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In-Context Learning

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Showing 2051–2100 of 2297 papers

TitleStatusHype
LLM-Based Robust Product Classification in Commerce and Compliance—0
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search—0
LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks—0
LLM for Everyone: Representing the Underrepresented in Large Language Models—0
LLMIdxAdvis: Resource-Efficient Index Advisor Utilizing Large Language Model—0
llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models—0
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression—0
LLMs Are In-Context Bandit Reinforcement Learners—0
LLMs as Data Annotators: How Close Are We to Human Performance—0
LLMs for Domain Generation Algorithm Detection—0
LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma—0
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems—0
Locally Differentially Private In-Context Learning—0
LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning—0
Long-range gene expression prediction with token alignment of large language model—0
Look Before You Leap: Towards Decision-Aware and Generalizable Tool-Usage for Large Language Models—0
Lost in the Passage: Passage-level In-context Learning Does Not Necessarily Need a "Passage"—0
Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?—0
Low-resource classification of mobility functioning information in clinical sentences using large language models—0
Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions—0
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data—0
Make a Choice! Knowledge Base Question Answering with In-Context Learning—0
Intermediate Languages Matter: Formal Choice Drives Neurosymbolic LLM Reasoning—0
Making Text Embedders Few-Shot Learners—0
MaLA-500: Massive Language Adaptation of Large Language Models—0
MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation—0
Mamba State-Space Models Are Lyapunov-Stable Learners—0
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning—0
Manipulating the Label Space for In-Context Classification—0
Many-Shot In-Context Learning—0
Many-Shot In-Context Learning for Molecular Inverse Design—0
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification—0
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning—0
Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment—0
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs—0
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations—0
Matryoshka: Learning to Drive Black-Box LLMs with LLMs—0
MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation—0
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals—0
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing—0
Measuring and Reducing LLM Hallucination without Gold-Standard Answers—0
Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks—0
Mechanistic Fine-tuning for In-context Learning—0
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering—0
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications—0
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues—0
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis—0
Membership Inference Attacks Against In-Context Learning—0
Memorization in In-Context Learning—0
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization—0
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