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In-Context Learning

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Showing 1051–1100 of 2297 papers

TitleStatusHype
Improving Input-label Mapping with Demonstration Replay for In-context Learning—0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
Improving In-context Learning via Bidirectional Alignment—0
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts—0
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration—0
DFIN-SQL: Integrating Focused Schema with DIN-SQL for Superior Accuracy in Large-Scale Databases—0
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning—0
Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning—0
Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary—0
Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection—0
Detecting Zero-Day Attacks in Digital Substations via In-Context Learning—0
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing—0
Improving Automatic VQA Evaluation Using Large Language Models—0
Implicit In-Context Learning: Evidence from Artificial Language Experiments—0
Density estimation with LLMs: a geometric investigation of in-context learning trajectories—0
Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation—0
DemoShapley: Valuation of Demonstrations for In-Context Learning—0
Identifying Semantic Induction Heads to Understand In-Context Learning—0
Identifying and Mitigating the Security Risks of Generative AI—0
Demonstration Selection for In-Context Learning via Reinforcement Learning—0
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence—0
Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs—0
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models—0
Spin glass model of in-context learning—0
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection—0
Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions—0
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks—0
ICLR: In-Context Learning of Representations—0
ICL Markup: Structuring In-Context Learning using Soft-Token Tags—0
ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization—0
Demo-Craft: Using In-Context Learning to Improve Code Generation in Large Language Models—0
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression—0
ICLERB: In-Context Learning Embedding and Reranker Benchmark—0
Dementia Insights: A Context-Based MultiModal Approach—0
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought—0
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detection—0
An Information-Theoretic Analysis of In-Context Learning—0
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models—0
Hybrid Agents for Image Restoration—0
Human-Timescale Adaptation in an Open-Ended Task Space—0
Defining and Evaluating Physical Safety for Large Language Models—0
Theoretical Understanding of In-Context Learning in Shallow Transformers with Unstructured Data—0
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators—0
Human-Instruction-Free LLM Self-Alignment with Limited Samples—0
Benchmarks Underestimate the Readiness of Multi-lingual Dialogue Agents—0
An In-Context Schema Understanding Method for Knowledge Base Question Answering—0
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering—0
How Well Can Transformers Emulate In-context Newton's Method?—0
TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learning—0
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