语言大模型 / LLM

Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates

Aida Kostikova, Benjamin Paassen, Dominik Beese, Ole Pütz, Gregor Wiedemann, Steffen Eger

机构 * Bielefeld University（比勒费尔德大学） ； TU Darmstadt（达姆施塔特工业大学） ； Hans-Bredow-Institut（汉斯·布雷多研究所） ； University of Mannheim（曼海姆大学） ； University of Technology Nuremberg（纽伦堡工业大学） 纠错

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

Comments EMNLP 2024 (Main Conference) Camera-Ready Version

A Review on Generative AI Models for Synthetic Medical Text, Time Series, and Longitudinal Data

Mohammad Loni, Fatemeh Poursalim, Mehdi Asadi, Arash Gharehbaghi

机构 * Mälardalen University（梅拉达伦大学） ； Servicehälsan Familjeläkare i Västerås AB（韦斯特罗斯家庭医生服务公司） ； Turku University of Applied Sciences（图尔库应用科技大学） ； Linköping University（林雪平大学） 纠错

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

Comments 27 pages, 3 figures

The why, what, and how of AI-based coding in scientific research

Tonghe Zhuang, Zhicheng Lin

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

Comments 23 pages, 7 figure, 3 boxes

LLMs and Memorization: On Quality and Specificity of Copyright Compliance

Felix B Mueller, Rebekka Görge, Anna K Bernzen, Janna C Pirk, Maximilian Poretschkin

机构 * Campus Institute Data Science, University of Goettingen（哥廷根大学校园数据科学研究所） 纠错

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

Comments 10 pages, 3 figures, AIES 2024 conference

Journal ref Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 7(1), 984-996, 2024

Evaluating the role of `Constitutions' for learning from AI feedback

Saskia Redgate, Andrew M. Bean, Adam Mahdi

机构 * University of Oxford（牛津大学） 纠错

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

Comments 4 pages, 2 figures. In NeurIPS 2024 Workshop on Language Gamification

Automated Clinical Data Extraction with Knowledge Conditioned LLMs

Diya Li, Asim Kadav, Aijing Gao, Rui Li, Richard Bourgon

机构 * Freenome（弗里诺姆公司） 纠错

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

Comments COLING25 Industry Track

QCG-Rerank: Chunks Graph Rerank with Query Expansion in Retrieval-Augmented LLMs for Tourism Domain

Qikai Wei, Mingzhi Yang, Chunlong Han, Jingfu Wei, Minghao Zhang, Feifei Shi, Huansheng Ning

机构 * School of Computer and Communication Engineering, University of Science and Technology Beijing（北京科技大学计算机与通信工程学院） ； Beijing Engineering Research Center for Cyberspace Data Analysis and Applications（北京网络空间数据分析与应用工程研究中心） ； Guangxi Tourism Development One-Click Tour Digital Cultural Tourism Industry Co.,Ltd（广西旅游发展一键游数字文化旅游产业有限公司） 纠错

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

Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement Learning

Dharmendra Prajapat, Durga Toshniwal

机构 * Indian Institute of Technology Roorkee（鲁尔基印度理工学院） 纠错

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

Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science Research

Marcello Carammia, Stefano Maria Iacus, Giuseppe Porro

机构 * University of Catania（卡塔尼亚大学） ； Harvard University（哈佛大学） ； University of Insubria（因苏布里亚大学） 纠错

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

"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis

Beatriz Feliciano, Rita Costa, Jean Alves, Javier Liébana, Diogo Duarte, Pedro Bizarro

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

Interleaving Text and Number Embeddings to Solve Mathemathics Problems

Marvin Alberts, Gianmarco Gabrieli, Irina Espejo Morales

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

README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP

Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu

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

Comments To appear in Findings of the Association for Computational Linguistics: EMNLP 2024. We sincerely appreciate the tremendous efforts of the entire README annotation team throughout the expert annotation process of the README dataset

Real-Time Multimodal Cognitive Assistant for Emergency Medical Services

Keshara Weerasinghe, Saahith Janapati, Xueren Ge, Sion Kim, Sneha Iyer, John A. Stankovic, Homa Alemzadeh

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

Comments This work has been submitted to the IEEE for possible publication

Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation

Pedro Henrique Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Mateus Roder, Douglas Rodrigues, João Paulo Papa

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

Comments This work has been submitted to the IEEE for possible publication

Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential

Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow

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

Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks

Konstantin Grotov, Artem Borzilov, Maksim Krivobok, Timofey Bryksin, Yaroslav Zharov

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

Comments Accepted to EMNLP 2024 System Demonstrations

Answering Questions in Stages: Prompt Chaining for Contract QA

Adam Roegiest, Radha Chitta

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

Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval

Hai-Long Nguyen, Tan-Minh Nguyen, Duc-Minh Nguyen, Thi-Hai-Yen Vuong, Ha-Thanh Nguyen, Xuan-Hieu Phan

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

Comments Presented at NeLaMKRR@KR, 2024 (arXiv:2410.05339)

Enhancing Agent Learning through World Dynamics Modeling

Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu

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

Generative AI and Its Impact on Personalized Intelligent Tutoring Systems

Subhankar Maity, Aniket Deroy

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

Comments Scientific Report (Under Review)

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

Guangzhi Xiong, Qiao Jin, Xiao Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang

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

Comments Accepted to PSB 2025

KRAG Framework for Enhancing LLMs in the Legal Domain

Nguyen Ha Thanh, Ken Satoh

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

Comments Presented at NeLaMKRR@KR, 2024 (arXiv:2410.05339)

Using LLMs to Discover Legal Factors

Morgan Gray, Jaromir Savelka, Wesley Oliver, Kevin Ashley

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

Copiloting Diagnosis of Autism in Real Clinical Scenarios via LLMs

Yi Jiang, Qingyang Shen, Shuzhong Lai, Shunyu Qi, Qian Zheng, Lin Yao, Yueming Wang, Gang Pan

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

Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations

Peixin Qin, Chen Huang, Yang Deng, Wenqiang Lei, Tat-Seng Chua

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

Comments Findings of EMNLP 2024. Our code is available at https://github.com/mumen798/PC-CRS

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs

Minsang Kim, Cheoneum Park, Seungjun Baek

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

Comments The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings

Digital Twin Ecosystem for Oncology Clinical Operations

Himanshu Pandey, Akhil Amod, Shivang, Kshitij Jaggi, Ruchi Garg, Abheet Jain, Vinayak Tantia

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

Comments Pre Print

Retrieval Augmented Generation-Based Incident Resolution Recommendation System for IT Support

Paulina Toro Isaza, Michael Nidd, Noah Zheutlin, Jae-wook Ahn, Chidansh Amitkumar Bhatt, Yu Deng, Ruchi Mahindru, Martin Franz, Hans Florian, Salim Roukos

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

Comments 7 pages, 3 figures, 6 tables

AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation

Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao

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

Comments Accepted by EMNLP 2024 Findings

'Since Lawyers are Males..': Examining Implicit Gender Bias in Hindi Language Generation by LLMs

Ishika Joshi, Ishita Gupta, Adrita Dey, Tapan Parikh

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