SOTAVerified

In-Context Learning

Papers

Showing 351400 of 2297 papers

TitleStatusHype
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language ModelsCode1
A Computational Framework for Behavioral Assessment of LLM TherapistsCode1
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k RecommendationCode1
Fine-tuning Large Language Models for Adaptive Machine TranslationCode1
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language ModelsCode1
Catwalk: A Unified Language Model Evaluation Framework for Many DatasetsCode1
MotherNet: Fast Training and Inference via Hyper-Network TransformersCode1
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and GenerationCode1
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Cost-Effective In-Context Learning for Entity Resolution: A Design Space ExplorationCode1
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context LearningCode1
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context LearningCode1
Prompt Optimization via Adversarial In-Context LearningCode1
How to Configure Good In-Context Sequence for Visual Question AnsweringCode1
Dolphins: Multimodal Language Model for DrivingCode1
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
FreeAL: Towards Human-Free Active Learning in the Era of Large Language ModelsCode1
WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language ModelsCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text RecognizerCode1
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMsCode1
Self-Improving for Zero-Shot Named Entity Recognition with Large Language ModelsCode1
The Transient Nature of Emergent In-Context Learning in TransformersCode1
Are Large Language Models Temporally Grounded?Code1
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQACode1
Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language ModelsCode1
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small ScorerCode1
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space SteeringCode1
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument ExtractionCode1
LooGLE: Can Long-Context Language Models Understand Long Contexts?Code1
Instruct Me More! Random Prompting for Visual In-Context LearningCode1
Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMsCode1
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and AnalysisCode1
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient SelectionCode1
ExPT: Synthetic Pretraining for Few-Shot Experimental DesignCode1
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear RegressionCode1
ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-ThoughtCode1
In-Context Learning Creates Task VectorsCode1
LLM-in-the-loop: Leveraging Large Language Model for Thematic AnalysisCode1
Function Vectors in Large Language ModelsCode1
Implicit meta-learning may lead language models to trust more reliable sourcesCode1
On Bilingual Lexicon Induction with Large Language ModelsCode1
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMsCode1
Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop ReasoningCode1
Attack Prompt Generation for Red Teaming and Defending Large Language ModelsCode1
Context-Aware Meta-LearningCode1
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language ModelsCode1
In-context Pretraining: Language Modeling Beyond Document BoundariesCode1
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive AgentsCode1
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