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In-Context Learning

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Showing 551–600 of 2297 papers

TitleStatusHype
Journalism-Guided Agentic In-Context Learning for News Stance Detection—0
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations—0
Meta-Learning Transformers to Improve In-Context Generalization—0
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks—0
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning—0
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection—0
Early Stopping Tabular In-Context Learning—0
Automatic Demonstration Selection for LLM-based Tabular Data Classification—0
A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs—0
How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?—0
Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios—0
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models—0
Universal pre-training by iterated random computationCode0
From Memories to Maps: Mechanisms of In-Context Reinforcement Learning in Transformers—0
AgenticControl: An Automated Control Design Framework Using Large Language Models—0
In-Context Learning Strategies Emerge Rationally—0
Conquering the Retina: Bringing Visual in-Context Learning to OCTCode0
When and How Unlabeled Data Provably Improve In-Context Learning—0
In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory—0
Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval—0
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot—0
Leveraging In-Context Learning for Language Model Agents—0
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation—0
Evaluating Cell Type Inference in Vision Language Models Under Varying Visual ContextCode0
Surprise Calibration for Better In-Context Learning—0
Large Language Model-Powered Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers: Enhancing Empathy and Therapeutic Alliance Using In-Context Learning—0
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AICode0
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods—0
Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning—0
Foundation Models for Causal Inference via Prior-Data Fitted Networks—0
Test-Time Adaptation for Generalizable Task Progress Estimation—0
Towards Multi-modal Graph Large Language Model—0
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning—0
Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search—0
Factors affecting the in-context learning abilities of LLMs for dialogue state tracking—0
Sample Efficient Demonstration Selection for In-Context LearningCode0
Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations—0
Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation—0
Language-Vision Planner and Executor for Text-to-Visual Reasoning—0
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality—0
Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models—0
Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques—0
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering—0
Prompting Wireless Networks: Reinforced In-Context Learning for Power Control—0
Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning—0
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction—0
Transformers Meet In-Context Learning: A Universal Approximation Theory—0
Counterfactual reasoning: an analysis of in-context emergenceCode0
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient MatchingCode0
Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?Code0
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