Papers
QLoRA: Efficient Finetuning of Quantized LLMs
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman et al.
VPGTrans: Transfer Visual Prompt Generator across LLMs
Ao Zhang, Hao Fei, Yuan Yao et al.
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Laura Ruis, Akbir Khan, Stella Biderman et al.
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
Yujie Lu, Xianjun Yang, Xiujun Li et al.
Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents
Zihao Wang, Shaofei Cai, Guanzhou Chen et al.
Evaluating the Moral Beliefs Encoded in LLMs
Nino Scherrer, Claudia Shi, Amir Feder et al.
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
Lijun Yu, Yong Cheng, Zhiruo Wang et al.
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté et al.
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
Lifan Yuan, Yangyi Chen, Ganqu Cui et al.
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Harshit Joshi, José Cambronero Sanchez, Sumit Gulwani et al.
Characterised LLMs Affect its Evaluation of Summary and Translation
Yu-An Lu, Yu-Ting Lin
Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task
Neema Kotonya, Saran Krishnasamy, Joel Tetreault et al.
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment
Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur et al.
The ROOTS Search Tool: Data Transparency for LLMs
Aleksandra Piktus, Christopher Akiki, Paulo Villegas et al.
Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world
Sunayana Sitaram, Monojit Choudhury, Barun Patra et al.
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Gibbeum Lee, Volker Hartmann, Jongho Park et al.
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation
Xingdi Yuan, Tong Wang, Yen-Hsiang Wang et al.
Evaluating Reading Comprehension Exercises Generated by LLMs: A Showcase of ChatGPT in Education Applications
Changrong Xiao, Sean Xin Xu, Kunpeng Zhang et al.
RETUYT-InCo at BEA 2023 Shared Task: Tuning Open-Source LLMs for Generating Teacher Responses
Alexis Baladón, Ignacio Sastre, Luis Chiruzzo et al.
shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation
Sanjeev Kumar Karn, Rikhiya Ghosh, Kusuma P et al.
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?
Junda Wang, Zonghai Yao, Avijit Mitra et al.
Extending an Event-type Ontology: Adding Verbs and Classes Using Fine-tuned LLMs Suggestions
Jana Straková, Eva Fučíková, Jan Hajič et al.
UMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African Languages
José Antonio García-Díaz, Camilo Caparros-laiz, Ángela Almela 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.
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings
Andrea W Wen-Yi, David Mimno