Papers
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks
Sherzod Hakimov, David Schlangen
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Zirui Zhao, Wee Sun Lee, David Hsu
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
Junyi Li, Xiaoxue Cheng, Xin Zhao et al.
Generating Data for Symbolic Language with Large Language Models
Jiacheng Ye, Chengzu Li, Lingpeng Kong et al.
Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification
Chia-Yu Hung, Zhiqiang Hu, Yujia Hu et al.
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Bailin Wang, Zi Wang, Xuezhi Wang et al.
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
Haoxuan You, Rui Sun, Zhecan Wang et al.
Assessing Phrase Break of ESL Speech with Pre-trained Language Models and Large Language Models
Zhiyi Wang, Shaoguang Mao, Wenshan Wu et al.
YNU-HPCC at WASSA-2023 Shared Task 1: Large-scale Language Model with LoRA Fine-Tuning for Empathy Detection and Emotion Classification
Yukun Wang, Jin Wang, Xuejie Zhang
Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation
Long Phan, Tai Dang, Hieu Tran et al.
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Gen Luo, Yiyi Zhou, Tianhe Ren et al.
When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)
Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus et al.
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model
Jiabo Ye, Anwen Hu, Haiyang Xu et al.
FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models
Xinge Ma, Jiangming Liu, Jin Wang et al.
Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs
Xiao Shi, Zhengyuan Zhu, Zeyu Zhang et al.
GrowCLIP: Data-Aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-Training
Xinchi Deng, Han Shi, Runhui Huang et al.
UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining
Hyung Won Chung, Xavier Garcia, Adam Roberts et al.
Distilling Script Knowledge from Large Language Models for Constrained Language Planning
Siyu Yuan, Jiangjie Chen, Ziquan Fu et al.
Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding
Mutian He, Philip N. Garner
Stable and low-precision training for large-scale vision-language models
Mitchell Wortsman, Tim Dettmers, Luke Zettlemoyer et al.
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models
Iker García-Ferrero, Begoña Altuna, Javier Alvez et al.
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
Shicheng Tan, Weng Lam Tam, Yuanchun Wang et al.
Sharing Encoder Representations across Languages, Domains and Tasks in Large-Scale Spoken Language Understanding
Jonathan Hueser, Judith Gaspers, Thomas Gueudre et al.
Romanization-based Large-scale Adaptation of Multilingual Language Models
Sukannya Purkayastha, Sebastian Ruder, Jonas Pfeiffer et al.
Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning
Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti et al.