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In-Context Learning

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Showing 1651–1700 of 2297 papers

TitleStatusHype
Text as Images: Can Multimodal Large Language Models Follow Printed Instructions in Pixels?Code1
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional PropertiesCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges—0
FreeAL: Towards Human-Free Active Learning in the Era of Large Language ModelsCode1
WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language ModelsCode1
AlignedCoT: Prompting Large Language Models via Native-Speaking DemonstrationsCode0
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text RecognizerCode1
In-Context Learning Functions with Varying Number of MinimaCode0
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning—0
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software—0
Few-Shot Classification & Segmentation Using Large Language Models Agent—0
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems—0
Exploring the Relationship between In-Context Learning and Instruction Tuning—0
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals—0
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering—0
SUQL: Conversational Search over Structured and Unstructured Data with Large Language ModelsCode2
Evaluating In-Context Learning of Libraries for Code GenerationCode0
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User PerceptionCode0
GistScore: Learning Better Representations for In-Context Example Selection with Gist BottlenecksCode0
Leveraging Code to Improve In-context Learning for Semantic ParsingCode0
Multi-Step Dialogue Workflow Action Prediction—0
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label ClassificationCode0
Hijacking Large Language Models via Adversarial In-Context LearningCode0
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning—0
Crafting In-context Examples according to LMs' Parametric KnowledgeCode0
Enhancing Machine Translation through Advanced In-Context Learning: A Methodological Strategy for GPT-4 Improvement—0
Auto-ICL: In-Context Learning without Human SupervisionCode0
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks—0
Assessing Translation capabilities of Large Language Models involving English and Indian Languages—0
Self-Improving for Zero-Shot Named Entity Recognition with Large Language ModelsCode1
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMsCode1
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context LearningCode0
On the Calibration of Multilingual Question Answering LLMs—0
Explore Spurious Correlations at the Concept Level in Language Models for Text ClassificationCode0
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models—0
On-the-Fly Fusion of Large Language Models and Machine Translation—0
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual AlignmentCode0
Language Models are Better Bug Detector Through Code-Pair ClassificationCode0
Are Large Language Models Temporally Grounded?Code1
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQACode1
How good are Large Language Models on African Languages?—0
The Transient Nature of Emergent In-Context Learning in TransformersCode1
Anti-LM Decoding for Zero-shot In-context Machine TranslationCode0
In-context Learning Generalizes, But Not Always Robustly: The Case of SyntaxCode0
In-context Learning and Gradient Descent RevisitedCode0
Using Natural Language Explanations to Improve Robustness of In-context LearningCode0
How are Prompts Different in Terms of Sensitivity?Code0
Speech-based Slot Filling using Large Language Models—0
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner MonologueCode0
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