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In-Context Learning

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Showing 901–950 of 2297 papers

TitleStatusHype
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts—0
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion—0
Hide and Seek: Fingerprinting Large Language Models with Evolutionary Learning—0
Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning—0
Spin glass model of in-context learning—0
OneLove beyond the field -- A few-shot pipeline for topic and sentiment analysis during the FIFA World Cup in Qatar—0
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process—0
Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages—0
LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language ModelsCode1
Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge GraphsCode0
ArchCode: Incorporating Software Requirements in Code Generation with Large Language ModelsCode1
NOLO: Navigate Only Look Once—0
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control—0
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation ModelsCode1
In-Context Example Selection via Similarity Search Improves Low-Resource Machine TranslationCode0
Adversarial Text Rewriting for Text-aware Recommender SystemsCode1
QUITO: Accelerating Long-Context Reasoning through Query-Guided Context CompressionCode1
Intermittent Semi-working Mask: A New Masking Paradigm for LLMs—0
Distributed In-Context Learning under Non-IID Among Clients—0
Chat2Layout: Interactive 3D Furniture Layout with a Multimodal LLM—0
Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective—0
SceneTeller: Language-to-3D Scene Generation—0
CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge—0
SSPA: Split-and-Synthesize Prompting with Gated Alignments for Multi-Label Image Recognition—0
AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs—0
Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and AlignmentCode0
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications—0
LawLLM: Law Large Language Model for the US Legal System—0
Many-Shot In-Context Learning for Molecular Inverse Design—0
Unveiling In-Context Learning: A Coordinate System to Understand Its Working MechanismCode1
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context LearningCode0
Grammar-based Game Description Generation using Large Language ModelsCode0
Stress-Testing Long-Context Language Models with Lifelong ICL and Task HaystackCode0
PrimeGuard: Safe and Helpful LLMs through Tuning-Free RoutingCode0
Evolutionary Prompt Design for LLM-Based Post-ASR Error CorrectionCode1
Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data—0
Can Large Language Models Automatically Jailbreak GPT-4V?—0
Multilingual Fine-Grained News Headline Hallucination Detection—0
In-Context Learning Improves Compositional Understanding of Vision-Language ModelsCode0
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and ScalabilityCode0
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning—0
Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned—0
MIBench: Evaluating Multimodal Large Language Models over Multiple Images—0
Prompted Aspect Key Point Analysis for Quantitative Review SummarizationCode0
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?Code7
An Application of Large Language Models to Coding Negotiation Transcripts—0
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking—0
Learning-From-Mistakes Prompting for Indigenous Language Translation—0
Can Open-Source LLMs Compete with Commercial Models? Exploring the Few-Shot Performance of Current GPT Models in Biomedical TasksCode0
How Reliable are LLMs as Knowledge Bases? Re-thinking Facutality and Consistency—0
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