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In-Context Learning

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Showing 1001–1050 of 2297 papers

TitleStatusHype
Mining Reasons For And Against Vaccination From Unstructured Data Using Nichesourcing and AI Data Augmentation—0
Enhancing In-Context Learning via Implicit Demonstration Augmentation—0
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI—0
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language ModelsCode0
Aligning Teacher with Student Preferences for Tailored Training Data Generation—0
STBench: Assessing the Ability of Large Language Models in Spatio-Temporal AnalysisCode1
Can we teach language models to gloss endangered languages?—0
Efficient course recommendations with T5-based ranking and summarizationCode0
A Survey on Mixture of ExpertsCode3
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
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization EvaluationCode0
Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming—0
Octo-planner: On-device Language Model for Planner-Action Agents—0
BADGE: BADminton report Generation and Evaluation with LLMCode0
Automated Clinical Data Extraction with Knowledge Conditioned LLMs—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
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft—0
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning—0
Retrieval-style In-Context Learning for Few-shot Hierarchical Text ClassificationCode1
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs—0
Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels—0
Enhancing Tool Retrieval with Iterative Feedback from Large Language ModelsCode0
Self-Constructed Context Decompilation with Fined-grained Alignment EnhancementCode0
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking TaskCode0
Finding Transformer Circuits with Edge PruningCode2
Token-based Decision Criteria Are Suboptimal in In-context LearningCode0
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
ICLEval: Evaluating In-Context Learning Ability of Large Language ModelsCode1
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context LearningCode1
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought—0
Learning to Retrieve Iteratively for In-Context Learning—0
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary StudyCode2
Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary—0
Data-Centric AI in the Age of Large Language Models—0
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task LearningCode0
SeCoKD: Aligning Large Language Models for In-Context Learning with Fewer Shots—0
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training DataCode1
When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full ModelsCode0
Learning to Generate Answers with Citations via Factual Consistency ModelsCode1
In-Context Learning on a Budget: A Case Study in Token Classification—0
LIVE: Learnable In-Context Vector for Visual Question AnsweringCode1
In-Context In-Context Learning with Transformer Neural Processes—0
ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models—0
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning—0
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations—0
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