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Large Language Model

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Showing 5901–5950 of 6097 papers

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
Large Language Models are Strong Zero-Shot Retriever—0
UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languagesCode0
Framing the News:From Human Perception to Large Language Model Inferences—0
Learning Human-Human Interactions in Images from Weak Textual Supervision—0
q2d: Turning Questions into Dialogs to Teach Models How to Search—0
Compressing Sentence Representation with maximum Coding Rate Reduction—0
Blockchain Large Language Models—0
Domain Mastery Benchmark: An Ever-Updating Benchmark for Evaluating Holistic Domain Knowledge of Large Language Model--A Preliminary Release—0
A Lightweight Constrained Generation Alternative for Query-focused SummarizationCode0
Spatial-Language Attention Policies for Efficient Robot Learning—0
Robot-Enabled Construction Assembly with Automated Sequence Planning based on ChatGPT: RoboGPT—0
SkinGPT-4: An Interactive Dermatology Diagnostic System with Visual Large Language Model—0
Supporting Human-AI Collaboration in Auditing LLMs with LLMs—0
Creating Large Language Model Resistant Exams: Guidelines and Strategies—0
Large Language Models Based Automatic Synthesis of Software Specifications—0
An Evaluation on Large Language Model Outputs: Discourse and Memorization—0
A Comparative Study between Full-Parameter and LoRA-based Fine-Tuning on Chinese Instruction Data for Instruction Following Large Language Model—0
PBNR: Prompt-based News Recommender System—0
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision—0
Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies—0
The Self-Perception and Political Biases of ChatGPT—0
The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China—0
A Reference Architecture for Designing Foundation Model based Systems—0
Learning Personalized Decision Support Policies—0
ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning—0
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