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In-Context Learning

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Showing 1401–1450 of 2297 papers

TitleStatusHype
Octo-planner: On-device Language Model for Planner-Action Agents—0
Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming—0
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization EvaluationCode0
BADGE: BADminton report Generation and Evaluation with LLMCode0
Automated Clinical Data Extraction with Knowledge Conditioned LLMs—0
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial ChallengesCode0
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models—0
TALEC: Teach Your LLM to Evaluate in Specific Domain with In-house Criteria by Criteria Division and Zero-shot Plus Few-shotCode0
LABOR-LLM: Language-Based Occupational Representations with Large Language Models—0
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs—0
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning—0
Enhancing Tool Retrieval with Iterative Feedback from Large Language ModelsCode0
Self-Constructed Context Decompilation with Fined-grained Alignment EnhancementCode0
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft—0
Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels—0
Token-based Decision Criteria Are Suboptimal in In-context LearningCode0
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking TaskCode0
Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning—0
Uncovering Hidden Intentions: Exploring Prompt Recovery for Deeper Insights into Generated Texts—0
Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding are Both the Problem—0
Automated radiotherapy treatment planning guided by GPT-4Vision—0
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task LearningCode0
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought—0
Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary—0
Learning to Retrieve Iteratively for In-Context Learning—0
SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shots—0
Data-Centric AI in the Age of Large Language Models—0
In-Context In-Context Learning with Transformer Neural Processes—0
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations—0
When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full ModelsCode0
In-Context Learning on a Budget: A Case Study in Token Classification—0
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning—0
ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models—0
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis—0
Exploring and Benchmarking the Planning Capabilities of Large Language Models—0
Navigating the Labyrinth: Evaluating and Enhancing LLMs' Ability to Reason About Search Problems—0
What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models—0
In-Context Learning of Energy Functions—0
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion—0
DocCGen: Document-based Controlled Code Generation—0
Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study—0
Meta Reasoning for Large Language Models—0
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic InferencesCode0
Hallucination Mitigation Prompts Long-term Video UnderstandingCode0
Fine-grained Controllable Text Generation through In-context Learning with Feedback—0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment—0
Multi-Layer Ranking with Large Language Models for News Source Recommendation—0
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation—0
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional InformationCode0
Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions—0
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