Papers
Assessing Phrase Break of ESL Speech with Pre-trained Language Models and Large Language Models
Zhiyi Wang, Shaoguang Mao, Wenshan Wu et al.
Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning
Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti et al.
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks
Sherzod Hakimov, David Schlangen
Generating Data for Symbolic Language with Large Language Models
Jiacheng Ye, Chengzu Li, Lingpeng Kong 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.
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
I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors
Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn 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.
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
Xinyi Wang, Wanrong Zhu, Michael Saxon et al.
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
Myles Foley, Ambrish Rawat, Taesung Lee 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.
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Zirui Zhao, Wee Sun Lee, David Hsu
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Lin Guan, Karthik Valmeekam, Sarath Sreedharan et al.
Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan
Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models
Raghav Jain, Daivik Sojitra, Arkadeep Acharya et al.
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models
Geewook Kim, Hodong Lee, Daehee Kim et al.
Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification
Chia-Yu Hung, Zhiqiang Hu, Yujia Hu et al.
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
Junyi Li, Xiaoxue Cheng, Xin Zhao et al.
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization
Ze-Feng Gao, Kun Zhou, Peiyu Liu et al.
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking
Shengyao Zhuang, Bing Liu, Bevan Koopman et al.
FedID: Federated Interactive Distillation for Large-Scale Pretraining Language Models
Xinge Ma, Jiangming Liu, Jin Wang et al.