SOTAVerified

In-Context Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1751–1800 of 2297 papers

TitleStatusHype
Large Language Models are In-context Preference Learners—0
Few-shot Multimodal Multitask Multilingual Learning—0
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning—0
Finding Support Examples for In-Context Learning—0
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond—0
Fine-grained Controllable Text Generation through In-context Learning with Feedback—0
FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction—0
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance—0
Fine-tune Language Models to Approximate Unbiased In-context Learning—0
Fine-tuning Large Language Models for Domain-specific Machine Translation—0
FLIRT: Feedback Loop In-context Red Teaming—0
Focused Large Language Models are Stable Many-Shot Learners—0
FoodPuzzle: Developing Large Language Model Agents as Flavor Scientists—0
Foundation Models for Causal Inference via Prior-Data Fitted Networks—0
Foundation models in brief: A historical, socio-technical focus—0
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models—0
From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL—0
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning—0
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set—0
From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond—0
From Memories to Maps: Mechanisms of In-Context Reinforcement Learning in Transformers—0
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems—0
From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs—0
From Persona to Personalization: A Survey on Role-Playing Language Agents—0
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning—0
From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning—0
From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs—0
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs—0
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems—0
GAMformer: In-Context Learning for Generalized Additive Models—0
Gated recurrent neural networks discover attention—0
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning—0
GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems—0
GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning—0
Gender-specific Machine Translation with Large Language Models—0
Generalization from Starvation: Hints of Universality in LLM Knowledge Graph Learning—0
Generalization to New Sequential Decision Making Tasks with In-Context Learning—0
Generating Diverse Training Samples for Relation Extraction with Large Language Models—0
Controlling Equational Reasoning in Large Language Models with Prompt Interventions—0
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass—0
Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning—0
Generative Model for Less-Resourced Language with 1 billion parameters—0
Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models—0
Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting—0
Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning—0
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning—0
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts—0
GMC: A General Framework of Multi-stage Context Learning and Utilization for Visual Detection Tasks—0
Going Beyond Word Matching: Syntax Improves In-context Example Selection for Machine Translation—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
Show:102550
← PrevPage 36 of 46Next →

No leaderboard results yet.