SOTAVerified

In-Context Learning

Papers

Showing 101150 of 2297 papers

TitleStatusHype
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist CollaborationCode2
Point-In-Context: Understanding Point Cloud via In-Context LearningCode2
LLoCO: Learning Long Contexts OfflineCode2
VL-ICL Bench: The Devil in the Details of Multimodal In-Context LearningCode2
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data ScarcityCode2
PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistencyCode2
LLMs in the Imaginarium: Tool Learning through Simulated Trial and ErrorCode2
Large Language Models are In-Context Molecule LearnersCode2
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented GenerationCode2
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-TrainingCode2
Long-Context Language Modeling with Parallel Context EncodingCode2
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM JailbreakersCode2
Linear Transformers with Learnable Kernel Functions are Better In-Context ModelsCode2
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language ModelCode2
Can LLMs Learn New Concepts Incrementally without Forgetting?Code2
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric LearningCode2
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph CompletionCode2
Tyche: Stochastic In-Context Learning for Medical Image SegmentationCode2
In-Context Language Learning: Architectures and AlgorithmsCode2
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table UnderstandingCode2
Grimoire is All You Need for Enhancing Large Language ModelsCode2
Overview of the PromptCBLUE Shared Task in CHIP2023Code2
On Meta-PromptingCode2
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningCode2
SUQL: Conversational Search over Structured and Unstructured Data with Large Language ModelsCode2
LayoutPrompter: Awaken the Design Ability of Large Language ModelsCode2
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference TimeCode2
LLMs as Hackers: Autonomous Linux Privilege Escalation AttacksCode2
Making Large Language Models Perform Better in Knowledge Graph CompletionCode2
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language ModelsCode2
One for All: Towards Training One Graph Model for All Classification TasksCode2
MMICL: Empowering Vision-language Model with Multi-Modal In-Context LearningCode2
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA CompositionCode2
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide ResolutionCode2
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image ClassificationCode2
Improving CLIP Training with Language RewritesCode2
Adapting Language Models to Compress ContextsCode2
ExpertPrompting: Instructing Large Language Models to be Distinguished ExpertsCode2
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsCode2
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackCode2
In-Context Learning Unlocked for Diffusion ModelsCode2
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with RecommendationCode2
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-CorrectionCode2
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical InformationCode2
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing SynthesizersCode2
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Dataset Augmented by ChatGPTCode2
Towards Interpretable Mental Health Analysis with Large Language ModelsCode2
OpenICL: An Open-Source Framework for In-context LearningCode2
Language Model Crossover: Variation through Few-Shot PromptingCode2
Grounding Language Models to Images for Multimodal Inputs and OutputsCode2
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