SOTAVerified

In-Context Learning

Papers

Showing 751–775 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
In-Context Learning for Zero-Shot Speed Estimation of BLDC motorsCode0
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework—0
Implicit In-Context Learning: Evidence from Artificial Language Experiments—0
An extension of linear self-attention for in-context learning—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
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
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval—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
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