SOTAVerified

In-Context Learning

Papers

Showing 17011750 of 2297 papers

TitleStatusHype
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning0
Explanations from Large Language Models Make Small Reasoners Better0
Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task0
Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners0
Exploring and Benchmarking the Planning Capabilities of Large Language Models0
Exploring Automatic Evaluation Methods based on a Decoder-based LLM for Text Generation0
Exploring Autonomous Agents through the Lens of Large Language Models: A Review0
Exploring Chain-of-Thought Style Prompting for Text-to-SQL0
Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning0
Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo0
Exploring Example Selection for Few-shot Text-to-SQL Semantic Parsing0
Exploring Imbalanced Annotations for Effective In-Context Learning0
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text0
Exploring In-Context Learning Capabilities of ChatGPT for Pathological Speech Detection0
Exploring Large Language Models for Product Attribute Value Identification0
Exploring Length Generalization in Large Language Models0
Exploring Task-Level Optimal Prompts for Visual In-Context Learning0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking0
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study0
Exploring The Landscape of Distributional Robustness for Question Answering Models0
Exploring the landscape of large language models: Foundations, techniques, and challenges0
Exploring the Learning Capabilities of Language Models using LEVERWORLDS0
Exploring the Relationship between In-Context Learning and Instruction Tuning0
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models0
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts0
Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking0
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following0
Cognitive Planning for Object Goal Navigation using Generative AI Models0
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning0
Extractive Summarization via ChatGPT for Faithful Summary Generation0
Eyeballing Combinatorial Problems: A Case Study of Using Multimodal Large Language Models to Solve Traveling Salesman Problems0
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning0
Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use0
Factors affecting the in-context learning abilities of LLMs for dialogue state tracking0
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System0
Fairness-guided Few-shot Prompting for Large Language Models0
FairPFN: Transformers Can do Counterfactual Fairness0
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation0
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking0
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning0
Fast Training Dataset Attribution via In-Context Learning0
Feasibility with Language Models for Open-World Compositional Zero-Shot Learning0
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality0
Federated In-Context LLM Agent Learning0
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning0
Few-Shot Classification & Segmentation Using Large Language Models Agent0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages0
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification0
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models0
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment0
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