语言大模型 / LLM

CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning

Zhaoheng Zheng, Haidong Zhu, Ram Nevatia

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)

Comments WACV 2024 Camera Ready

What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies

Amit Gajbhiye, Zied Bouraoui, Na Li, Usashi Chatterjee, Luis Espinosa Anke, Steven Schockaert

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

Comments Accepted for EMNLP 2023

Time-Aware Representation Learning for Time-Sensitive Question Answering

Jungbin Son, Alice Oh

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

Comments 2023 EMNLP Findings

Stochastic spin-orbit-torque synapse and its application in uncertainty quantification

Cen Wang, Guang Zeng, Xinyu Wen, Yuhui He, Wei Luo, Shiwei Chen, Shiheng Liang, Yue Zhang

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)

Static Code Analysis in the AI Era: An In-depth Exploration of the Concept, Function, and Potential of Intelligent Code Analysis Agents

Gang Fan, Xiaoheng Xie, Xunjin Zheng, Yinan Liang, Peng Di

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)

SCAR: Power Side-Channel Analysis at RTL-Level

Amisha Srivastava, Sanjay Das, Navnil Choudhury, Rafail Psiakis, Pedro Henrique Silva, Debjit Pal, Kanad Basu

专题命中 知识编辑与模型理解 ：LLM(abstract)；language model(abstract)

A Text Classification-Based Approach for Evaluating and Enhancing the Machine Interpretability of Building Codes

Zhe Zheng, Yu-Cheng Zhou, Ke-Yin Chen, Xin-Zheng Lu, Zhong-Tian She, Jia-Rui Lin

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

Journal ref Engineering Applications of Artificial Intelligence, 2024

Nugget: Neural Agglomerative Embeddings of Text

Guanghui Qin, Benjamin Van Durme

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

Comments Appeared at ICML 2023

Journal ref ICML 2023

Uncertainty in Natural Language Generation: From Theory to Applications

Joris Baan, Nico Daheim, Evgenia Ilia, Dennis Ulmer, Haau-Sing Li, Raquel Fernández, Barbara Plank, Rico Sennrich, Chrysoula Zerva, Wilker Aziz

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

Can In-context Learners Learn a Reasoning Concept from Demonstrations?

Michal Štefánik, Marek Kadlčík

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

Comments Awarded Best Paper at ACL 2023 Natural Language Reasoning and Structured Explanations (NLRSE) workshop

Exploring the Representation Power of SPLADE Models

Joel Mackenzie, Shengyao Zhuang, Guido Zuccon

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)

Comments 4 pages, accepted at ICTIR2023

Explainable and Discourse Topic-aware Neural Language Understanding

Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta

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

Comments Accepted at ICML2020 (13 pages, 2 figures)

Large-Scale Cell Representation Learning via Divide-and-Conquer Contrastive Learning

Suyuan Zhao, Jiahuan Zhang, Zaiqing Nie

专题命中 知识编辑与模型理解 ：LLM(abstract)；language model(abstract)

All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations

Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell

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

Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition

Haojun Xu, Yan Gao, Zheng Hui, Jie Li, Xinbo Gao

专题命中 知识编辑与模型理解 ：LLM(abstract)；language model(abstract)

Comments first upload with 13 pages and 8 figures

A New Information Theory of Certainty for Machine Learning

Arthur Jun Zhang

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

Comments 24 pages, 3 figures, 1 table

Opportunities and challenges of ChatGPT for design knowledge management

Xin Hu, Yu Tian, Keisuke Nagato, Masayuki Nakao, Ang Liu

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)

Comments This is a conference paper, 8 pages, 4 figures

Audio Visual Language Maps for Robot Navigation

Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard

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

Comments Project page: https://avlmaps.github.io/

Conceptualized Representation Learning for Chinese Biomedical Text Mining

Ningyu Zhang, Qianghuai Jia, Kangping Yin, Liang Dong, Feng Gao, Nengwei Hua

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

Comments WSDM2020 Health Day

SPE: Symmetrical Prompt Enhancement for Fact Probing

Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi

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

Comments accepted at EMNLP 2022

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Kevin Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt

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

Do LSTMs See Gender? Probing the Ability of LSTMs to Learn Abstract Syntactic Rules

Priyanka Sukumaran, Conor Houghton, Nina Kazanina

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

Comments Accepted at EMNLP 2022 Workshop BlackBoxNLP: Analysing and Interpreting Neural Networks for NLP

Few-shot Text Classification with Dual Contrastive Consistency

Liwen Sun, Jiawei Han

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

Comments 8 pages, 2 figures, under review

Unsupervised Hashing with Semantic Concept Mining

Rong-Cheng Tu, Xian-Ling Mao, Kevin Qinghong Lin, Chengfei Cai, Weize Qin, Hongfa Wang, Wei Wei, Heyan Huang

专题命中 知识编辑与模型理解 ：pretraining(abstract)；prompting(abstract)

Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings

Yichao Liang

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

Comments Technical report written in 2020

Comparing Performance of Different Linguistically-Backed Word Embeddings for Cyberbullying Detection

Juuso Eronen, Michal Ptaszynski, Fumito Masui

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

Journal ref Proceedings of the 2021 International Workshop on Modern Science and Technology, September 29, 2021

BayesFormer: Transformer with Uncertainty Estimation

Karthik Abinav Sankararaman, Sinong Wang, Han Fang

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

Improving Contextual Representation with Gloss Regularized Pre-training

Yu Lin, Zhecheng An, Peihao Wu, Zejun Ma

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

Comments Accepted to Findings of NAACL 2022

Modelling the semantics of text in complex document layouts using graph transformer networks

Thomas Roland Barillot, Jacob Saks, Polena Lilyanova, Edward Torgas, Yachen Hu, Yuanqing Liu, Varun Balupuri, Paul Gaskell

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

Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies

Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M Phillips, Kai-Wei Chang

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

Journal ref EMNLP 2021