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In-Context Learning

Papers

Showing 19011950 of 2297 papers

TitleStatusHype
Looped Transformers as Programmable ComputersCode0
Iterative Forward Tuning Boosts In-Context Learning in Language ModelsCode0
Is In-Context Learning in Large Language Models Bayesian? A Martingale PerspectiveCode0
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy RisksCode0
Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD PromptsCode0
Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTSCode0
Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error CorrectionCode0
IRONIC: Coherence-Aware Reasoning Chains for Multi-Modal Sarcasm DetectionCode0
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist ExaminationCode0
Investigating the Zone of Proximal Development of Language Models for In-Context LearningCode0
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel InterpretationsCode0
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task LearningCode0
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised LearningCode0
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial ChallengesCode0
Instruction Tuned Models are Quick LearnersCode0
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMsCode0
Sample Efficient Demonstration Selection for In-Context LearningCode0
Evaluating and Safeguarding the Adversarial Robustness of Retrieval-Based In-Context LearningCode0
Position: Understanding LLMs Requires More Than Statistical GeneralizationCode0
Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text DetectionCode0
The Mystery of Compositional Generalization in Graph-based Generative Commonsense ReasoningCode0
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining TasksCode0
Associative memory inspires improvements for in-context learning using a novel attention residual stream architectureCode0
Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and RetrievalCode0
Instructed Language Models with Retrievers Are Powerful Entity LinkersCode0
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context LearningCode0
Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question AnsweringCode0
ScatterShot: Interactive In-context Example Curation for Text TransformationCode0
Understanding Prompt Tuning and In-Context Learning via Meta-LearningCode0
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context LearningCode0
Assertion Detection Large Language Model In-context Learning LoRA Fine-tuningCode0
Understanding the Generalization of In-Context Learning in Transformers: An Empirical StudyCode0
Conquering the Retina: Bringing Visual in-Context Learning to OCTCode0
The representation landscape of few-shot learning and fine-tuning in large language modelsCode0
Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational ReasoningCode0
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine TranslationCode0
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context LearningCode0
Measuring and Modifying Factual Knowledge in Large Language ModelsCode0
Grounded Language Agent for Product Search via Intelligent Web InteractionsCode0
Inference and Verbalization Functions During In-Context LearningCode0
Measuring Inductive Biases of In-Context Learning with Underspecified DemonstrationsCode0
Measuring Pointwise V-Usable Information In-Context-lyCode0
Measuring the Robustness of NLP Models to Domain ShiftsCode0
Voicebox: Text-Guided Multilingual Universal Speech Generation at ScaleCode0
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Code0
Inductive-bias Learning: Generating Code Models with Large Language ModelCode0
Evaluating In-Context Learning of Libraries for Code GenerationCode0
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar TasksCode0
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept UnderstandingCode0
Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical DomainCode0
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