|
Workshop
|
|
FinGPT: Democratizing Internet-scale Data for Financial Large Language Models
Xiao-Yang Liu · Guoxuan Wang · Hongyang Yang · Daochen Zha
|
|
|
Workshop
|
|
Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models
Rob Grzywinski · Joshua DArcy · Robert Naidoff · Ashish Shukla · Alex Browne · Ren Gibbons · Brinnae Bent
|
|
|
Workshop
|
|
Pool-Search-Demonstrate: Improving Data-wrangling LLMs via better in-context examples
Joon Suk Huh · Changho Shin · Elina Choi
|
|
|
Workshop
|
|
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics
Haoqin Tu · Bingchen Zhao · Chen Wei · Cihang Xie
|
|
|
Workshop
|
Fri 7:23
|
Pool-Search-Demonstrate: Improving Data-wrangling LLMs via better in-context examples
Joon Suk Huh · Changho Shin · Elina Choi
|
|
|
Workshop
|
|
Towards Large Language Models as Copilots for Theorem Proving in Lean
Peiyang Song · Kaiyu Yang · Animashree Anandkumar
|
|
|
Workshop
|
|
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
Sam Toyer · Olivia Watkins · Ethan Mendes · Justin Svegliato · Luke Bailey · Tiffany Wang · Isaac Ong · Karim Elmaaroufi · Pieter Abbeel · Trevor Darrell · Alan Ritter · Stuart J Russell
|
|
|
Workshop
|
Fri 12:08
|
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings
Shuaichen Chang · Eric Fosler-Lussier
|
|
|
Workshop
|
|
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings
Shuaichen Chang · Eric Fosler-Lussier
|
|
|
Workshop
|
|
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Yang Liu · Yuanshun (Kevin) Yao · Jean-Francois Ton · Xiaoying Zhang · Ruocheng Guo · Hao Cheng · Yegor Klochkov · Muhammad Faaiz Taufiq · Hang Li
|
|
|
Affinity Workshop
|
|
Building Domain-Specific LLMs Faithful To The Islamic Worldview: Mirage or Technical Possibility?
Shabaz Patel · Mohamed Kane
|
|
|
Workshop
|
|
Platypus: Quick, Cheap, and Powerful Refinement of LLMs
Ariel Lee · Cole Hunter · Nataniel Ruiz
|
|
