xia, Muhao Chen, Sujian Li:
Contrastive Bootstrapping for Label Refinement. 976-985 - Iyanuoluwa Shode, David Ifeoluwa Adelani, Jing Peng, Anna Feldman:
NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification. 986-998 - Samuel Mensah, Kai Sun, Nikolaos Aletras:
Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement. 999-1007 - Robert Jimerson, Zoey Liu, Emily Prud'hommeaux:
An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language. 1008-1016 - Matthias Orlikowski, Paul Röttger, Philipp Cimiano, Dirk Hovy:
The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics. 1017-1029 - Aditya Bhargava, Gerald Penn:
Decomposed scoring of CCG dependencies. 1030-1040 - Vikas Raunak, Arul Menezes, Matt Post, Hany Hassan:
Do GPTs Produce Less Literal Translations? 1041-1050 - Dominik Stammbach, Nicolas Webersinke, Julia Anna Bingler, Mathias Kraus, Markus Leippold:
Environmental Claim Detection. 1051-1066 - Ondrej Cífka, Antoine Liutkus:
Black-box language model explanation by context length probing. 1067-1079 - Sirui Wang, Kaiwen Wei, Hongzhi Zhang, Yuntao Li, Wei Wu:
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation. 1080-1088 - Ricardo Rei, Nuno Miguel Guerreiro, Marcos V. Treviso, Luísa Coheur, Alon Lavie, André F. T. Martins:
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics. 1089-1105 - Panuthep Tasawong, Wuttikorn Ponwitayarat, Peerat Limkonchotiwat, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong:
Typo-Robust Representation Learning for Dense Retrieval. 1106-1115 - Congda Ma, Tianyu Zhao, Makoto Shing, Kei Sawada, Manabu Okumura:
Focused Prefix Tuning for Controllable Text Generation. 1116-1127 - Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen:
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. 1128-1136 - Yu Xia, Yongwei Zhao, Wenhao Wu, Sujian Li:
Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood. 1137-1148 - Lucas Torroba Hennigen, Yoon Kim:
Deriving Language Models from Masked Language Models. 1149-1159 - Zhiming Mao, Huimin Wang, Yiming Du, Kam-Fai Wong:
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation. 1160-1170 - Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. 1171-1182 - Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander Rudnicky, Peter J. Ramadge:
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings. 1183-1193 - Mira Ait Saada, Mohamed Nadif:
Is Anisotropy Truly Harmful? A Case Study on Text Clustering. 1194-1203 - Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Nguyen, Anh T. V. Dau, Nghi D. Q. Bui:
Class based Influence Functions for Error Detection. 1204-1218 - Ruining Chong, Cunliang Kong, Liu Wu, Zhenghao Liu, Ziye Jin, Liner Yang, Yange Fan, Hanghang Fan, Erhong Yang:
Leveraging Prefix Transfer for Multi-Intent Text Revision. 1219-1228 - Tianduo Wang, Wei Lu:
Learning Multi-Step Reasoning by Solving Arithmetic Tasks. 1229-1238 - Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang:
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. 1239-1248 - Zahra Fatemi, Chen Xing, Wenhao Liu, Caiming Xiong:
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting. 1249-1262 - Yijia Shao, Yiduo Guo, Dongyan Zhao, Bing Liu:
Class-Incremental Learning based on Label Generation. 1263-1276 - Polina Tsvilodub, Michael Franke:
Evaluating pragmatic abilities of image captioners on A3DS. 1277-1285 - Sijia Wang, Mo Yu, Lifu Huang:
The Art of Prompting: Event Detection based on Type Specific Prompts. 1286-1299 - Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu, Sadao Kurohashi:
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation. 1300-1316 - Po-Nien Kung, Nanyun Peng:
Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning. 1317-1328 - James O'Neill, Sourav Dutta:
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models. 1329-1339 - Yuchen Han, Chen Xu, Tong Xiao, Jingbo Zhu:
Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation. 1340-1348 - Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu:
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. 1349-1358 - Ziru Chen, Shijie Chen, Michael White, Raymond J. Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun:
Text-to-SQL Error Correction with Language Models of Code. 1359-1372 - Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang:
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. 1373-1386 - Chantal Shaib, Millicent L. Li, Sebastian Joseph, Iain James Marshall, Junyi Jessy Li, Byron C. Wallace:
Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success). 1387-1407 - Jonathan Li, Will Aitken, Rohan Bhambhoria, Xiaodan Zhu:
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences. 1408-1419 - Shih-Lun Wu, Yi-Hui Chou, Liangze Li:
Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain. 1420-1432 - Baikjin Jung, Myungji Lee, Jong-Hyeok Lee, Yunsu Kim:
Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations. 1433-1441 - Hang Yan, Yu Sun, Xiaonan Li, Xipeng Qiu:
An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition. 1442-1452 - Afra Amini, Tianyu Liu, Ryan Cotterell:
Hexatagging: Projective Dependency Parsing as Tagging. 1453-1464 - Ruiyi Zhang, Tong Yu:
Understanding Demonstration-based Learning from a Causal Perspective. 1465-1475 - Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde:
