语言大模型 / LLM

Why do LLaVA Vision-Language Models Reply to Images in English?

Musashi Hinck, Carolin Holtermann, Matthew Lyle Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shaoyen Tseng, Vasudev Lal

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

Comments Pre-print

Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images

Yuanyuan Peng, Aidi Lin, Meng Wang, Tian Lin, Ke Zou, Yinglin Cheng, Tingkun Shi, Xulong Liao, Lixia Feng, Zhen Liang, Xinjian Chen, Huazhu Fu, Haoyu Chen

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

Comments All codes are available at https://github.com/yuanyuanpeng0129/FMUE

Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?

Gregor Geigle, Radu Timofte, Goran Glavaš

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

Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models

Yikai Zhang, Qianyu He, Xintao Wang, Siyu Yuan, Jiaqing Liang, Yanghua Xiao

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

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models

Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho

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

Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment

Chong Li, Shaonan Wang, Jiajun Zhang, Chengqing Zong

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

Comments NAACL 2024; Our code is available at https://github.com/chongli17/CrossLingualAlignment

TAXI: Evaluating Categorical Knowledge Editing for Language Models

Derek Powell, Walter Gerych, Thomas Hartvigsen

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

Comments Accepted to ACL 2024 (Findings)

Probing the Category of Verbal Aspect in Transformer Language Models

Anisia Katinskaia, Roman Yangarber

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

Depth Prompting for Sensor-Agnostic Depth Estimation

Jin-Hwi Park, Chanhwi Jeong, Junoh Lee, Hae-Gon Jeon

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

Comments Accepted at CVPR 2024

Quantity Matters: Towards Assessing and Mitigating Number Hallucination in Large Vision-Language Models

Huixuan Zhang, Junzhe Zhang, Xiaojun Wan

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

Comments 10 pages

Recourse for reclamation: Chatting with generative language models

Jennifer Chien, Kevin R. McKee, Jackie Kay, William Isaac

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

Comments Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA 2024)

On the Computation of Meaning, Language Models and Incomprehensible Horrors

Michael Timothy Bennett

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

Comments Published (and accepted for full oral presentation) at the 16th Conference on Artificial General Intelligence, Stockholm, 2023

Journal ref Proceedings of the 16th International Conference on Artificial General Intelligence. 2023. Lecture Notes in Computer Science, vol 13921. Springer. pp. 32-41

LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models

Igor Tufanov, Karen Hambardzumyan, Javier Ferrando, Elena Voita

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

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples

Phillip Howard, Avinash Madasu, Tiep Le, Gustavo Lujan Moreno, Anahita Bhiwandiwalla, Vasudev Lal

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

Comments Accepted to CVPR 2024. arXiv admin note: text overlap with arXiv:2310.02988

Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models using Minimal Pairs

Linyang He, Peili Chen, Ercong Nie, Yuanning Li, Jonathan R. Brennan

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

Comments Accepted by LREC-COLING 2024

Pre-Trained Language Models Represent Some Geographic Populations Better Than Others

Jonathan Dunn, Benjamin Adams, Harish Tayyar Madabushi

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

Identifying and interpreting non-aligned human conceptual representations using language modeling

Wanqian Bao, Uri Hasson

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

Comments To appear at the ICLR 2024 Workshop on Representational Alignment (Re-Align)

Bayesian Preference Elicitation with Language Models

Kunal Handa, Yarin Gal, Ellie Pavlick, Noah Goodman, Jacob Andreas, Alex Tamkin, Belinda Z. Li

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

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce

Nurendra Choudhary, Edward W Huang, Karthik Subbian, Chandan K. Reddy

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

Comments Accepted to The Web Conference 2024 (Industry)

Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic?

Vasudevan Nedumpozhimana, John D. Kelleher

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

Chinese Spelling Correction as Rephrasing Language Model

Linfeng Liu, Hongqiu Wu, Hai Zhao

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

Comments Accepted by AAAI'2024

Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models

Yunpeng Huang, Yaonan Gu, Jingwei Xu, Zhihong Zhu, Zhaorun Chen, Xiaoxing Ma

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

Comments 18 pages, 15 figures

SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency

Jiaxin Zhang, Zhuohang Li, Kamalika Das, Bradley A. Malin, Sricharan Kumar

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

Comments EMNLP 2023

A Language Model for Particle Tracking

Andris Huang, Yash Melkani, Paolo Calafiura, Alina Lazar, Daniel Thomas Murnane, Minh-Tuan Pham, Xiangyang Ju

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

Comments 7 pages, 3 figures, A Proceeding of the Connecting the Dots Workshop (CTD 2023)

Linearity of Relation Decoding in Transformer Language Models

Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau

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

ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning

Wenwu Zeng, Dafeng Lv, Wenjuan Liu, Shaoliang Peng

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

ConcEPT: Concept-Enhanced Pre-Training for Language Models

Xintao Wang, Zhouhong Gu, Jiaqing Liang, Dakuan Lu, Yanghua Xiao, Wei Wang

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

Comments 12pages. Work completed in 2023.01

Evaluating the Ripple Effects of Knowledge Editing in Language Models

Roi Cohen, Eden Biran, Ori Yoran, Amir Globerson, Mor Geva

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

Comments Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2024. Author's final version

Probing Pretrained Language Models with Hierarchy Properties

Jesús Lovón-Melgarejo, Jose G. Moreno, Romaric Besançon, Olivier Ferret, Lynda Tamine

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

Comments Accepted at ECIR 2024

Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data

Shiladitya Dutta, Hongbo Wei, Lars van der Laan, Ahmed M. Alaa

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