语言大模型 / LLM

Attribution analysis of legal language as used by LLM

Richard K. Belew

专题命中 领域大模型 ：LLM(title,abstract)；分类 cs.CL、cs.LG

Comments 9 pages, 17 figures

Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models

Jakob Krogh Petersen, Valdemar Licht, Mads Nielsen, Asbjørn Munk

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.AI、cs.LG

Comments 10 pages, 2 figures. To be published in ISBI 2025

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories

Raj Sanjay Shah, Sashank Varma

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature

Aarush Sinha, Viraj Virk, Dipshikha Chakraborty, P. S. Sreeja

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation

Shuzhou Sun, Li Liu, Yongxiang Liu, Zhen Liu, Shuanghui Zhang, Janne Heikkilä, Xiang Li

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.AI、cs.LG

Comments 60 pages, 5 figures

From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis

Guy Lutsker, Gal Sapir, Smadar Shilo, Jordi Merino, Anastasia Godneva, Jerry R Greenfield, Dorit Samocha-Bonet, Raja Dhir, Francisco Gude, Shie Mannor, Eli Meirom, Gal Chechik, Hagai Rossman, Eran Segal

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.AI、cs.LG

Adversarial Negotiation Dynamics in Generative Language Models

Arinbjörn Kolbeinsson, Benedikt Kolbeinsson

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments Paper at NeurIPS 2024 Workshop on Red Teaming GenAI

The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education

Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, Wei Ai

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments NAACL 2024

Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation

Changsun Lee, Sangjoon Park, Cheong-Il Shin, Woo Hee Choi, Hyun Jeong Park, Jeong Eun Lee, Jong Chul Ye

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

CLINICSUM: Utilizing Language Models for Generating Clinical Summaries from Patient-Doctor Conversations

Subash Neupane, Himanshu Tripathi, Shaswata Mitra, Sean Bozorgzad, Sudip Mittal, Shahram Rahimi, Amin Amirlatifi

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments accepted at the the 2024 IEEE International Conference on Big Data workshop Workshop on Big Data and AI for Healthcare

Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions

Kai Sun, Siyan Xue, Fuchun Sun, Haoran Sun, Yu Luo, Ling Wang, Siyuan Wang, Na Guo, Lei Liu, Tian Zhao, Xinzhou Wang, Lei Yang, Shuo Jin, Jun Yan, Jiahong Dong

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.AI、cs.LG

Multimodal Whole Slide Foundation Model for Pathology

Tong Ding, Sophia J. Wagner, Andrew H. Song, Richard J. Chen, Ming Y. Lu, Andrew Zhang, Anurag J. Vaidya, Guillaume Jaume, Muhammad Shaban, Ahrong Kim, Drew F. K. Williamson, Bowen Chen, Cristina Almagro-Perez, Paul Doucet, Sharifa Sahai, Chengkuan Chen, Daisuke Komura, Akihiro Kawabe, Shumpei Ishikawa, Georg Gerber, Tingying Peng, Long Phi Le, Faisal Mahmood

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.AI、cs.LG

Comments The code is accessible at https://github.com/mahmoodlab/TITAN

Multimodal Foundation Models Exploit Text to Make Medical Image Predictions

Thomas Buckley, James A. Diao, Pranav Rajpurkar, Adam Rodman, Arjun K. Manrai

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.CL、cs.AI

GFT: Graph Foundation Model with Transferable Tree Vocabulary

Zehong Wang, Zheyuan Zhang, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted by NeurIPS 2024

Pre-trained Molecular Language Models with Random Functional Group Masking

Tianhao Peng, Yuchen Li, Xuhong Li, Jiang Bian, Zeke Xie, Ning Sui, Shahid Mumtaz, Yanwu Xu, Linghe Kong, Haoyi Xiong

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.AI、cs.LG

Comments Under review

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.LG

Comments NeurIPS 2024 Datasets and Benchmarks Track

Belief in the Machine: Investigating Epistemological Blind Spots of Language Models

Mirac Suzgun, Tayfun Gur, Federico Bianchi, Daniel E. Ho, Thomas Icard, Dan Jurafsky, James Zou

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments https://github.com/suzgunmirac/belief-in-the-machine

Scalable Multi-Domain Adaptation of Language Models using Modular Experts

Peter Schafhalter, Shun Liao, Yanqi Zhou, Chih-Kuan Yeh, Arun Kandoor, James Laudon

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments 14 pages, 5 figures, 3 tables

MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science

Junho Kim, Yeachan Kim, Jun-Hyung Park, Yerim Oh, Suho Kim, SangKeun Lee

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted at EMNLP 2024 (Findings)

Towards the generation of hierarchical attack models from cybersecurity vulnerabilities using language models

Kacper Sowka, Vasile Palade, Xiaorui Jiang, Hesam Jadidbonab

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.AI、cs.LG

SyllableLM: Learning Coarse Semantic Units for Speech Language Models

Alan Baade, Puyuan Peng, David Harwath

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments 10 pages, 2 figures

Empowering Domain-Specific Language Models with Graph-Oriented Databases: A Paradigm Shift in Performance and Model Maintenance

Ricardo Di Pasquale, Soledad Represa

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.AI、cs.LG

Language agents achieve superhuman synthesis of scientific knowledge

Michael D. Skarlinski, Sam Cox, Jon M. Laurent, James D. Braza, Michaela Hinks, Michael J. Hammerling, Manvitha Ponnapati, Samuel G. Rodriques, Andrew D. White

专题命中 领域大模型 ：language agent(title)；language model(abstract)；分类 cs.CL、cs.AI

Affective Computing Has Changed: The Foundation Model Disruption

Björn Schuller, Adria Mallol-Ragolta, Alejandro Peña Almansa, Iosif Tsangko, Mostafa M. Amin, Anastasia Semertzidou, Lukas Christ, Shahin Amiriparian

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.CL、cs.AI

OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters

Zexin Chen, Chengxi Li, Xiangyu Xie, Parijat Dube

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments 13 pages, 4 figures, 4 tables

Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature

Uri Katz, Mosh Levy, Yoav Goldberg

专题命中 领域大模型 ：LLM(title,abstract)；分类 cs.CL、cs.AI

Improving Language Models for Emotion Analysis: Insights from Cognitive Science

Constant Bonard, Gustave Cortal

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.CL、cs.AI

Journal ref Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, Association for Computational Linguistics, Aug 2024, Bangkok, Thailand. pp.264-277

BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports

Yuxuan Chen, Haoyan Yang, Hengkai Pan, Fardeen Siddiqui, Antonio Verdone, Qingyang Zhang, Sumit Chopra, Chen Zhao, Yiqiu Shen

专题命中 领域大模型 ：LLM(title,abstract)；分类 cs.CL、cs.AI

Comments This paper has been accepted as the oral paper for the HCHM workshop, ACM Multimedia 2024

Towards Foundation Models for the Industrial Forecasting of Chemical Kinetics

Imran Nasim, Joaõ Lucas de Sousa Almeida

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted into the IEEE CAI 2024 Workshop on Scientific Machine Learning and Its Industrial Applications (SMLIA2024)

Persona Inconstancy in Multi-Agent LLM Collaboration: Conformity, Confabulation, and Impersonation

Razan Baltaji, Babak Hemmatian, Lav R. Varshney

专题命中 领域大模型 ：LLM(title,abstract)；分类 cs.CL、cs.AI

Comments 16 pages, 8 figures, 3 tables

Journal ref The 2nd Workshop on Cross-Cultural Considerations in NLP (2024)