SOTAVerified

In-Context Learning

Papers

Showing 17261750 of 2297 papers

TitleStatusHype
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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