语言大模型 / LLM

DORE: Document Ordered Relation Extraction based on Generative Framework

Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Findings of EMNLP 2022

Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC

Ze Chen, Kangxu Wang, Zijian Cai, Jiewen Zheng, Jiarong He, Max Gao, Jason Zhang

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

MAEEG: Masked Auto-encoder for EEG Representation Learning

Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng

专题命中 知识编辑与模型理解 ：pretraining(abstract)；分类 cs.LG

Comments 10 pages, 5 figures, accepted by Workshop on Learning from Time Series for Health, NeurIPS2022 as poster presentation

Probing Statistical Representations For End-To-End ASR

Anna Ollerenshaw, Md Asif Jalal, Thomas Hain

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Submitted to ICASSP 2023

A Transformer-based Framework for POI-level Social Post Geolocation

Menglin Li, Kwan Hui Lim, Teng Guo, Junhua Liu

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.AI

Comments Full papers are 12 pages in length plus additional 4 pages for references (turns to 18 pages in total after submitting to arxiv). One figure and 5 tables are contained. This paper was submitted to ECIR 2023 for review

RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild

Weiyao Wang, Byung-Hak Kim, Varun Ganapathi

专题命中 知识编辑与模型理解 ：pretraining(abstract)；分类 cs.LG

Comments To be presented at the 36th Conference on Neural Information Processing Systems, New Orleans, USA, on December 2, 2022, at the First Table Representation Learning (TRL) Workshop

Differentiable Data Augmentation for Contrastive Sentence Representation Learning

Tianduo Wang, Wei Lu

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Accepted to EMNLP 2022. The code and pre-trained models are available at https://github.com/TianduoWang/DiffAug

Probing for targeted syntactic knowledge through grammatical error detection

Christopher Davis, Christopher Bryant, Andrew Caines, Marek Rei, Paula Buttery

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments CoNLL 2022

Pre-Training a Graph Recurrent Network for Language Representation

Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments NeurIPS Efficient Natural Language and Speech Processing (ENLSP) Workshop 2022

Transforming Sequence Tagging Into A Seq2Seq Task

Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Accepted at EMNLP 2022

Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction

Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Findings of EMNLP 2022; The first two authors contributed equally

Journal ref Findings of EMNLP 2022

Representation Learning for Resource-Constrained Keyphrase Generation

Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments EMNLP 2022 (Findings)

Sentence Representation Learning with Generative Objective rather than Contrastive Objective

Bohong Wu, Hai Zhao

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Accepted by the Main Conference of EMNLP 2022, long paper. arXiv admin note: substantial text overlap with arXiv:2204.09358

Generative or Contrastive? Phrase Reconstruction for Better Sentence Representation Learning

Bohong Wu, Hai Zhao

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments A new version with significant changes of this paper is submitted recently

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis

Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Accepted to EMNLP 2022

SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation

Woo Suk Choi, Yu-Jung Heo, Byoung-Tak Zhang

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.LG

Comments 7 pages, 3 figures, 3 tables

Sentence Ambiguity, Grammaticality and Complexity Probes

Sunit Bhattacharya, Vilém Zouhar, Ondřej Bojar

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Accepted at BlackboxNLP @ EMNLP 2022

Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders

Ivan Vulić, Goran Glavaš, Fangyu Liu, Nigel Collier, Edoardo Maria Ponti, Anna Korhonen

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Explaining Predictive Uncertainty by Looking Back at Model Explanations

Hanjie Chen, Wanyu Du, Yangfeng Ji

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Probing of Quantitative Values in Abstractive Summarization Models

Nathan M. White

专题命中 知识编辑与模型理解 ：pretraining(abstract)；分类 cs.CL

Comments 9 pages

A Contrastive Framework for Neural Text Generation

Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments NeurIPS 2022

Semantic-based Pre-training for Dialogue Understanding

Xuefeng Bai, Linfeng Song, Yue Zhang

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Accepted as oral in COLING2022

VIPHY: Probing "Visible" Physical Commonsense Knowledge

Shikhar Singh, Ehsan Qasemi, Muhao Chen

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments In Progress (under review)

PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack

Junxuan Huang, Yatong An, Lu cheng, Bai Chen, Junsong Yuan, Chunming Qiao

专题命中 知识编辑与模型理解 ：pretraining(abstract)；分类 cs.AI

Comments arXiv admin note: text overlap with arXiv:2109.00179 by other authors

MVPTR: Multi-Level Semantic Alignment for Vision-Language Pre-Training via Multi-Stage Learning

Zejun Li, Zhihao Fan, Huaixiao Tou, Jingjing Chen, Zhongyu Wei, Xuanjing Huang

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.AI

Comments Accepted by ACM MM22

Bitext Mining for Low-Resource Languages via Contrastive Learning

Weiting Tan, Philipp Koehn

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Lost in Context? On the Sense-wise Variance of Contextualized Word Embeddings

Yile Wang, Yue Zhang

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Bayesian Modeling of Language-Evoked Event-Related Potentials

Davide Turco, Conor Houghton

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Accepted at the 2022 Conference on Cognitive Computational Neuroscience (CCN 2022)

Analyzing Gender Representation in Multilingual Models

Hila Gonen, Shauli Ravfogel, Yoav Goldberg

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Published at RepL4NLP 2022

Masked Autoencoders As The Unified Learners For Pre-Trained Sentence Representation

Alexander Liu, Samuel Yang

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL