Papers
2,781 papers found
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs
Patrick Haller, Ansar Aynetdinov, Alan Akbik
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs
Bowen Tan, Yun Zhu, Lijuan Liu et al.
Exploring Inherent Biases in LLMs within Korean Social Context: A Comparative Analysis of ChatGPT and GPT-4
Seungyoon Lee, Dongjun Kim, Dahyun Jung et al.
Distilling Text Style Transfer With Self-Explanation From LLMs
Chiyu Zhang, Honglong Cai, Yuezhang Li et al.
Human-AI Interaction in the Age of LLMs
Diyi Yang, Sherry Tongshuang Wu, Marti A. Hearst
Efficiently Distilling LLMs for Edge Applications
Achintya Kundu, Yu Chin Fabian Lim, Aaron Chew et al.
Leveraging LLMs for Dialogue Quality Measurement
Jinghan Jia, Abi Komma, Timothy Leffel et al.
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text
Wenting Zhao, Ye Liu, Tong Niu et al.
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Yinger Zhang, Hui Cai, Xierui Song et al.
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations
Weihao Zeng, Dayuan Fu, Keqing He et al.
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs
Victor Carbune, Hassan Mansoor, Fangyu Liu et al.
What Makes Math Word Problems Challenging for LLMs?
Kv Aditya Srivatsa, Ekaterina Kochmar
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling
Bingsheng Yao, Guiming Chen, Ruishi Zou et al.
Rethinking Machine Ethics – Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?
Jingyan Zhou, Minda Hu, Junan Li et al.
Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge
Yifei Liu, Yiquan Wu, Ang Li et al.
Enhancing the General Agent Capabilities of Low-Paramter LLMs through Tuning and Multi-Branch Reasoning
Qinhao Zhou, Zihan Zhang, Xiang Xiang et al.
BotChat: Evaluating LLMs’ Capabilities of Having Multi-Turn Dialogues
Haodong Duan, Jueqi Wei, Chonghua Wang et al.
WebWISE: Unlocking Web Interface Control for LLMs via Sequential Exploration
Heyi Tao, Sethuraman T V, Michal Shlapentokh-Rothman et al.
Applying Linguistic Expertise to LLMs for Educational Material Development in Indigenous Languages
Justin Vasselli, Arturo Martínez Peguero, Junehwan Sung et al.
Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh’s Submission to AmericasNLP 2024 Translation Task
Vivek Iyer, Bhavitvya Malik, Wenhao Zhu et al.
How Good are Modern LLMs in Generating Relevant and High-Quality Questions at Different Bloom’s Skill Levels for Indian High School Social Science Curriculum?
Nicy Scaria, Suma Dharani Chenna, Deepak Subramani
Evaluating Vocabulary Usage in LLMs
Matthew Durward, Christopher Thomson
LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches
Imran Chamieh, Torsten Zesch, Klaus Giebermann
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions
Ana-Cristina Rogoz, Radu Tudor Ionescu
UPN-ICC at BEA 2024 Shared Task: Leveraging LLMs for Multiple-Choice Questions Difficulty Prediction
George Duenas, Sergio Jimenez, Geral Mateus Ferro