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In-Context Learning

Papers

Showing 10511075 of 2297 papers

TitleStatusHype
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations0
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property PredictionCode1
Exploring and Benchmarking the Planning Capabilities of Large Language Models0
What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models0
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?Code1
Navigating the Labyrinth: Evaluating and Enhancing LLMs' Ability to Reason About Search Problems0
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis0
In-Context Learning of Energy Functions0
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion0
In-Context Editing: Learning Knowledge from Self-Induced DistributionsCode2
Meta Reasoning for Large Language Models0
Soft Prompting for Unlearning in Large Language ModelsCode1
Fine-grained Controllable Text Generation through In-context Learning with Feedback0
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic InferencesCode0
Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study0
Multi-Layer Ranking with Large Language Models for News Source Recommendation0
DocCGen: Document-based Controlled Code Generation0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment0
Hallucination Mitigation Prompts Long-term Video UnderstandingCode0
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation0
Probing the Decision Boundaries of In-context Learning in Large Language ModelsCode1
Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context LearningCode0
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 Interactions0
On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models0
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