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Large Language Model

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Showing 5901–5950 of 6097 papers

TitleStatusHype
Pair Programming with Large Language Models for Sampling and Estimation of Copulas—0
Language Models can Solve Computer TasksCode2
WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal ResearchCode2
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents—0
BloombergGPT: A Large Language Model for Finance—0
Advances in apparent conceptual physics reasoning in GPT-4—0
Improving Large Language Models for Clinical Named Entity Recognition via Prompt EngineeringCode1
Hallucinations in Large Multilingual Translation ModelsCode1
Linguistically Informed ChatGPT Prompts to Enhance Japanese-Chinese Machine Translation: A Case Study on Attributive Clauses—0
LMCanvas: Object-Oriented Interaction to Personalize Large Language Model-Powered Writing Environments—0
Unified Text Structuralization with Instruction-tuned Language Models—0
SmartBook: AI-Assisted Situation Report Generation for Intelligence AnalystsCode1
ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain KnowledgeCode4
Unleashing GPT on the Metaverse: Savior or Destroyer?—0
ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model—0
SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization—0
Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study—0
Can we trust the evaluation on ChatGPT?—0
ChatGPT for Programming Numerical MethodsCode1
Large Language Models and Simple, Stupid Bugs—0
Language Model Behavior: A Comprehensive SurveyCode0
Large Language Model Instruction Following: A Survey of Progresses and ChallengesCode2
Can AI-Generated Text be Reliably Detected?Code1
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential—0
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Code1
Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM FamilyCode1
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs—0
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language DescriptionsCode1
Contextualized Medication Information Extraction Using Transformer-based Deep Learning Architectures—0
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUCode5
ODIN: On-demand Data Formulation to Mitigate Dataset Lock-in—0
Consistency Analysis of ChatGPT—0
Susceptibility to Influence of Large Language Models—0
Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors—0
Planning with Large Language Models for Code Generation—0
Cost-Effective Hyperparameter Optimization for Large Language Model Generation InferenceCode4
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?—0
FoundationTTS: Text-to-Speech for ASR Customization with Generative Language Model—0
OpenICL: An Open-Source Framework for In-context LearningCode2
PaLM-E: An Embodied Multimodal Language ModelCode2
Could a Large Language Model be Conscious?—0
Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question AnsweringCode2
AI and the FCI: Can ChatGPT Project an Understanding of Introductory Physics?—0
Almanac: Retrieval-Augmented Language Models for Clinical Medicine—0
Language Is Not All You Need: Aligning Perception with Language Models—0
Reward Design with Language ModelsCode2
Leveraging Large Language Model and Story-Based Gamification in Intelligent Tutoring System to Scaffold Introductory Programming Courses: A Design-Based Research Study—0
Factual Consistency Oriented Speech Recognition—0
An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP)Code0
What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structureCode0
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