SOTAVerified

In-Context Learning

Papers

Showing 351375 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
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and GenerationCode1
MotherNet: Fast Training and Inference via Hyper-Network TransformersCode1
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
Prompt Optimization via Adversarial In-Context LearningCode1
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising 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
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language ModelsCode1
FreeAL: Towards Human-Free Active Learning in the Era of Large Language ModelsCode1
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text RecognizerCode1
Self-Improving for Zero-Shot Named Entity Recognition with Large Language ModelsCode1
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMsCode1
The Transient Nature of Emergent In-Context Learning in TransformersCode1
Are Large Language Models Temporally Grounded?Code1
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