SOTAVerified

In-Context Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1551–1600 of 2297 papers

TitleStatusHype
CrossTune: Black-Box Few-Shot Classification with Label Enhancement—0
CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models—0
Cultural Alignment in Large Language Models Using Soft Prompt Tuning—0
Curriculum Demonstration Selection for In-Context Learning—0
Customizing Language Model Responses with Contrastive In-Context Learning—0
CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment—0
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase—0
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning—0
Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving—0
Data-Centric AI in the Age of Large Language Models—0
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models—0
DataMan: Data Manager for Pre-training Large Language Models—0
DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph—0
DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models—0
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games—0
Decision Feedback In-Context Symbol Detection over Block-Fading Channels—0
Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent—0
TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learning—0
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators—0
Defining and Evaluating Physical Safety for Large Language Models—0
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detection—0
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
Dementia Insights: A Context-Based MultiModal Approach—0
Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models—0
Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions—0
Demonstration Selection for In-Context Learning via Reinforcement Learning—0
DemoShapley: Valuation of Demonstrations for In-Context Learning—0
Density estimation with LLMs: a geometric investigation of in-context learning trajectories—0
Detecting Zero-Day Attacks in Digital Substations via In-Context Learning—0
Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection—0
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning—0
DFIN-SQL: Integrating Focused Schema with DIN-SQL for Superior Accuracy in Large-Scale Databases—0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs—0
Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation—0
Differential learning kinetics govern the transition from memorization to generalization during in-context learning—0
Privacy-Preserving In-Context Learning for Large Language Models—0
Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs—0
Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning—0
DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarios—0
Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice Conversion—0
Discourse-Aware In-Context Learning for Temporal Expression Normalization—0
Disentangling Latent Shifts of In-Context Learning Through Self-Training—0
Dissecting In-Context Learning of Translations in GPTs—0
Distilling Named Entity Recognition Models for Endangered Species from Large Language Models—0
Distilling Text Style Transfer With Self-Explanation From LLMs—0
Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning—0
Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach—0
DocCGen: Document-based Controlled Code Generation—0
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations—0
Show:102550
← PrevPage 32 of 46Next →

No leaderboard results yet.