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TitleStatusHype
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach—0
Davinci the Dualist: the mind-body divide in large language models and in human learners—0
Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer—0
LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM—0
Privacy-Preserving Prompt Tuning for Large Language Model Services—0
Large Language Model Programs—0
A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture—0
DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated TextCode0
Accessible Instruction-Following Agent—0
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning—0
Do Large Language Models Show Decision Heuristics Similar to Humans? A Case Study Using GPT-3.5—0
Refining the Responses of LLMs by ThemselvesCode0
Simulating H.P. Lovecraft horror literature with the ChatGPT large language model—0
Surveying Generative AI's Economic Expectations—0
Improving Code Example Recommendations on Informal Documentation Using BERT and Query-Aware LSH: A Comparative StudyCode0
Personalized Abstractive Summarization by Tri-agent Generation PipelineCode0
WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models—0
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to GraphsCode0
Zero-Shot Listwise Document Reranking with a Large Language Model—0
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?Code0
Self-Evaluation Guided Beam Search for Reasoning—0
Synthetic Cross-language Information Retrieval Training Data—0
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations—0
SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in SwedishCode0
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement—0
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