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. 1476-1490 - Haoyang Wen, Alexander G. Hauptmann:
Zero-Shot and Few-Shot Stance Detection on Varied Topics via Conditional Generation. 1491-1499 - Swanie Juhng, Matthew Matero, Vasudha Varadarajan, Johannes C. Eichstaedt, Adithya V. Ganesan, H. Andrew Schwartz:
Discourse-Level Representations can Improve Prediction of Degree of Anxiety. 1500-1511 - Mustafa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta:
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. 1512-1521 - Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng, Sadao Kurohashi:
MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting. 1522-1532 - Weiwen Xu, Xin Li, Wai Lam, Lidong Bing:
mPMR: A Multilingual Pre-trained Machine Reader at Scale. 1533-1546 - Kexin Wang, Yunlong Zhao, Qianqian Dong, Tom Ko, Mingxuan Wang:
MOSPC: MOS Prediction Based on Pairwise Comparison. 1547-1556 - Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert, Gonzalo Iglesias:
LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering. 1557-1566 - Jiang Li, Xiangdong Su, Xinlan Ma, Guanglai Gao:
How Well Apply Simple MLP to Incomplete Utterance Rewriting? 1567-1576 - Pierluigi Cassotti, Lucia Siciliani, Marco de Gemmis, Giovanni Semeraro, Pierpaolo Basile:
XL-LEXEME: WiC Pretrained Model for Cross-Lingual LEXical sEMantic changE. 1577-1585 - Arya D. McCarthy, Giovanna Maria Dora Dore:
Theory-Grounded Computational Text Analysis. 1586-1594 - Abelardo Carlos Martinez Lorenzo, Pere-Lluís Huguet Cabot, Roberto Navigli:
AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing. 1595-1605 - Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu:
MolXPT: Wrapping Molecules with Text for Generative Pre-training. 1606-1616 - Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. 1617-1626 - Edwin Agnew, Michelle Qiu, Lily Zhu, Sam Wiseman, Cynthia Rudin:
The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation. 1627-1638 - Anuj Diwan, Eunsol Choi, David Harwath:
When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants. 1639-1650 - Erica Cai, Brendan T. O'Connor:
Evaluating Zero-Shot Event Structures: Recommendations for Automatic Content Extraction (ACE) Annotations. 1651-1665 - Di Lu, Shihao Ran, Joel R. Tetreault, Alejandro Jaimes:
Event Extraction as Question Generation and Answering. 1666-1688 - Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia:
Are Sample-Efficient NLP Models More Robust? 1689-1709 - Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini:
Diversity-Aware Coherence Loss for Improving Neural Topic Models. 1710-1722 - Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith:
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. 1723-1730 - Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu:
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. 1731-1740 - Bin Sun, Yitong Li, Fei Mi, Fanhu Bie, Yiwei Li, Kan Li:
Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue. 1741-1750 - Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang:
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models. 1751-1762 - Michel Plüss, Jan Deriu, Yanick Schraner, Claudio Paonessa, Julia Hartmann, Larissa Schmidt, Christian Scheller, Manuela Hürlimann, Tanja Samardzic, Manfred Vogel, Mark Cieliebak:
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions. 1763-1772 - Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn:
Teaching Small Language Models to Reason. 1773-1781 - Rohan Bhambhoria, Lei Chen, Xiaodan Zhu:
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification. 1782-1792 - Linlin Zhang, Kai Fan, Boxing Chen, Luo Si:
A Simple Concatenation can Effectively Improve Speech Translation. 1793-1802 - Jingyuan Selena She, Christopher Potts, Samuel R. Bowman, Atticus Geiger:
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning. 1803-1821 - Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Yarin Gal:
Revisiting Automated Prompting: Are We Actually Doing Better? 1822-1832 - Ananya Ganesh, Jie Cao, E. Margaret Perkoff, Rosy Southwell, Martha Palmer, Katharina Kann:
Mind the Gap between the Application Track and the Real World. 1833-1842 - Xinpeng Wang, Leonie Weissweiler, Hinrich Schütze, Barbara Plank:
How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives. 1843-1852 - Anastasiia Sedova, Benjamin Roth:
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion. 1853-1863 - Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao:
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. 1864-1875 - Yu-Chen Lin, Si-An Chen, Jie-Jyun Liu, Chih-Jen Lin:
Linear Classifier: An Often-Forgotten Baseline for Text Classification. 1876-1888 - Anian Ruoss, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Róbert Csordás, Mehdi Bennani, Shane Legg, Joel Veness:
Randomized Positional Encodings Boost Length Generalization of Transformers. 1889-1903 - Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models. 1904-1917 - Chao Lou, Kewei Tu:
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints. 1918-1929 - Yiming Ai, Zhiwei He, Kai Yu, Rui Wang:
TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation. 1930-1941
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