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In-Context Learning
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Enhancing Cross-task Transfer of Large Language Models via Activation Steering
Assay2Mol: large language model-based drug design using BioAssay context
Journalism-Guided Agentic In-Context Learning for News Stance Detection
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
Meta-Learning Transformers to Improve In-Context Generalization
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning
Early Stopping Tabular In-Context Learning
A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs
How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models
Automatic Demonstration Selection for LLM-based Tabular Data Classification
Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios
From Memories to Maps: Mechanisms of In-Context Reinforcement Learning in Transformers
Universal pre-training by iterated random computation
AgenticControl: An Automated Control Design Framework Using Large Language Models
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
In-Context Learning Strategies Emerge Rationally
In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory
Conquering the Retina: Bringing Visual in-Context Learning to OCT
When and How Unlabeled Data Provably Improve In-Context Learning
Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
Leveraging In-Context Learning for Language Model Agents
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation
Evaluating Cell Type Inference in Vision Language Models Under Varying Visual Context
Surprise Calibration for Better In-Context Learning
Large Language Model-Powered Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers: Enhancing Empathy and Therapeutic Alliance Using In-Context Learning
PRO-V: An Efficient Program Generation Multi-Agent System for Automatic RTL Verification
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning
ConTextTab: A Semantics-Aware Tabular In-Context Learner
Foundation Models for Causal Inference via Prior-Data Fitted Networks
Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
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