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In-Context Learning

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Showing 751–800 of 2297 papers

TitleStatusHype
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning—0
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models—0
Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent—0
ZeroED: Hybrid Zero-shot Error Detection through Large Language Model Reasoning—0
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning—0
BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking—0
Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence—0
The Dual-Route Model of Induction—0
InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation—0
Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights—0
Repetitions are not all alike: distinct mechanisms sustain repetition in language models—0
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework—0
In-Context Learning for Zero-Shot Speed Estimation of BLDC motorsCode0
An extension of linear self-attention for in-context learning—0
Implicit In-Context Learning: Evidence from Artificial Language Experiments—0
Exploring In-Context Learning Capabilities of ChatGPT for Pathological Speech Detection—0
MiZero: The Shadowy Defender Against Text Style Infringements—0
Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use—0
Post-Incorporating Code Structural Knowledge into LLMs via In-Context Learning for Code Translation—0
Teaching LLMs Music Theory with In-Context Learning and Chain-of-Thought Prompting: Pedagogical Strategies for MachinesCode0
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval—0
Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models—0
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection—0
Rethinking Graph Structure Learning in the Era of LLMs—0
Monte Carlo Sampling for Analyzing In-Context Examples—0
Hacia la interpretabilidad de la detección anticipada de riesgos de depresión utilizando grandes modelos de lenguaje—0
Show and Segment: Universal Medical Image Segmentation via In-Context Learning—0
Optimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems—0
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking—0
Experience Replay Addresses Loss of Plasticity in Continual Learning—0
"Whose Side Are You On?" Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection—0
Satisfactory Medical Consultation based on Terminology-Enhanced Information Retrieval and Emotional In-Context Learning—0
When Debate Fails: Bias Reinforcement in Large Language Models—0
Cultural Alignment in Large Language Models Using Soft Prompt Tuning—0
Corrective In-Context Learning: Evaluating Self-Correction in Large Language ModelsCode0
Transformer-based Wireless Symbol Detection Over Fading Channels—0
A Recipe for Generating 3D Worlds From a Single Image—0
Understanding the Generalization of In-Context Learning in Transformers: An Empirical StudyCode0
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction—0
In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax AttentionCode0
A Multi-Stage Framework with Taxonomy-Guided Reasoning for Occupation Classification Using Large Language Models—0
Mitigating Cross-Modal Distraction and Ensuring Geometric Feasibility via Affordance-Guided, Self-Consistent MLLMs for Food Preparation Task Planning—0
Edit Transfer: Learning Image Editing via Vision In-Context Relations—0
Quantifying Interpretability in CLIP Models with Concept Consistency—0
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generationCode0
Test-Time Training Provably Improves Transformers as In-context Learners—0
Hybrid Agents for Image Restoration—0
Understanding the Logical Capabilities of Large Language Models via Out-of-Context Representation Learning—0
RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models—0
Take Off the Training Wheels Progressive In-Context Learning for Effective AlignmentCode0
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