语言大模型 / LLM

Knowledge-augmented Frame Semantic Parsing with Hybrid Prompt-tuning

Rui Zhang, Yajing Sun, Jingyuan Yang, Wei Peng

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

Comments accepted by ICASSP 2023

TQ-Net: Mixed Contrastive Representation Learning For Heterogeneous Test Questions

He Zhu, Xihua Li, Xuemin Zhao, Yunbo Cao, Shan Yu

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

Comments This paper has been accepted for the AAAI2023 AI4Edu Workshop

Improving CTC-based ASR Models with Gated Interlayer Collaboration

Yuting Yang, Yuke Li, Binbin Du

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

Comments Accepted by ICASSP 2023

Succinct Representations for Concepts

Yang Yuan

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

BrainBERT: Self-supervised representation learning for intracranial recordings

Christopher Wang, Vighnesh Subramaniam, Adam Uri Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu

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

Comments 9 pages, 6 figures, ICLR 2023

Retrieved Sequence Augmentation for Protein Representation Learning

Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong

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

Improving Adaptive Conformal Prediction Using Self-Supervised Learning

Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar

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

Comments Accepted to the International Conference on Artificial Intelligence and Statistics (AISTATS 2023). *Seedat & Jeffares contributed equally

What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers

Ido Galil, Mohammed Dabbah, Ran El-Yaniv

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

Comments Published in ICLR 2023. arXiv admin note: substantial text overlap with arXiv:2206.02152

Journal ref International Conference on Learning Representations (2023)

Which models are innately best at uncertainty estimation?

Ido Galil, Mohammed Dabbah, Ran El-Yaniv

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

Comments Due to the comprehensive nature of this paper, it has been updated and split into two separate papers: "A Framework For Benchmarking Class-out-of-distribution Detection And Its Application To ImageNet" and "What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers". We recommend reading them instead

Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval

Ben Chen, Linbo Jin, Xinxin Wang, Dehong Gao, Wen Jiang, Wei Ning

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

Comments Accepted in The Web Conference (WWW2023) Industry Track. 5 pages, 3 figures

Tree-Based Representation and Generation of Natural and Mathematical Language

Alexander Scarlatos, Andrew Lan

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

Deep Learning Models to Study Sentence Comprehension in the Human Brain

Sophie Arana, Jacques Pesnot Lerousseau, Peter Hagoort

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

Contrastive Search Is What You Need For Neural Text Generation

Yixuan Su, Nigel Collier

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

Comments TMLR'23

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders

Yupeng Hou, Zhankui He, Julian McAuley, Wayne Xin Zhao

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

Comments Accepted by TheWebConf (WWW) 2023

Better Pre-Training by Reducing Representation Confusion

Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin

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

Comments EACL 2023(Findings)

Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching

Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee

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

Comments 20 pages, 10 figures, NeurIPS 2022

Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement

Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé

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

Comments To appear in TACL 2022 and EMNLP 2022

Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers

Qihao Zhu, Xinyu Zhang, Jianxi Luo

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

Comments Accepted by J. Mech. Des. arXiv admin note: substantial text overlap with arXiv:2204.09714

Reconstruction Probing

Najoung Kim, Jatin Khilnani, Alex Warstadt, Abed Qaddoumi

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

Comments Preprint

Improving self-supervised representation learning via sequential adversarial masking

Dylan Sam, Min Bai, Tristan McKinney, Li Erran Li

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

Comments 9 pages, 2 figures, Presented at NeurIPS 2022 SSL: Theory and Practice Workshop

Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification

Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu

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

Comments Accepted to the First Learning on Graph Conference (LoG 2022)

Self-supervised Graph Representation Learning for Black Market Account Detection

Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji

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

Comments WSDM 2023. This is the complete version containing the appendix

Exploring Stochastic Autoregressive Image Modeling for Visual Representation

Yu Qi, Fan Yang, Yousong Zhu, Yufei Liu, Liwei Wu, Rui Zhao, Wei Li

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

Comments Accepted by AAAI 2023

Compound Tokens: Channel Fusion for Vision-Language Representation Learning

Maxwell Mbabilla Aladago, AJ Piergiovanni

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

Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity

Pritam Sarkar, Ali Etemad

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

Comments Accepted in AAAI 2023

Neural Embeddings for Text

Oleg Vasilyev, John Bohannon

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

Comments 27 pages, 18 figures, 19 tables, appendixes A-H

Named Entity Linking with Entity Representation by Multiple Embeddings

Oleg Vasilyev, Alex Dauenhauer, Vedant Dharnidharka, John Bohannon

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

Comments 12 pages, 14 figures, 2 tables

Simulating realistic speech overlaps improves multi-talker ASR

Muqiao Yang, Naoyuki Kanda, Xiaofei Wang, Jian Wu, Sunit Sivasankaran, Zhuo Chen, Jinyu Li, Takuya Yoshioka

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

Comments v2: fix minor typo

ConceptX: A Framework for Latent Concept Analysis

Firoj Alam, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Abdul Rafae Khan, Jia Xu

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

Comments AAAI 23

Probabilistic thermal stability prediction through sparsity promoting transformer representation

Yevgen Zainchkovskyy, Jesper Ferkinghoff-Borg, Anja Bennett, Thomas Egebjerg, Nikolai Lorenzen, Per Jr. Greisen, Søren Hauberg, Carsten Stahlhut

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