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In-Context Learning

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Showing 201–250 of 2297 papers

TitleStatusHype
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization—0
Scaling sparse feature circuit finding for in-context learning—0
Chain-of-Thought Prompting for Out-of-Distribution Samples: A Latent-Variable StudyCode0
Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation—0
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models—0
Exact Learning Dynamics of In-Context Learning in Linear Transformers and Its Application to Non-Linear Transformers—0
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation—0
On Linear Representations and Pretraining Data Frequency in Language Models—0
Selective Demonstration Retrieval for Improved Implicit Hate Speech Detection—0
Improving Instruct Models for Free: A Study on Partial Adaptation—0
LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generation—0
Tabular foundation model to detect empathy from visual cues—0
Can LLMs handle WebShell detection? Overcoming Detection Challenges with Behavioral Function-Aware Framework—0
Improving In-Context Learning with Reasoning DistillationCode0
Assessing Judging Bias in Large Reasoning Models: An Empirical Study—0
Integrating Large Language Models for Automated Structural Analysis—0
Mitigating Many-Shot Jailbreaking—0
Knowledge Graph-extended Retrieval Augmented Generation for Question Answering—0
Mimic In-Context Learning for Multimodal TasksCode1
Investigating Vision-Language Model for Point Cloud-based Vehicle Classification—0
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-MixingCode1
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning—0
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
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning—0
ZeroED: Hybrid Zero-shot Error Detection through Large Language Model Reasoning—0
The Dual-Route Model of Induction—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
Large (Vision) Language Models are Unsupervised In-Context LearnersCode1
InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation—0
In-Context Learning for Zero-Shot Speed Estimation of BLDC motorsCode0
Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights—0
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework—0
Repetitions are not all alike: distinct mechanisms sustain repetition in language models—0
Implicit In-Context Learning: Evidence from Artificial Language Experiments—0
Exploring In-Context Learning Capabilities of ChatGPT for Pathological Speech Detection—0
An extension of linear self-attention for in-context learning—0
MiZero: The Shadowy Defender Against Text Style Infringements—0
Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use—0
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
Teaching LLMs Music Theory with In-Context Learning and Chain-of-Thought Prompting: Pedagogical Strategies for MachinesCode0
Post-Incorporating Code Structural Knowledge into LLMs via In-Context Learning for Code Translation—0
Rethinking Graph Structure Learning in the Era of LLMs—0
Monte Carlo Sampling for Analyzing In-Context Examples—0
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and RoadmapCode2
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection—0
Test-Time Visual In-Context TuningCode1
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