conftrace_

in-context demonstration

14 papers

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Co-occurring keywords · papers mentioning both

in-context learning (8) large language model (5) few-shot learning (4) retrieval-augmented generation (2) instruction tuning (2) zero-shot learning (2) program-aided language model (1) natural language feedback (1) tool-assisted generation (1) model prior (1)

Papers

VideoNet: A Large-Scale Dataset for Domain-Specific Action Recognition CVPR 2026 AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations ACL 2025 EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration ICML 2025 Exploring Task-Level Optimal Prompts for Visual In-Context Learning AAAI 2025 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning ICML 2025 On the Role of Model Prior in Real-World Inductive Reasoning EMNLP 2025 Towards Verifiable Text Generation with Generative Agent AAAI 2025 When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning NAACL 2025 Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains ACL 2024 Large Language Models are In-context Teachers for Knowledge Reasoning EMNLP 2024 LLMCrit: Teaching Large Language Models to Use Criteria ACL 2024 A Comprehensive Evaluation of Tool-Assisted Generation Strategies EMNLP 2023 In-Context Demonstration Selection with Cross Entropy Difference EMNLP 2023 Noisy Channel Language Model Prompting for Few-Shot Text Classification ACL 2022