语言大模型 / LLM

OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation

Xiongwei Wu, Sicheng Yu, Ee-Peng Lim, Chong-Wah Ngo

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

Comments CVPR 2024; 12 pages

Towards Universal Fake Image Detectors that Generalize Across Generative Models

Utkarsh Ojha, Yuheng Li, Yong Jae Lee

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

OpenGraph: Open-Vocabulary Hierarchical 3D Graph Representation in Large-Scale Outdoor Environments

Yinan Deng, Jiahui Wang, Jingyu Zhao, Xinyu Tian, Guangyan Chen, Yi Yang, Yufeng Yue

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

Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding

Zichen Wu, Hsiu-Yuan Huang, Fanyi Qu, Yunfang Wu

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

Comments LREC-COLING 2024, Long Paper

Two-step Automated Cybercrime Coded Word Detection using Multi-level Representation Learning

Yongyeon Kim, Byung-Won On, Ingyu Lee

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

A Multilingual Perspective on Probing Gender Bias

Karolina Stańczak

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

Comments Ph.D. Thesis

Boundary Matters: A Bi-Level Active Finetuning Framework

Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan

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

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics

Tyler A. Chang, Katrin Tomanek, Jessica Hoffmann, Nithum Thain, Erin van Liemt, Kathleen Meier-Hellstern, Lucas Dixon

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

Comments Accepted at LREC-COLING 2024

Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation

Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu

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

Comments Accepted by AAAI 2023

DNAct: Diffusion Guided Multi-Task 3D Policy Learning

Ge Yan, Yueh-Hua Wu, Xiaolong Wang

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

Tree-Regularized Tabular Embeddings

Xuan Li, Yun Wang, Bo Li

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

Comments Table Representation Learning Workshop at NeurIPS 2023

PIDformer: Transformer Meets Control Theory

Tam Nguyen, César A. Uribe, Tan M. Nguyen, Richard G. Baraniuk

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

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving

Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang

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

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition

Chun-Hsiao Yeh, Ta-Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, H. T. Kung, Yubei Chen

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

Comments Preprint; Project Page: https://danielchyeh.github.io/Gen4Gen/

The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning

Nik Vaessen, David A. van Leeuwen

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

OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data

Chengcheng Wei, Ze Chen, Songtan Fang, Jiarong He, Max Gao

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

BMX: Boosting Natural Language Generation Metrics with Explainability

Christoph Leiter, Hoa Nguyen, Steffen Eger

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

Comments Accepted to Findings of EACL 2024

Deep Manifold Transformation for Protein Representation Learning

Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li

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

Comments This work has been accepted by ICASSP 2024

Understanding the Role of Layer Normalization in Label-Skewed Federated Learning

Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen

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

Comments accepted at TMLR

Pixel Sentence Representation Learning

Chenghao Xiao, Zhuoxu Huang, Danlu Chen, G Thomas Hudson, Yizhi Li, Haoran Duan, Chenghua Lin, Jie Fu, Jungong Han, Noura Al Moubayed

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

Making first order linear logic a generating grammar

Sergey Slavnov

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

Journal ref Logical Methods in Computer Science, Volume 19, Issue 4 (November 17, 2023) lmcs:9727

Model Editing with Canonical Examples

John Hewitt, Sarah Chen, Lanruo Lora Xie, Edward Adams, Percy Liang, Christopher D. Manning

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

Multi-modal Causal Structure Learning and Root Cause Analysis

Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen

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

Comments Accepted by the Web Conference 2024

The Reasoning Under Uncertainty Trap: A Structural AI Risk

Toby D. Pilditch

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

Comments 51 pages (excluding references), 7 chapters, 9 figures

The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMs

Paul Youssef, Jörg Schlötterer, Christin Seifert

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

Comments Accepted to EACL Findings 2024

Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization

Andreas Waldis, Yufang Hou, Iryna Gurevych

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

Comments EACL 2024

In-Context Learning for Few-Shot Nested Named Entity Recognition

Meishan Zhang, Bin Wang, Hao Fei, Min Zhang

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

Comments 5 figures

Journal ref ICASSP 2024

EnCLAP: Combining Neural Audio Codec and Audio-Text Joint Embedding for Automated Audio Captioning

Jaeyeon Kim, Jaeyoon Jung, Jinjoo Lee, Sang Hoon Woo

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

Comments Accepted to ICASSP 2024

Anisotropy Is Inherent to Self-Attention in Transformers

Nathan Godey, Éric de la Clergerie, Benoît Sagot

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

Comments Proceedings of EACL 2024. A previous version of the paper, published as arXiv:2306.07656, was presented at ACL-SRW 2023 (non-archival)

Latent State Models of Training Dynamics

Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho

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

Comments Accepted at TMLR 2023. Updated Jan 19, 2024 with erratum