语言大模型 / LLM

Evaluating the Semantic Profiling Abilities of LLMs for Natural Language Utterances in Data Visualization

Hannah K. Bako, Arshnoor Bhutani, Xinyi Liu, Kwesi A. Cobbina, Zhicheng Liu

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

Comments 5 pages, 4 figures, IEEE VIS short papers

Context Graph

Chengjin Xu, Muzhi Li, Cehao Yang, Xuhui Jiang, Lumingyuan Tang, Yiyan Qi, Jian Guo

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

Fine-tuned network relies on generic representation to solve unseen cognitive task

Dongyan Lin

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

Converging Dimensions: Information Extraction and Summarization through Multisource, Multimodal, and Multilingual Fusion

Pranav Janjani, Mayank Palan, Sarvesh Shirude, Ninad Shegokar, Sunny Kumar, Faruk Kazi

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

Comments 11 pages, 3 figures

MEMLA: Enhancing Multilingual Knowledge Editing with Neuron-Masked Low-Rank Adaptation

Jiakuan Xie, Pengfei Cao, Yuheng Chen, Yubo Chen, Kang Liu, Jun Zhao

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

Grammaticality Representation in ChatGPT as Compared to Linguists and Laypeople

Zhuang Qiu, Xufeng Duan, Zhenguang G. Cai

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

Comments 23 pages

Robust Latent Representation Tuning for Image-text Classification

Hao Sun, Yu Song

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

InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation

Jacob Si, Wendy Yusi Cheng, Michael Cooper, Rahul G. Krishnan

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

Comments ICML 2024 Spotlight

Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers

Haowen Pan, Yixin Cao, Xiaozhi Wang, Xun Yang, Meng Wang

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

Coherent Zero-Shot Visual Instruction Generation

Quynh Phung, Songwei Ge, Jia-Bin Huang

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

Comments https://instruct-vis-zero.github.io/

Towards Detecting LLMs Hallucination via Markov Chain-based Multi-agent Debate Framework

Xiaoxi Sun, Jinpeng Li, Yan Zhong, Dongyan Zhao, Rui Yan

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

Comments 18 pages, 3 figures

Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape

Juno Kim, Taiji Suzuki

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

Comments ICML 2024 Oral

MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors

Renzhi Wang, Piji Li

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

MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection

Michael Regan, Shira Wein, George Baker, Emilio Monti

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

The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks

Lucius Bushnaq, Stefan Heimersheim, Nicholas Goldowsky-Dill, Dan Braun, Jake Mendel, Kaarel Hänni, Avery Griffin, Jörn Stöhler, Magdalena Wache, Marius Hobbhahn

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

A Transformer with Stack Attention

Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell

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

Comments NAACL 2024 Findings

Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models

Zhixuan Chu, Lei Zhang, Yichen Sun, Siqiao Xue, Zhibo Wang, Zhan Qin, Kui Ren

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

Comments arXiv admin note: text overlap with arXiv:2306.08302, arXiv:2403.05131 by other authors

What does the Knowledge Neuron Thesis Have to do with Knowledge?

Jingcheng Niu, Andrew Liu, Zining Zhu, Gerald Penn

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

Comments ICLR 2024 (Spotlight)

Can a Hallucinating Model help in Reducing Human "Hallucination"?

Sowmya S Sundaram, Balaji Alwar

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

Comments Under review

A Framework for Leveraging Human Computation Gaming to Enhance Knowledge Graphs for Accuracy Critical Generative AI Applications

Steph Buongiorno, Corey Clark

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

Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM

Michelle S. Lam, Janice Teoh, James Landay, Jeffrey Heer, Michael S. Bernstein

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

Comments To appear at CHI 2024

Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities

Wei Ma, Shangqing Liu, Mengjie Zhao, Xiaofei Xie, Wenhan Wang, Qiang Hu, Jie Zhang, Yang Liu

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

Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations

David Nadeau, Mike Kroutikov, Karen McNeil, Simon Baribeau

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

Comments 14 pages, 8 figures, 18 tables

AceMap: Knowledge Discovery through Academic Graph

Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou

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

Comments Technical Report for AceMap (https://www.acemap.info)

Calibration-Aware Bayesian Learning

Jiayi Huang, Sangwoo Park, Osvaldo Simeone

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

Comments submitted for conference publication

$λ$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space

Maitreya Patel, Sangmin Jung, Chitta Baral, Yezhou Yang

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

Comments Project page: https://eclipse-t2i.github.io/Lambda-ECLIPSE/

Automatic Authorities: Power and AI

Seth Lazar

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

Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs

Ye Liu, Semih Yavuz, Rui Meng, Meghana Moorthy, Shafiq Joty, Caiming Xiong, Yingbo Zhou

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

Towards a Fully Interpretable and More Scalable RSA Model for Metaphor Understanding

Gaia Carenini, Luca Bischetti, Walter Schaeken, Valentina Bambini

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

Crafting In-context Examples according to LMs' Parametric Knowledge

Yoonsang Lee, Pranav Atreya, Xi Ye, Eunsol Choi

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